ecological carrying capacity in tourism

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Tourism Environmental Carrying Capacity Review, Hotspot, Issue, and Prospect

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The data presented are available upon request from the corresponding author.

With the ongoing expansion of tourism, a conflict has arisen between economic growth in the tourism industry and environmental preservation, which has attracted the interest of government and academic groups. Because it enables the adaption of tourist activities and buildings in the tourism area in order to protect the natural resources of the scenic area while seeking economies of scale, the tourism environmental carrying capacity system is an essential tool for resolving this conundrum. It also enables tourist sites to grow sustainably while understanding their limitations and carrying capacity. This study uses Citespace 6.1.2 and VOSviewer 1.6.18 analysis software to conduct a bibliometric analysis and review of 297 articles on tourism environmental carrying capacity. This analysis includes early warning studies, assessment models and management tools, and analyses of keyword co-occurrence and emergent word co-occurrence. The article’s conclusion makes recommendations for further research, including the division of each interest group, improved dynamic forecast and early warning of tourism environmental carrying capacity, and the development of an objective, scientific model of tourism carrying capacity.

1. Introduction

The effects of tourism have been more and more prominent in conversations and studies about development during the last few decades. The tourism industry has a huge potential to spur economic development in destinations. However, its expanding effects have resulted in a number of current and potential issues, as well as environmental, social, cultural, economic, and political problems in destinations and systems that call for alternative, more environmentally and destination country-friendly approaches to development, planning, and policy. In the early stages of tourism growth, there is a far more supply of newly created destination regions’ resources, facilities, etc., compared to the demand from travelers, who can make use of the destination’s many tourism resources and surroundings. While the growth of tourist destinations, commercial advertising, word-of-mouth marketing, and other methods to increase the popularity of the destination, its development into an upward stage, followed by a significant influx of tourists, although during this period, the destination will also strengthen the corresponding supporting facilities and improve the upgrade, etc., the supply measurement end of the increase may be significantly less than the demand side. Additionally, some tourists’ moral character may lead them to litter, paint on the walls, destroy display cabinets and signage, and other actions that are not suited to the development of tourism sustainably, such as the depletion of resources, pollution of the environment, damage to facilities, and customer dissatisfaction. The measurement of tourism environmental carrying capacity (TECC) is a potent tool to achieve this goal and will be crucial in scenic areas and tourist destinations. Thus, it is vital to increase the control and dynamic monitoring of the destination.

The TECC, initially known as tourism volume, refers to the threshold of the intensity of tourism activities that the natural, economic, and social systems of a tourism destination can withstand, and it is essentially a comprehensive reflection of the structural characteristics of the tourism environment system. In 1964, American scholar J. Alan Wagar published his academic monograph “Carrying Capacity of Wildlands for Recreation” [ 1 ]. According to Wagar, recreation capacity refers to the amount of recreation used in a recreation area that can maintain tourism quality in the long term. Since Wagar, TECC research results have been emerging. The World Tourism Organization first used the phrase “tourism capacity” in its report work from 1978 to 1979, which officially introduced the concept to the world of international research [ 2 ]; then, scholars and various stakeholders reached a consensus on its important role in the conservation of natural systems which plays an important role in sustainable tourism. In February 1987, at the 8th World Commission on Environment and Development held in Tokyo, Japan, Our Common Future was adopted and subsequently published, pointing out the importance of sustainable development for the common destiny and common future of humankind and the concept of sustainable development was then introduced into tourism research and policy [ 3 ], and sustainable tourism and TECC have attracted considerable interest from tourism researchers, including the establishment of a thematic journal, Journal of Sustainable Tourism , which now has an impact factor of 9.37.

At the UN Sustainable Development Summit held in New York on 25 September 2015, the 193 member states of the United Nations formally adopted 17 Sustainable Development Goals (SDGs), abbreviated as SDGs [ 4 ]. The SDGs aim to shift to a sustainable development path by thoroughly addressing the three dimensions of development—social, economic, and environmental—in an integrated manner from 2015 to 2030. Among them, the 14th and 15th are protecting and sustainably using oceans and marine resources for sustainable development; protecting, restoring, and promoting sustainable use of terrestrial ecosystems; sustainable forest management; combating desertification, halting and reversing land degradation, and curbing biodiversity loss, respectively. Currently, human activities such as pollution, fishery depletion, and habitat loss are thought to have “severely damaged” up to 40% of the world’s oceans. In addition to providing food security and protection, forests—which cover one-third of the earth’s surface—are important for halting climate change, preserving biodiversity, and housing indigenous peoples. 13 million hectares of forest are lost each year, and 3.6 million hectares of land get desertified as a result of ongoing dryland degradation. The livelihoods and attempts of millions of people to escape poverty are impacted by deforestation and desertification brought on by human activity and climate change, which represent serious obstacles to sustainable development. Both the sea and the land are important hosts for tourism activities. In terms of the marine aspect, there is the coastal tourism of the Gold Coast, the sunny beaches of Catalonia, the Great Barrier Reef of Australia, the sea surfing of California, the Scandinavian fjord scenery, the sunny coast of Providenciales in the Turks and Caicos Islands of the Caribbean, etc. The terrestrial aspect includes Yellowstone National Park, the Koktokay Global Geopark, Sipsongpanna Rainforest, Kenya Wildlife Reserve, Masai Mara Savannah, etc. The majority of these well-known tourist destinations are mature tourist destinations, and all of them are struggling with overloading. As a result, their corresponding marine or terrestrial environments will suffer accordingly, necessitating a stronger study of the carrying capacity of the environment that is not just focused on the aforementioned tourist destinations.

The TECC has been the subject of numerous theoretical and empirical studies ( Table 1 ), but the research in this area is still in need of systematic trawling. Additionally, almost all of the studies use the CNKI and Web of Science databases as their primary literature sources rather than the more comprehensive Scopus database. The purpose of this paper is to analyze the research progress, theoretical concepts, assessment models, management tools and early warning systems of TECC, especially how to recognize and set the environmental carrying capacity of a tourism destination, and to propose a clear structure for subsequent research through the review. Although the TECC of land-based and sea-based tourism destinations must be very different, this paper uses conceptual research to explore the improvement direction and coupling points for subsequent research on the topic of TECC. The subsequent structure of this paper is as follows. Section 2 describes the analytical methods used in the study and the sources of research data; Section 3 presents the analysis results, including bibliometric analysis, keyword co-occurrence and emergent word co-occurrence analysis, and also reviews and summarizes the related conceptual studies, assessment model studies, applied studies and management tools and early warning studies, and makes a research review; the Section 4 final discussion and Section 5 conclusion section summarizes the findings of the article and presents the limitations of the article and future research prospects.

Summary of 11 reviews on tourism carrying capacity.

2. Methodology

In this study, the Mapping Knowledge Domain (MKD) was used [ 20 ] to analyze the scientific research results of the TECC from 1982 to 2022. In terms of the research idea, it follows the strategy from macro to micro, from whole to local, and from intuitive simplicity to in-depth complexity [ 21 ].

2.1. Mapping the Knowledge Domain

As a cutting-edge method in the field of scientometric analysis technology, knowledge domain mapping combines the theories and methods of applied mathematics, information science, computer science and graphics with the methods of co-citation analysis and co-occurrence analysis in bibliometrics, using knowledge mapping to demonstrate the core structure, development history, frontier areas and knowledge framework of the discipline. It solves the problems of traditional literature research methods, such as difficult data screening and heavy workload and has the advantages of being scientific, comprehensive, standardized, accurate and simple [ 22 ]. In this study, CiteSpace 6.1.2 and VOSviewer 1.6.18 software were used to map the knowledge domain of TECC.

2.2. Collection of Literature Data

Scopus is a multidisciplinary abstract-indexed database launched by Elsevier [ 23 ] in 2005 ( http://www.scopus.com , accessed on 10 September 2022), which now uniquely combines a comprehensive, expertly curated abstract and citation database with enriched data and linked scholarly literature across a wide variety of disciplines. In Scopus, scholars can quickly find relevant and authoritative research, identifies experts, and get access to reliable data, metrics, and analytical tools. Boasting the largest pool of author profiles available (17 million and counting), Scopus easily outmatches the competition [ 24 ]. It is one of the standard citation, bibliometric and abstract databases in the field of scientometrics and bibliometrics. Scopus has significant advantages over the Web of Science database in terms of reference completeness, indexing, and researcher relations [ 25 ].

First, in order to obtain as much relevant literature as possible, “Tourism Carrying Capacity”, “TECC”, and “TCC” were used as keywords in the “Topic” of the literature search, including title, abstract, and keywords; second, the time span was set to “1982–2022”, and then the search code was set to (TS = Tourism Carrying Capacity, TS = TCC or TS = TECC) and Language: (English) and Time range: (1982–2022). The search was conducted on 25 July 2022, and the database was last updated on 5 August 2022. A total of 862 results were collected and carefully checked (Since there are other research themes also abbreviated as TECC or TCC, e.g., Tactical Emergency Casualty Care, Technology Commercialization Centers, and Transnational Capitalist Class. We have then undergone a two-round screening). In the first round of screening, monographs, conference proceedings, and book reprints were excluded, and only journal articles and reviews in English-language were collected, as these are generally considered more influential and reputable than the formers. In the second screening round, results that did not involve tourism, travel, or leisure studies and were not related to environmental carrying capacity were excluded from this study. Finally, 297 valid re-study results were retained as the literature sample.

2.3. Analysis Methods

To address the objectives of this study, the article uses analysis methods such as keyword co-occurrence and bursty analysis and analyzes the volume of publications and journal trends.

Co-word analysis uses the co-occurrence of word pairs or noun phrases in a collection of literature to determine the relationship between topics in the discipline represented by that collection. Keywords are the core summary of a paper, and analysis of keywords in a paper can provide a glimpse into the topic of the paper [ 26 ]. Several keywords given in a paper must be related in some way, and this association can be expressed in terms of the frequency of co-occurrence. It is generally believed that the more frequently the word appears in the same paper, the closer the relationship between these topics.

Bursty words are keywords with low frequency but increasing growth momentum [ 27 ]. This indicates that the keyword is receiving more and more attention from scholars in the subject area and has a higher probability of developing into a research hotspot in the future [ 28 ]. The development of things follows the basic life cycle theory, and keywords are no exception. Generally speaking, there are four stages of keyword development in the process of scientific communication: emerging, developing, maturing, and diminishing. Burst topic detection works especially well in online social media and burst word detection is a significant issue in the field of information metrics study internationally.

CiteSpace and VOSviewer software can be used to analyze a large number of keywords for co-occurrence and burst detection and to identify hot spots and trends in a scientific field more objectively and effectively.

The network construction in CiteSpace is based on time slice. In this study, the unit of the time slice is set to 5 years (i.e., a total of 8-time slices). Note types are selected as Author, Institution, Keyword and Reference for analysis. The network construction in VOSviewer is based on the whole, and in this study, the Type of analysis selects Co-occurrence and Bibliographic coupling, respectively, and the Unit of analysis selects All Keywords and Sources, respectively.

3.1. Overview

The annual distribution of literature is a mapping of the quantity of literature in the time dimension. It is a quantitative basis for understanding the research progress and classifying the research stages and can reflect the development level of TECC research to a certain extent. Figure 1 shows the number of works of literature in the research sample, with an overall increasing trend, indicating that scholars pay more and more attention to the research on TECC. In general, scholars’ attention to TECC can be divided into 3 stages. The first stage was before 1987, TECC was in its infancy, and very few keen environmental scholars paid attention to the environmental carrying capacity problem under the theme of tourism. The number of articles issued in this stage is only sporadically distributed; the second stage is the middle growth stage from 1987 to 2015 since the adoption and publication of Our Common Future at the 8th World Commission on Environment and Development in Tokyo, Japan, the concept of sustainable development was introduced into tourism research and policy at this point, and the theme of TECC received significant attention. Along with environmental issues or overload issues in some tourist destinations, etc., many empirical studies of TECC were conducted at this time. The third stage is the booming stage from 2015 to the present, with the official adoption of 17 Sustainable Development Goals (SDGs) at the United Nations Sustainable Development Summit held in New York in 2015; as all sectors pursue SDGs, researchers also work toward sustainable development, and since the travel and the tourist industry is a key component, sustainable tourism development has become a hot topic. They tend to focus on projects that are relevant to the TECC. The number of articles published has reached a peak in the last two years. Conceptual studies, assessment model studies, management tools, and early warning studies, as well as empirical studies on the TECC of various types of destinations, have been flourishing and appearing in various journals.

Annual Publication statistics of TECC during 1982–2022.

As is shown in Figure 2 , the top 5 journals in terms of the number of articles published are Sustainability, Wit Transactions on Ecology and The Environment, Tourism Management, Asia Pacific Journal of Tourism Research, and Ocean And Coastal Management, among which, Sustainability has 24 articles. In contrast, Tourism Management was early to focus on the topic of TECC, maintaining a small number of articles in the 1980s, while the other journals lacked this research tradition. Almost all of them only started to get involved in this topic after 2005, and even though the number of articles is relatively high, the theoretical foundation seems to be less solid than that of Tourism Management, which, of course, must be admittedly related to the time of the creation of each journal. It is worth noting that, as one of the SDGs’ sustainable development goals, i.e., the conservation and sustainable use of oceans and marine resources for sustainable development, the TECC in the ocean has received a great deal of attention from scholars, and Ocean and Coastal Management is a journal that covers most of the authoritative articles on the TECC in marine areas. In addition, the International Journal of Sustainable Development and World Ecology, the Journal of Sustainable Tourism, and Environmental Management are also important journals for TECC research ( Figure 3 .).

Top 5 journals in terms of articles on the TECC.

The coupling relationship between journals on the theme of TECC.

3.2. Keyword Co-Occurrence Analysis

From the results of the keyword co-occurrence analysis presented in Figure 4 , the earlier studies (#7 #8) focused on the TECC measurement of natural tourism destinations, including global geoparks [ 29 ], national parks [ 30 , 31 ], recreational wetlands [ 32 ] and independent islands [ 33 ] (#6), while subsequent studies (#5) have sought to change the traditional way of measuring the TECC [ 34 ] and exploring integrated measurement methods. In the 21st century, research on TECC is no longer limited to the measurement of physical carrying capacity but also focuses on the impact of variables such as destination perception, tourist satisfaction and resident perception on tourism carrying capacity and introduces social carrying capacity [ 35 , 36 ] (#1). In 2015, with the United Nations Sustainable Development Summit held in New York, scholars increased their attention to the sustainable development of the ocean, and in terms of marine tourism, Catalonia, Spain, has the most abundant tourism resources and is the most popular marine tourism destination, with a large number of tourists from the United Kingdom, Northern Europe and North America throughout the year all seasons, and the study of the environmental carrying capacity of this region has become a recent hot topic [ 37 , 38 ] (#0). As a whole, sustainable development, destination management and ecotourism are the main classical topics in TECC research (Carrying Capacity and research topics are similar and not distinguishable, so they are excluded). It is noteworthy that the keyword China, which is the only geographical category keyword to appear in both two keyword co-occurrence analyses ( Figure 5 .). Despite the fact that China’s tourism research started late, it has already resulted in a significant number of articles on the TECC due to the country’s abundant tourism resources and a sufficient number of visitors, as well as the contradictory issues between visitors, tourism resources, and residents, which have drawn attention from many scholars.

Keyword co-occurrence analysis with 5 years as a time slice.

Overall keyword co-occurrence analysis.

3.3. Co-Occurrence Analysis of Bursty Words

As a complement to the keyword co-occurrence analysis, the bursty word analysis demonstrates how the study hotspots for TECC have changed over time ( Figure 6 .). Since the 1990s, overtourism has had a negative impact on the growth of some tourist sites, especially in terms of irreparable environmental damage. From 1991 to 2008, environmental impact assessment has become a popular topic. When it comes to regional differences, the European region is well-known as a travel destination because of its abundant tourism resources, earlier tourism development, and more developed destination system, while the Asian region is well-known as a travel destination because of its proximity to the European market and distinctive tourism resources, which draw travelers from all over the world [ 39 ]. Therefore, in the period 2003–2011, Europe, Eurasia, Athens and Southern Europe were the focus of research on the TECC in the period 2006–2011 [ 40 ]. The rise of scuba diving has been more than a decade, and as a highly participatory tourism experience, it has had a great impact on the marine environment, marine biodiversity (fish habitats, coral reefs), etc. The study of the location and reasonable capacity of reasonable areas for scuba diving is a popular theme for 2012–2017 [ 41 , 42 ]. In recent years, with the new crown epidemic for social distance, many tourist destinations are in the stage of overtourism, and while re-measuring the environmental carrying capacity, scholars have also noted the changes in the perception of tourists and residents, introducing the social carrying capacity [ 36 ]. Thus, perception and overtourism are the hot spots of recent studies. Notably, TECC research in China was also a major hotspot during the period 2015–2020 [ 43 , 44 ]. However, as a result of COVID-19 in 2020 and the exponential drop in foreign travelers, study on this topic has slowed down.

Co-occurrence analysis of emergent words (with a 5-year time slice).

3.4. Literature Review of Conceptual Studies, Assessment Model Studies, Applied Studies, Management Tools, and Early Warning Studies

Neo-Malthusianism gave rise to the idea of TECC, which later developed into a comprehensive system that includes physical capacity, tourist thresholds, growth management estimates, etc. Numerous research on the environmental impact of tourism has been conducted, but their development has not been systematically sorted out. Various assessment models have been developed from the first descriptive and straightforward data used in these studies. However, it is debatable if various models can adapt to various settings and circumstances. Additionally, there are multiple kinds of tourist destinations, and these destinations exhibit different characteristics and experience varying degrees of overload issues. In order to address these issues and support the tourism destinations’ sustainable development, management tools and early warning systems must be used. As a result, the conceptual analysis of the TECC, the study of assessment models, the empirical analysis of categorized destinations, and the analysis of management tools and early warning systems constitute the four main components of this chapter’s literature review. According to these four results, we further conclude 4 characteristics of current research and put forward 4 prospects regarding the future research agenda.

3.4.1. Conceptual Research

The concept of recreational carrying capacity evolved from a neo-Malthusian perspective of resource limitation. The concept of carrying capacity was originally developed in the field of range and wildlife management, based on the notion that organisms can only survive within a limited range of physical conditions, i.e., “the availability of suitable living conditions determines the number of organisms that can exist in the environment” [ 45 ], the problem faced by these fields relates to the physical capacity of a given area of pasture, hay-field or heathland to maintain the quantity and quality of forage over time to sustain a given number of domestic or wild livestock. The TECC evolved from the environmental capacity; in 1963, W. Lapage [ 46 ] first proposed the concept of TECC based on the study of the maximum capacity of the tourism environment. In 1964, American scholar J. Alan Wagar [ 1 ] published his academic monograph Carrying Capacity of Wildlands for Recreation . He argues that recreation capacity is the amount of recreation used in a recreation area that can sustain tourism quality over time. Research on tourist capacity has developed since Wagar. The term tourism capacity was formally introduced by the World Tourism Organization in its work report in 1978–1979, marking the beginning of tourism capacity into the scope of international research. Hovinen (1982) [ 47 ] defined carrying capacity as the maximum number of tourists that can be accommodated without causing excessive environmental degradation and without leading to a decrease in tourist satisfaction. Mathieson and Wall (1982) [ 48 ] defined carrying capacity by considering the physical impact of tourism on a destination in terms of environmental and experiential aspects, such as the maximum number of people who can use the recreational environment without an unacceptable decline in the quality of the recreational experience. On the other hand, O’Reilly (1986) [ 49 ] described two schools of thought on carrying capacity. One, carrying capacity is considered to be the ability of a destination area to absorb tourism before the negative effects are felt by the host and resident. Carrying capacity is determined by how many tourists are wanted, not by how many tourists can be attracted. The second view is that TECC is the level of tourist flow that is exceeded because some of the tourists’ own perceived capacity has been exceeded, and therefore the destination area no longer satisfies and attracts them. O’Reilly (1986) [ 49 ] also points out that Mathieson’s definition only considers the physical impact of tourism on the destination from an environmental and experiential perspective. He claims that carrying capacity can be established not only from a physical perspective but also for the social, cultural and economic subsystems of the destination. As described by Mathieson, economic carrying capacity is the ability to absorb tourist functions without crowding out desirable local activities. They define social carrying capacity as the degree to which the host and resident of an area become intolerant of the presence of tourists. Lindsay (1986) [ 50 ], in discussing the TECC of national parks, defined it as the physical, biological, social, and psychological capacity of the park environment to support tourism activities without degrading environmental quality or visitor satisfaction. Reilly [ 49 ], on the other hand, argued that the perceived condition of residents in tourist destinations is an important factor affecting the carrying capacity of the environment and that the psychological perception of residents directly affects the carrying capacity. In 1995, Cui [ 51 ] proposed to use the TECC instead of the tourism environmental volume and defined it as “the number of tourists that a destination can bear in a certain period of time under the premise that the current situation and structural combination of a tourist environment (i.e., tourism environmental system) do not change in a harmful way to the present and future people”. The study of TECC is conducive to promoting the implementation of environmental protection policies and promoting rapid regional economic growth. Jovic (2009) [ 52 ] argued that TECC is the maximum number of tourists that can stay in a given area without causing unacceptable and irreversible changes in the environmental, social, cultural and economic structure of the destination and without reducing the quality of the tourism experience. Zelenka and Kacetl (2014) [ 53 ] pointed out that the TECC is not only a matter of the number of visitors to a destination. Rather, it is also related to a range of other factors, including infrastructure, tourism distribution, and visitor behavior patterns, and may focus on specific dimensions in each particular geographic context. Therefore, the assessment of the TECC can also be done in many different ways and reflected in different dimensions such as physical, sociocultural, and economic development dimensions. Kisiel et al. [ 54 ] conducted an in-depth theoretical discussion and proposed that TECC should include two aspects: first, the natural environmental capacity, and second, the perceived environmental capacity, which is the ability to accommodate tourists on the basis of ensuring a good tourism experience. Milla et al. [ 55 ] determined the connotation of TECC and established the definition of TECC. It is believed that TECC should include indicators of four aspects: natural environmental carrying capacity, the spatial carrying capacity of resources, economic carrying capacity, and psychological carrying capacity. These tourism environmental carrying capacities, measured based on different dimensions, show that TECC is a complex system. The related research has shifted from discussing reasonable quantity to growth management and optimal decision-making objectives.

3.4.2. Evaluation Model Research

In the early studies of TECC, scholars mostly used descriptive and simple statistical methods. However, with the development of tourism, science and technology, these methods have become outdated. Currently, there are two types of TECC prediction: quantitative studies and qualitative studies, of which the former is the most commonly used research method. Han [ 56 ] established a linear planning model of low carbon TECC through a fuzzy linear function with “tourism scale economy” as the objective function and the constraints of resources and ecological environment factors as the constraints, studied the TECC in Shandong Peninsula and Sanya City, China. Ye et al. [ 57 ] used a state-space model to construct a TECC early warning index system from natural, economic and social aspects, explored the current situation and spatial and temporal differences of TECC early warning in 10 island cities in eastern China, and used BP (Back-Propagation), neural network model, to predict the development trend of early warning. Wang et al. [ 58 ] constructed a utility theory framework of TECC based on consumer utility theory and calculated the TECC thresholds under different environmental conditions in the park using the conditional logit model. Tokarchuka [ 35 ] used subjective well-being theory to analyze the social carrying capacity of tourism in Berlin 12 by the regression model. Wang [ 59 ] analyzed the TECC of Emei Mountain with empirical modal decomposition and BP neural network as a new method of predicting TECC by government staff and scenic area managers. Yan [ 60 ] studied the TECC in East Lake scenic area by fuzzy hierarchical analysis and set-pair analysis. Chen [ 44 ] measured the TECC at the county level in Zhoushan Islands by ecological footprint quantification. Alvara [ 38 ] studied the TECC of the Catalan coast using input-output analysis, which allows to distinguish economic flows within different spatial units, including direct, indirect and induced effects, and to quantify spillover effects, which are usually significant in the tourism industry. Gonzalez and David [ 36 , 61 ], using ANOVA, studied the TECC in the small town of Besalou, Spain, and the coral reef area of Etla, northern Red Sea. Mark T [ 62 ] compared the TECC of two resorts in Papua New Guinea and Mexico with energy analysis. Jurado E [ 63 ] created two synthetic indices (weak and strong) using the DPSIR model and the GIS-MCDA method to analyze the carrying capacity of the eastern Costa del Sol in Spain. Adamchuk [ 64 ] developed a quantitative evaluation model of the integrated carrying capacity of scenic areas based on the product matrix vector length method and obtained a favorable measure of the integrated carrying capacity of scenic areas. Cvijanovi’c et al. [ 65 ] used the theoretical speculation method and empirical measurement method to construct the measurement formulae of ecotourism environmental capacity, natural resources environmental capacity, tourism space environmental capacity, social ecotourism environmental capacity and tourists ecotourism environmental capacity. Mohanty et al. [ 66 ] analyzed the cumulative effect of tourism activities on environmental capacity and established a formula for calculating TECC using quantitative relationships of environmental factors and Pareto optimality. Kalchenko et al. [ 67 ] proposed a model for measuring the LECC with length, area and recreational facilities as limiting factors and measured the TECC through the design of the model. Meanwhile, Shia [ 68 ] also calculated the TECC of Shangri-La county in China by area method. In the process of quantification, the TECC index system is influenced by value judgments, and in the absence of specific criteria of “management objectives” or “ideal conditions”, although the study of TECC emphasizes scientificity, objectivity and accuracy, its measurement model is full of problems, the measurement model is full of subjective factors.

3.4.3. Application Research

In the empirical study of TECC-categorized destinations, it presents a shift from initially fragmented point-like to tourist routes and county-based tourist destinations, etc., from point to line and surface, and the research scope coexists with micro-scale, mesoscale and macro-scale. Scholars have explored TECC based on different theoretical perspectives, including DEPSIR [ 69 ], PSR [ 70 ] and EES [ 71 ] models. The local TECC studies include national parks [ 58 ], tourist resorts [ 62 ], lakes [ 60 ], islands [ 72 ], forests [ 73 ] and coast regions [ 63 ], etc. Scholars analyzed the TECC based on first-hand surveys and measurements and combined it with secondary data; then extended to archipelago [ 44 ], counties [ 68 , 74 ], cities [ 35 , 75 ] and specific regions [ 56 , 76 ]. The TECC measurements are mostly modeled and quantitatively analyzed using national or local statistical yearbook data and panel data. Despite the fact that there are many studies on the various types of destinations for TECC, almost all of them are self-adaptive studies based on the respective destinations, and the corresponding comparative studies are scarce. Plus, these studies are weak in extension and expansion regarding co-research, which undermines the systemic nature of TECC theme studies.

3.4.4. Management Tools and Early Warning Research

While foreign scholars call for national laws to guarantee the role of management tools, domestic scholars place more emphasis on improvement-oriented management initiatives in tourism destinations. Common management tools include the limits of acceptable change (LAC) [ 77 ], visitor experience and resource protection (VERP) [ 30 ], visitor activities management process (VAMP) [ 78 ], visitor impact management (VIM) [ 79 ], recreation opportunity spectrum (ROS) [ 80 ], and tourism optimization management model (TOMM) [ 81 ], etc.

The research on TECC early warning system is in the preliminary exploration stage, and current research mostly focuses on wetland parks [ 57 ], marine parks [ 82 ], and the carbon cycle [ 83 ], which are in a broad sense of natural resources [ 84 ]. In terms of early warning models and research methods, they basically adopt methods consistent with the carrying capacity. Some scholars have done further research by improving the existing assessment methods, but most of them stay in the early warning situation of a single method without a breakthrough. Its theoretical and methodological system is still immature. Current research is basically based on relevant statistical and econometric methods, and scholars mostly subdivide the TECC into multiple subsystems as the analysis framework, such as Huo [ 85 ] based on the large system theory divides the tourism early warning system into subsystems such as tourism alarm dynamic monitoring, tourism alarm source analysis, tourism alarm sign identification, tourism alarm degree forecast and geographic information technology assistance. Zhao [ 86 ] established a regional tourism ecological security composite early warning system consisting of a regional tourism ecological environment pressure warning subsystem, a regional tourism ecological environment quality early warning subsystem, and regional tourism ecological protection and remediation capacity early warning subsystem. The current research tries to construct some early warning index systems, but mostly from qualitative research and time interface analysis based on empirical and historical data, lacking in-depth research on the regional differences and temporal changes of TECC, which substantially reduces its early warning effectiveness and significance.

3.5. Research Review

From the current research results, the study of TECC generally presents the following characteristics: (1) The differentiation of conceptual research. The scholars have different interpretations regarding the concept of TECC and make its research content very different, including but not limited to the measurement of the natural environment, resource space, social-economic, cultural and psychological aspects, but reach a consensus on its purpose, including promoting the sustainable development of the destination and enhancing the satisfaction of tourists and residents. (2) Continuous enrichment of assessment models and deepening of research methods. Assessment models have shifted from qualitative descriptions and simple statistical methods to modeling analysis and related methods, including non-causal time series models, causal relationship models, artificial intelligence models and combination models, and quantitative measurements with BP neural networks, fuzzy hierarchical analysis, set-pair analysis, input-output analysis and area method, etc., and research results have become more objective and reasonable. (3) Gradual expansion of research scale. The initial empirical research of TECC focused on some micro-regions such as Colorado Grand Canyon National Park [ 30 ], Red Sea Coast [ 61 ], and the Alcatraz Islands [ 33 ], etc., and then expanded to larger-scale studies, including Shangri-La County [ 68 ], Shandong Peninsula City Cluster [ 56 ], the city of Berlin [ 35 ], Japan [ 87 ], and the Maldives [ 88 ]. The study of TECC shows a trend of turning point-line-surface. (4) The management tool system has been improved. Although the research on management tools and the early warning system of TECC is still in the initial stage, scholars have combined with the theory of tourism early warning system and put forward a series of management tools, including LAC, VERP, VAMP, VIM, ROS and TOMM, etc. Based on natural resources, tourists’ and residents’ satisfaction perspectives, they have established a system of “indicators” reflecting the quality of tourism experiences and resource conditions, established “standards” for minimum acceptable conditions, proposed “monitoring techniques” for timely and appropriate management tools to ensure that the state of the corresponding areas meets these standards, and developed “monitoring techniques” to ensure that the conditions of the various areas meet these standards. The management measures” to ensure that the various indicators are maintained within the specified standards have been developed.

Based on the characteristics summarized in the above discussion, this paper puts forward the following outlook for the subsequent research on TECC: (1) strengthen the growth management and optimal decision target research of TECC. TECC is a complex system, and it being measured based on different dimensions shows that natural resources, economic and social, cultural and psychological subsystems are all factors involved in TECC, and future research should focus on the dynamic evolution of TECC and can simulate and predict TECC through the neural network, machine learning and other methods to reduce the measurement model in subjective factors to achieve the goal of optimal dynamic decision-making. In addition, it is necessary to adjust according to the empirical object and carrying capacity management objectives and combine the relevant theories of sociology, psychology and economics to build a scientific and objective TECC model. Secondly, subdividing each stakeholder and conducting comparative research according to the needs of each stakeholder can be done with the help of coupling theory in order to achieve balance or maximize the comprehensive benefits of each interest subject. (2) Combined with the software of related disciplines for comprehensive analysis. TECC involves ecology, environmental science, geography and sociology and other disciplines, and the existing research only focuses on the use of a discipline of software for a single aspect of the measurement, which weakens the overall systemic TECC. Subsequent research can focus on integrated software such as Ansys Fluent, ENVI and ArcGIS for simulation prediction, forward inversion and spatial analysis to scientifically study the overall system of TECC. (3) Focus on the expansion of TECC research. Although the research on the TECC of various types of destinations is rich, the articles are almost all based on the characteristics of the destination for adaptive quantitative research. The corresponding comparative research is relatively small, and its extension and expansion are weak, weakening the systemic nature of TECC theme research. Future research should take into account the extended adaptive range of TECC while focusing on the ontological self-adaptation of case sites, which will make the research more theoretical and practically meaningful. (4) Research on succession management tools and early warning systems. In terms of time series, the existing research is increasingly inclined to find some reasonable and effective capacity management tools on the basis of a specific understanding of environmental capacity conditions so as to achieve the goal of capacity control and the development of capacity management tools has become a new hot spot for research. At the same time, on the basis of time interface analysis based on experience and historical data, deepen the research on geographical differences and time series changes of environmental carrying capacity to better realize the role and significance of management tools and early warning systems, future research can introduce neuro-tourism simulation experiments, scenic spot management simulation and tourism safety simulation experiments, etc., to strengthen the simulation for tourism places and TECC in order to realize dynamic control.

4. Discussion

4.1. overview.

In this paper, a bibliometric analysis of 297 articles retrieved from the Scopus data platform, including volume data, journal distribution, keyword co-occurrence and bursty word co-occurrence analysis, was conducted in Citespace and VOSviewer analysis tools, and the study found that.

• Before the 21st century, the topic of TECC received less attention because most tourist places were in the early initial development stage. Since entering the 21st century, with the booming tourism industry and the emergence of some negative impacts in some tourist places, the research on TECC has increased greatly, especially in the last 5 years.
• Sustainability, Wit Transactions on Ecology and The Environment, Tourism Management, Asia Pacific Journal of Tourism Research, Wit Transactions On Ecology And The Environment, Tourism Management, Asia Pacific Journal of Tourism Research and Ocean and Coastal Management are the international journals with the most articles on the topic of TECC, with 24 articles on Sustainability. In contrast, the Tourism Management journal was early to focus on the topic of TECC and has been published annually since the 1980s, although only about 1 article per year in the early years.
• Early studies on TECC mostly focused on measuring TECC in natural tourism destinations, including areas such as global geoparks, national parks, recreational wetlands and independent islands, while subsequent studies focused on elements of tourist satisfaction and residents’ perceptions, with an eye on social carrying capacity and economic carrying capacity. In 2015, with the UN Sustainable Development Summit held in New York, marine sustainability became an important topic, especially in Catalonia, Spain, where the study of environmental carrying capacity has become a recent hot topic. In addition, the European region (especially Athens) and the Asian region have been the main regions of TECC studies in the last 20 years.
• The concept of TECC originates from environmental carrying capacity, but in comparison, TECC contains various socio-economic and psychological factors, which is more complex, and a unified definition of this content has not yet been formed; the measurement methods of TECC have shifted from the initial descriptive and simple statistical methods to computers (such as BP neural networks), GIS and integrated models. However, the research on early warning and management tools of tourism carrying capacity is relatively less.
• The study of TECC generally presents four characteristics, i.e., The differentiation of conceptual research, continuous enrichment of assessment models and deepening of research methods, gradual expansion of research scale and the improvement of the management tool system.

4.2. Shortcomings of the Article

Although the study reviewed articles on TECC and used literature data from the Scopus database for the bibliometric analysis to remedy some of the shortcomings of previous studies, there are some limitations in the article, such as the study only selected journal articles and review articles for the analysis, which may ignore some important and relevant literature. In addition, in the bibliometric analysis, only English-language literature was selected for the analysis, while regions such as Provence, Brazil, and Japan, which are some recent tourism hotspots, are non-English speaking areas, which can make the analysis results somewhat limited. Plus, TECC research in Western and Central European countries, especially in France, Germany, Italy, and Poland, started earlier than in North America, but those findings were most published in their national languages and are usually ignored. Nevertheless, this study provides a systematic review of TECC studies in the Scopus database for the period 1982–2022 to provide references for subsequent empirical studies and tourism destination management practices. Future studies could include conference articles and other language sources for analysis (e.g., Spanish and French) to compensate for the limitations of the current study and pay more attention to the early studies in Western and Central European countries to better close the knowledge gap.

5. Conclusions

Based on Citespace and VOSviewer analysis software, this paper conducts a bibliometric analysis and literature review on 297 articles screened from the Scopus database on TECC, including keyword co-occurrence and bursty word co-occurrence analysis and research on concepts, applications, assessment models and management tools and early warning, followed by a review of existing research, including the divergence for conceptual research, the continuous enrichment of assessment models and the deepening of research methods, the gradual expansion of research scales and the continuous improvement of management tools, and proposes four future research directions, namely, strengthening the growth management of TECC and optimal decision-making objectives, combining software from related disciplines for comprehensive analysis, focusing on the expansion of TECC research, and continuing the research of management tools and early warning systems. Finally, the findings of the bibliometric analysis and literature review are discussed, and the limitations of the paper are pointed out as well as the directions for remediation. Notably, early TECC studies were primarily published in non-English languages in Western and Central European nations, particularly in France, Germany, Italy, and Poland, and this may have led to a knowledge gap to some extent. Future studies should find an approximate solution to this challenge, either by making comparisons or by doing research on these corresponding national languages.

Funding Statement

This research study was supported by the National Natural Science Foundation of China (NSFC) (NO. 41971171).

Author Contributions

Conceptualization, C.L. and S.L.; methodology, C.L.; software, J.C., C.L. and L.C.; validation, C.L. and S.L.; formal analysis, C.L.; investigation, S.L. and C.L.; resources, C.L. and S.L.; data curation, C.L. and S.L.; writing—original draft preparation, C.L.; writing—review and editing, C.L., S.L., J.C., J.Z. and L.C.; visualization, C.L.; supervision, S.L.; project administration, C.L. and S.L.; funding acquisition, S.L. All authors have read and agreed to the published version of the manuscript.

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Not applicable.

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study.

Data Availability Statement

Conflicts of interest.

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Resources development and tourism environmental carrying capacity of ecotourism industry in Pingdingshan City, China

• Yufeng Zhao 1 &
• Lei Jiao 1  

Ecological Processes volume  8 , Article number:  7 ( 2019 ) Cite this article

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Pingdingshan City has unique and rich ecotourism landscape. To realize the sustainable development of ecotourism industry in Pingdingshan and simultaneously achieve economic development and environmental protection in the development of ecotourism resources, literature analysis and field investigation methods were used to deeply explore the advantages and problems of Pingdingshan in the process of resources development in this study. Then, the indicator system of environmental carrying capacity of Pingdingshan was established and environmental carrying capacity was calculated to understand the local tourism environmental carrying capacity.

The development of ecotourism resources in Pingdingshan has advantages of natural conditions, convenient transportation, and sound infrastructure, but there were also problems, such as insufficient resources protection and unscientific management system. After calculation, it was found that the environmental carrying capacity of ecotourism in Pingdingshan was overloaded.

This study reveals the development of the tourism industry in Pingdingshan and provides a basis for the future development of Pingdingshan tourism resources, which is beneficial to the sustainable development of the local ecotourism industry.

Introduction

With the change of people’s travel idea, ecotourism has developed rapidly. It has received widespread attention since its appearance. The ecotourism industry in Indonesia has gained a rapid development by virtue of its good ecotourism resources, indicating that the protection of ecotourism resources can effectively promote the sustainable development of the tourism industry (Hengky 2017 ). Siswanto ( 2015 ) concluded that the ecotourism industry had created more income for local residents and business owners and brought certain economic benefits to the local community. The development of ecotourism resources could raise people’s awareness of environmental protection while increasing economic income. Pingdingshan City is located in the south-central part of Henan Province, China. The geographical position is very unique, and the ecotourism resources are quite abundant. With the development of resources, the ecotourism industry in Pingdingshan City has developed rapidly, and many problems have arisen. Evaluating the carrying capacity of the ecological environment can effectively promote the development of ecotourism (Daneshvar and Sheybani 2011 ). Shi et al. ( 2015 ) calculated the carrying capacity of ecotourism in Shang-La County and found that the reasonable development of natural resources in Shang-La effectively promoted the long-term development of its ecotourism. Many resource-based cities have developed rapidly by virtue of abundant natural resources, but they also face problems of over-exploitation and resource exhaustion. As a resource-based city, ecotourism industry of Pingdingshan has developed rapidly, and its state of resource development needs to be paid attention to. However, the current research on tourism resources development and environmental carrying capacity of Pingdingshan has not been quite sufficient.

Based on the research on resource development of Pingdingshan City, this study established the evaluation system of ecotourism environmental carrying capacity of Pingdingshan and carried out corresponding evaluation to promote the sound and rapid development of ecotourism resources in Pingdingshan.

Development status of tourism resources in Pingdingshan City

Pingdingshan has been listed as a resource-based city by virtue of its rich and diversified natural resources. In addition to coal, steel, and other natural resources, Pingdingshan also has abundant tourism resources. Pingdingshan has superior geographical position and unique natural conditions. Its tourism resources are characterized by diverse contents, unique scenery, and concentrated resources. In recent years, the ecotourism industry of Pingdingshan has developed rapidly. The construction of scenic spots has almost covered all the important tourism resources of the Pingdingshan. The tourism resources are protected to drive the economic development in the process of development (Nuzula et al. 2017 ). However, the development of ecotourism resources in Pingdingshan also exists many problems. First of all, the destruction of ecotourism resources occurs frequently due to insufficient resources protection. Then, many management systems in the ecotourism industry are unscientific, resulting in the waste and inefficient use of many resources in the tourism industry, which cannot guarantee the sustainable development of tourism resources. In addition, the development and utilization of ecotourism resources in Pingdingshan is low. The lack of infrastructure is an important factor affecting the protection of tourism resources and low level of development and utilization, which is not conducive to the long-term development of tourist attractions.

Calculation method of tourism environmental carrying capacity

The ecotourism environmental carrying capacity refers to the acceptable number of tourists that can be accepted in a certain area, which can not only meet the needs of tourists and benefit the tourism industry, but also protect the environment and reduce the impact. In this study, the indicator system of environmental carrying capacity was constructed, and the calculation was made on that basis.

The system of ecotourism environmental carrying capacity consists of four parts: resource environmental carrying capacity, ecology environmental carrying capacity, psychology environmental carrying capacity, and tourism environmental carrying capacity. The value of ecotourism environmental carrying capacity is not the sum of the parts, but the minimum value of each part.

Resource environmental carrying capacity (RECC) refers to the number of tourists that can be reached in a region on the premise of realizing the time requirements of tourists, which is a major manifestation of environmental protection (Ye et al. 2016 ). Its expression is:

RECC = (daily turnover rate × total resource space)/per capita basic space standard

Further calculations are based on the per capita area of the tourist area:

where S stands for tourist area (m 2 ), T stands for opening hours (h), s stands for per capita area occupied by tourists (m 2 ), and t stands for time required for a visitor to visit (h).

Ecology environmental carrying capacity (EECC) is the amount of tourism that a tourist area can bear without affecting the environment, which is expressed by the number of tourists. Its expression is:

where WECC stands for water environmental carrying capacity, WECC = daily sewage treatment level/daily sewage production per person, AECC stands for air environmental carrying capacity, \( \mathrm{AECC}=\frac{S\times f}{s} \) , where S stands for tourist area (m 2 ), f stands for forest coverage ratio (%), s stands for per capita green areas (m 2 /person), and SWCC stands for solid waste carrying capacity, SWCC = total amount of daily disposed solid waste/per capita daily.

Selection criteria of indicators are different for tourist areas of different kinds or with different properties (Shen et al. 2017 ). According to the actual situation, water environmental capacity was regarded as the main aspect (Xu and Yan 2016 ).

Psychology environmental carrying capacity (PECC) includes the psychological capacity of residents and the psychological capacity of tourists in tourist areas (Zhang 2014 ). The psychological capacity of residents refers to the maximum number of tourists that residents of tourist areas can bear psychologically. The psychological carrying capacity of tourists refers to the maximum crowding condition that tourists can accept in the process of traveling. The result can be obtained through a questionnaire survey.

Tourism environmental carrying capacity (TECC) refers to the maximum number of tourists that the basic service facilities in the tourism area can afford (Zelenka and Kacetl 2014 ). Its expression is:

where TECC i stands for economic burden part of supply amount i , \( {\mathrm{TECC}}_i=\frac{S_i}{D_i} \) , S i stands for daily supply amount of i (amount/day), and D i stands for the per capita demand of i (amount/person/day).

In conclusion, the calculation formula of ecotourism environmental carrying capacity is:

Calculation of tourism environmental carrying capacity of Pingdingshan City

Firstly, RECC of Pingdingshan City was calculated. After checking the relevant literature, it was found that the effective tourist area of Pingdingshan City is about 972 km 2 , the open time is 12 h, the per capita occupied area was 5 m 2 , and the time needed for visit is 12 h. According to Eq. ( 1 ), we have:

Then, EECC of Pingdingshan City was calculated. Taking water environmental carrying capacity (WECC) as an example, WECC = daily treatment level of sewage/daily output of sewage = 3,360,000/60 = 56,000.

Through checking the relevant literature and investigation, it was found that the psychology environmental carrying capacity of citizens was 90,000 person/day, the psychology environmental carrying capacity of tourists was 70,000 person/day, and the average value was 80,000 person/day.

The calculation of economy environmental bearing capacity was represented by traffic and accommodation:

The results of ecotourism environmental carrying capacity of Pingdingshan City were obtained, as shown in Table  1 .

According to the minimum principle, the ecotourism environmental carrying capacity of Pingdingshan City was 20.44 million people each year, which was obtained by ecology environmental carrying capacity. It was found that ecology environmental carrying capacity could represent the ecotourism environmental carrying capacity, which was the most important and basic part in the indicator system. According to relevant reports, the number of tourists in Pingdingshan City has reached 20.96 million in 2016; hence, the ecotourism environment of Pingdingshan City was slightly overloaded.

In addition, the evaluation indicators of each carrying capacity module were further processed and analyzed, and 40 evaluation units were classified.

And then, nine evaluation factors were selected based on the data to establish the model, and evaluation indicators of two types were analyzed by using Statistical Product and Service Solutions (SPSS). The results are as follows.

The clustering and standardization results of resource environmental carrying capacity indicators in each scenic spot are shown in Fig.  1 . In classification 1, the annual precipitation, river area ratio, and > 0 °C accumulated temperature were all negative values, indicating that the natural conditions of this type of scenic spot had natural advantages, and the corresponding resource environmental carrying capacity was high. In classification 2, the resource environmental carrying capacity was restricted by the river area, which was significantly different from the other four types of scenic spots, but it was also high. In classification 3, the resource environmental carrying capacity was restricted by the accumulated temperature. In classification 4 and 5, only the proportion of vegetation area was negative and the others were positive, indicating that the resource environmental carrying capacity of these two types of regions was low (Table  2 ).

Standard value of resource environmental carrying capacity clustering results

The clustering and standardization results of psychology environmental carrying capacity indicators in each scenic spot are shown in Fig.  2 . In classification 1 and 2, the number of service industry units, domestic highway mileage, and settled ratio were all negative, indicating that the psychology environmental carrying capacity was very high. Pingdingshan City has a dense expressway network and 400-km-long railway, and there are three airports around. Convenient transportation is one of the great advantages of developing tourism in Pingdingshan City. The standardized values of classification 3 and 4 were both relatively small, and the psychology environmental carrying capacity of them was smaller than that of classification 5. Moreover, the two kinds of areas could be planned together because of the similar values of the relevant indicators. The indicators in classification 5 were relatively large, indicating that the psychology environmental carrying capacity was low, and it was likely to be restricted by ecological resettlement.

Standard value of psychology environmental carrying capacity clustering results

Discussion and conclusion

The development of resource-based cities is based on resources. The excessive exploitation of resources will lead the development of cities to decline gradually. In order to guide the scientific development of tourism industry in Pingdingshan City, the local government should attach great importance to the development of local tourism industry and provide relatively sufficient funds for the construction of scenic spots. Convenient transportation and relatively sufficient supply of water and electric are both the development advantages of ecotourism industry in Pingdingshan City, but the resident level of tourists are far from being up to the required standards. In addition, due to the late and rapid development of some scenic spots in Pingdingshan City and under the effects of local conditions, the environmental pollution of tourist attractions is prominent. The relevant infrastructure of the scenic spots is generally backward, which directly increases the pollution of scenic spots. With the rapid growth of industrial and domestic pollutants and the backwardness of treatment facilities in Pingdingshan City, environmental pollution will gradually be serious and the remaining environmental capacity will be smaller and smaller (Solís et al. 2014 ). The solid waste of scenic areas in Pingdingshan City will be uniformly transported to the outside of the scenic spot for unified treatment, so the solid waste carrying capacity was relatively large. Therefore, it is necessary to focus on solving these two problems, rationally allocate tourism resources, and promote the long-term development of the ecotourism industry. The ecotourism industry in Pingdingshan City is developing rapidly. In order to achieve better and long-term tourism development, it is necessary to strengthen the protection of resources and improve the scientific management of the system to solve problems existing in the development. Due to the large scenic area of Pingdingshan City, the rich types of ecotourism resources, and different opening degree of each scenic spot, there exist some uncertainties in the ecological carrying capacity of scenic areas in Pingdingshan City. According to the calculation results, the resource environmental carrying capacity, tourism environmental carrying capacity, and psychology environmental carrying capacity have not reached the limit, and more tourists can be accepted, but the ecology environmental carrying capacity has been seriously overloaded, resulting in overall overload. Therefore, the key to the development of tourism industry in Pingdingshan City is to improve the ecology environmental carrying capacity (Cheng et al. 2016 ).

Under the premise of adhering to the necessary principles, the development of tourism industry in Pingdingshan needs to take corresponding measures for the existing problems. By establishing an indicator system of ecotourism environmental carrying capacity with four levels and nine evaluation factors, this study analyzed from four aspects and found that the ecology environmental carrying capacity of Pingdingshan City has seriously affected the development of the tourism industry and positive measures need to be taken to improve it. The study results provide a basis for the development of tourism industry resources, which is conducive to the sustainable development of resource-based cities and has reference values for the further development of the tourism industry in Pingdingshan City.

Cheng J, Zhou K, Chen D, Fan J (2016) Evaluation and analysis of provincial differences in resources and environment carrying capacity in China. Chin Geogr Sci 26(4):539–549.

Article   Google Scholar  

Daneshvar MRM, Sheybani S (2011) GIS based evaluation of ecotourism zonation using ecological carrying capacity model (Study area: Kalat county, north of Khorasan–e–Razavi province) (In Persian). International Conference on Tourism Management and Sustainable Development, Marvdasht, pp 1–17.

Google Scholar  

Hengky SH (2017) Probing coastal eco-tourism in Pasir Putih Beach, Indonesia. Bus Manag Horiz 5(1):1–11.

Nuzula NI, Armono HD, Rosyid DM (2017) Management of Baluran National Park resources for coastal ecotourism based on suitability and carrying capacity. Appl Mech Mater 862:161–167.

Shen SY, Niu EX, Meng B (2017) Evaluation of ecological environment carrying capacity in coastal waters of Liaoning based on Grey relation. J Dalian Maritime Univ 43(3):112–118.

Shi LY, Zhao HB, Li YL, Ma H, Yang SC, Wang HW (2015) Evaluation of Shangri-La County’s tourism resources and ecotourism carrying capacity. Int J Sust Dev World 2(2):103–109.

Siswanto A (2015) Eco-tourism development strategy Balurannational Park in the regency of Situbondo, East Java, Indonesia. Int J Eval Res Educ 4(4):185.

Solís D, Corral JD, Perruso L, Agar JJ (2014) Evaluating the impact of individual fishing quotas (IFQs) on the technical efficiency and composition of the US Gulf of Mexico red snapper commercial fishing fleet. Food Policy 46(6):74–83.

Xu ZL, Yan W (2016) Carrying capacity of water environment in public tourism resources based on matter-element model. Ecol Econ 3:296–300.

Ye W, Xu X, Wang H, Wang H, Yang H, Yang Z (2016) Quantitative assessment of resources and environmental carrying capacity in the northwest temperate continental climate ecotope of China. Environ Earth Sci 75(10):868.

Zelenka J, Kacetl J (2014) The concept of carrying capacity in tourism. Amfiteatru Econ 16(36):641–654.

Zhang B (2014) A research on residents’ social-psychological carrying capacity of tourism destinations: a case study on Asakusa area, Tokyo, Japan. Tour Tribune 29(12):55–65.

CAS   Google Scholar  

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YFZ analyzed the low-carbon tourism mode, looked up the advantages of developing low-carbon tourism in natural conditions and tourism resources in Guizhou, estimated the carbon emissions of Guizhou tourism industry in 2011–2015, discussed and analyzed the results together with LJ, and drafted the article. LJ assisted YFZ to collect the data needed for estimating the carbon emissions of Guizhou tourism industry from 2011 to 2015 and calculate and analyze them. He put forward the main problems existing in the development of low-carbon tourism; put forward corresponding suggestions from the perspectives of government, tourism enterprises, and tourists; and perfected the article. Both authors read and approved the final manuscript.

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Zhao, Y., Jiao, L. Resources development and tourism environmental carrying capacity of ecotourism industry in Pingdingshan City, China. Ecol Process 8 , 7 (2019). https://doi.org/10.1186/s13717-019-0161-0

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This chapter introduces the connotation of tourism environmental bearing capacity, analyzes the relationship between the coordinated development of tourism economy and ecological environment resources protection, introduces the calculation modes and evaluation indexes of the tourism environmental carrying capacity in the aspects of ecological environment carrying capacity, tourism resources carrying capacity, and the carrying capacity of tourist facilities, calculates the thresholds of carrying capacity, and provides the early-warning data for the ecological tourism system.

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Xin-xiang, C.: A study on ecological security alarm assessment of tourism destination. Environ. Manage. 31 (3), 30–43 (2006)

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Yunpin, Y.: Research on tourist environment bearing capacity assessment and ecological security warning system of scenic spots in Tibet. J. Chongqing Univ. 92–98 (2012)

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Acknowledgments

Thanks to International Science & Technology Cooperation Program of China (2012DFA11270) and Hainan International Cooperation Key Project (GJXM201105). And this work is also supported by Hainan Social Development of Science and Technology Projects (SF201329), National Natural Science Foundation of Hainan (No. 612124), and Major Scientific Projects of Haikou (No. 2012-028).

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Zhang, Xh., Lin, M., Lin, S. (2014). The Method of Tourism Environmental Carrying Capacity. In: Cao, BY., Ma, SQ., Cao, Hh. (eds) Ecosystem Assessment and Fuzzy Systems Management. Advances in Intelligent Systems and Computing, vol 254. Springer, Cham. https://doi.org/10.1007/978-3-319-03449-2_10

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2 Faculty of Marine Science and Fisheries, Bogor Agricultural University

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As sustainability has become an important policy issue in small island tourism, there is need to understand the natural limits. These used to know how much small island with their limitation could accommodate tourism needs. Based on that fact, this research aimed to: 1) quantify the environmental carrying capacity for several type of ecotourism in Sapeken archipelago; 2) assessing Sapeken archipelago ability to accommodate ecotourism activities using ecological footprint based from emergy approach; and 3) evaluate sustainability ecotourism activities in Sapeken archipelago. Result showed: 1) Sapeken archipelago have different carrying capacity for each type of ecotourism. For dive tourism 5,330 persons/day, snorkelling 3,590 persons/day, fishing tourism 14,900 persons/day, mangrove tourism 32,100 persons/day and beach tourism 1,990 persons/day; 2) The largest accommodate for tourism are Paliat island (844,000 persons/year) Sepanjang island (217,000 persons/year) and smallest in Sapeken island (50.5 persons/year); and 3) Ecotourism activities in Sapeken archipelago has sustainability (RCC > EF) which indicated by carrying capacity as natural limit is greater than EF as a representation number of tourist can be met.

Keywords: Sapeken archipelago, Carrying capacity, Ecological footprint, Sustainability, Ecotourism

Cite this paper: Agus Romadhon, Fredinan Yulianda, Dietriech Bengen, Luky Adrianto, Sustainable Tourism Based on Carrying Capacity and Ecological Footprint at Sapeken Archipelago, Indonesia, International Journal of Ecosystem , Vol. 4 No. 4, 2014, pp. 190-196. doi: 10.5923/j.ije.20140404.05.

Article Outline

1. introduction, 2. methodology, 2.1. utilization carrying capacity (ucc), 2.2. the ability of sapeken archipelago ecotourism activities, 2.3. sustainability of ecotourism activity, 3. results and discussion, 3.1. ucc of sapeken archipelago for ecotourism activities, 3.2. regional capacity of sapeken archipelago for ecotourism, 3.3. sustainability of ecotourism activities in sapeken archipelago, 4. conclusions, acknowledgements.