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description Publicationkeyboard_double_arrow_right Article 2023Publisher:MDPI AG Authors: Yuchen Du; Junfeng Chen; Yi Xie;doi: 10.3390/su15065033
The human–elephant conflict is a current issue that receives global attention and occurs in all elephant-distribution countries. This paper focuses on Pu′er and Xishuangbanna cities in the distribution area of Asian elephants in Yunnan Province. Based on two case studies, we collect basic information from local farmers regarding the severity of the damage caused by Asian elephants and the impact this has on their psychology. Based on the Logit model and modulation effect, we analyze the impact farmers’ livelihood capital on how they choose livelihood strategies in the distribution area and whether damage caused by Asian elephants and general conflict conditions can regulate this impact. The results show that the damage caused by Asian elephants and general conflict conditions is serious in the distribution area, but the number of farmers who choose to change their livelihood strategies is small. The damage caused by Asian elephants has a different modulation effect on farmers’ livelihood capital. In the future, we should be more considerate of the livelihood capital accumulation of local farmers in the process of protecting Asian elephants, with a view towards maintaining and improving the livelihoods of farmers.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/su15065033&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 4 citations 4 popularity Top 10% influence Average impulse Average Powered by BIP!
more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/su15065033&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal , Other literature type 2021Publisher:MDPI AG Authors: Lichun Mo; Jiancheng Chen; Yi Xie;doi: 10.3390/su132313294
Badaling is the main tourism area in Beijing. The development of tourism has generated considerable economic benefit in this region, but the tourism industry also brought considerable environmental pressure. To obtain a targeted upgrade plan for metropolitan tourism industry, static and dynamic analysis methods were used to quantitatively estimate the structure of the tourism industry in this region. In addition, the ecological footprint and ecosystem capacity models were used to evaluate the sustainable development of tourism. The results show that: (1) The structure of tourism in Badaling is better than that of Beijing, but the growth rate of tourism earnings is slower than the average value in Beijing. Overall, the region lacks competitiveness and the tourism industry in the area is in dire need of an upgrade; (2) the total ecological footprint due to tourism in the Badaling region is 381,098.28 hm2, and the ecosystem capacity is 4509.61 hm2. It is in an obvious ecological deficit, and the development of the tourism industry is unsustainable. To relieve the pressure on the ecology in the Badaling region, we propose four policy suggestions: (1) develop disadvantaged sectors and enhance tourism industry competitiveness, (2) boost tourist transportation revenues relying on the Winter Olympic Games, (3) grow cultural and creative products and expand sales channels, and (4) strengthen inter-regional cooperation and alleviate local ecological pressure.
Sustainability arrow_drop_down SustainabilityOther literature type . 2021License: CC BYData sources: Multidisciplinary Digital Publishing Instituteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/su132313294&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 7 citations 7 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert Sustainability arrow_drop_down SustainabilityOther literature type . 2021License: CC BYData sources: Multidisciplinary Digital Publishing Instituteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/su132313294&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2023Publisher:MDPI AG Jinxiong Ji; Kaibin Zhuo; Yuxin Zeng; Jinglin Su; Yi Xie;doi: 10.3390/su152215811
This study constructs a research framework to examine the decision-making process of tea farmers’ green production behavior based on the improved theory of planned behavior, incorporating external environmental factors such as government regulation, market mechanisms, industrial organization-driven environmental factors, and community governance. A structural equation model was employed to empirically analyze the influence paths and underlying mechanisms of multi-subjective governance on tea farmers’ green production behavior using survey data from 872 tea farmers in the main tea-producing areas of Fujian Province. The results showed that (1) government regulation, market mechanisms, and community governance significantly and directly impact the decision-making of tea farmers’ green production behavior, with path coefficients of 0.676, 0.686, and 0.373, respectively, and market mechanisms also indirectly act on green production behavior through perceptual behavioral control, with a path coefficient of 0.459. (2) The market mechanisms had the greatest influence on the decision-making of tea farmers’ green production behavior (total utility of 0.830), followed by government regulation (total utility of 0.676), community governance (total utility of 0.373), and finally, industrial organization-driven factors (total utility of 0.046), indicating that the market organization and the government departments are the most important external environmental forces affecting the decision-making of tea farmers’ green production behavior. The results provide valuable references for achieving effective multi-subjective governance and guiding/regulating tea farmers’ green production behavior. While strengthening the incentives and constraints of government regulations on tea farmers’ green production behavior, it is important to fully leverage the roles of market mechanisms, industrial organization-driven factors, and community governance in the governance of tea farmers’ green production behavior.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/su152215811&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 2 citations 2 popularity Average influence Average impulse Average Powered by BIP!
more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/su152215811&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal , Other literature type 2019Publisher:MDPI AG Authors: Marin Kim; Yi Xie; Giuseppe T. Cirella;doi: 10.3390/su11184977
Ecotourism has a high potential impact on remote communities, by improving economic opportunity and natural resources conservation, and is increasingly accepted as an alternative livelihood for rural people. This study examines ecotourism development from the perspective of participation and economic impact for the Bousra people in Cambodia. A total of 237 households were selected as the sample size. Data collection was carried out with face-to-face interviews and analyzed using logistic regression and ordinary least square methods. Results revealed that local households depend mostly on agriculture (i.e., crop plantation and farming) and utilize ecotourism as a secondary source of income. Most households acknowledged ecotourism had a positive impact on environmental, social, and economic perspectives, while some signaled negative backlash due to depleted natural resources and impact on local culture. Household participation in ecotourism was not significantly affected from assistance issued by government or non-governmental organizations. However, causal relationships were found based on household demographic factors, attitude to environmental conservation, and village life. It was shown that the percentage of people involvement in ecotourism is high, but their income percentage is low due to education, skill, and capacity to expand. As a low-impact alternative to standard commercial tourism, community-based ecotourism has potential in becoming a transformative form of economics for local communities.
Sustainability arrow_drop_down SustainabilityOther literature type . 2019License: CC BYFull-Text: http://www.mdpi.com/2071-1050/11/18/4977/pdfData sources: Multidisciplinary Digital Publishing Instituteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/su11184977&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 40 citations 40 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
more_vert Sustainability arrow_drop_down SustainabilityOther literature type . 2019License: CC BYFull-Text: http://www.mdpi.com/2071-1050/11/18/4977/pdfData sources: Multidisciplinary Digital Publishing Instituteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/su11184977&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Other literature type 2022Publisher:OpenAlex Yanjun Su; Qinghua Guo; Hongcan Guan; Tianyu Hu; Shichao Jin; Zhiheng Wang; Lingli Liu; Lin Jiang; Ke Guo; Zongqiang Xie; An Shazhou; Xuelin Chen; Zhanqing Hao; Yaoguang Hu; Yongmei Huang; Mingxi Jiang; Jiaxiang Li; Zhenji Li; Xiankun Li; Xiaowei Li; Cunzhu Liang; Liu Renlin; Qing Liu; Hongwei Ni; Peng Shaolin; Zehao Shen; Zhiyao Tang; Xingjun Tian; Xihua Wang; Renqing Wang; Yi Xie; Xiaoniu Xu; Xiong‐Li Yang; Yongchuan Yang; Lifei Yu; Ming Yue; Feng Zhang; Jun Chen; Keping Ma;La complejidad de la comunidad de vegetación es un factor crítico que influye en la estabilidad del ecosistema terrestre. China, el país que lidera el mundo en el reverdecimiento de la vegetación como resultado de las actividades humanas, ha experimentado cambios dramáticos en la composición de la comunidad de vegetación durante los últimos 30 años. Sin embargo, la forma en que la complejidad de la comunidad de vegetación de China varía espacial y temporalmente sigue sin estar clara. Aquí, proporcionamos los conjuntos de datos y códigos utilizados para investigar este tema, según lo publicado en "Human-climate coupled changes in vegetation community complexity of China since 1980s" por Su et al. La complexité de la communauté végétale est un facteur critique influençant la stabilité de l'écosystème terrestre. La Chine, le pays leader mondial en matière de verdissement de la végétation résultant des activités humaines, a connu des changements spectaculaires dans la composition des communautés végétales au cours des 30 dernières années. Cependant, la façon dont la complexité de la communauté végétale chinoise varie spatialement et temporellement reste incertaine. Ici, nous avons fourni les ensembles de données et les codes utilisés pour étudier cette question, tels que publiés dans « Human-climate coupled changes in vegetation community complexity of China since 1980s » par Su et al. Vegetation community complexity is a critical factor influencing terrestrial ecosystem stability. China, the country leading the world in vegetation greening resulting from human activities, has experienced dramatic changes in vegetation community composition during the past 30 years. However, how China's vegetation community complexity varies spatially and temporally remains unclear. Here, we provided the datasets and codes used to investigate this issue, as published in "Human-climate coupled changes in vegetation community complexity of China since 1980s" by Su et al. يعد تعقيد مجتمع الغطاء النباتي عاملاً حاسمًا يؤثر على استقرار النظام البيئي الأرضي. شهدت الصين، الدولة الرائدة في العالم في تخضير الغطاء النباتي الناتج عن الأنشطة البشرية، تغييرات جذرية في تكوين مجتمع الغطاء النباتي خلال الثلاثين عامًا الماضية. ومع ذلك، لا يزال من غير الواضح كيف يختلف تعقيد مجتمع الغطاء النباتي في الصين مكانيًا وزمنيًا. قدمنا هنا مجموعات البيانات والرموز المستخدمة للتحقيق في هذه المشكلة، كما نُشرت في "التغيرات المقترنة بالمناخ البشري في تعقيد مجتمع الغطاء النباتي في الصين منذ الثمانينيات" من قبل سو وآخرون.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.60692/pnbya-k0c62&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!
more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.60692/pnbya-k0c62&type=result"></script>'); --> </script>
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description Publicationkeyboard_double_arrow_right Article 2023Publisher:MDPI AG Authors: Yuchen Du; Junfeng Chen; Yi Xie;doi: 10.3390/su15065033
The human–elephant conflict is a current issue that receives global attention and occurs in all elephant-distribution countries. This paper focuses on Pu′er and Xishuangbanna cities in the distribution area of Asian elephants in Yunnan Province. Based on two case studies, we collect basic information from local farmers regarding the severity of the damage caused by Asian elephants and the impact this has on their psychology. Based on the Logit model and modulation effect, we analyze the impact farmers’ livelihood capital on how they choose livelihood strategies in the distribution area and whether damage caused by Asian elephants and general conflict conditions can regulate this impact. The results show that the damage caused by Asian elephants and general conflict conditions is serious in the distribution area, but the number of farmers who choose to change their livelihood strategies is small. The damage caused by Asian elephants has a different modulation effect on farmers’ livelihood capital. In the future, we should be more considerate of the livelihood capital accumulation of local farmers in the process of protecting Asian elephants, with a view towards maintaining and improving the livelihoods of farmers.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/su15065033&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 4 citations 4 popularity Top 10% influence Average impulse Average Powered by BIP!
more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/su15065033&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal , Other literature type 2021Publisher:MDPI AG Authors: Lichun Mo; Jiancheng Chen; Yi Xie;doi: 10.3390/su132313294
Badaling is the main tourism area in Beijing. The development of tourism has generated considerable economic benefit in this region, but the tourism industry also brought considerable environmental pressure. To obtain a targeted upgrade plan for metropolitan tourism industry, static and dynamic analysis methods were used to quantitatively estimate the structure of the tourism industry in this region. In addition, the ecological footprint and ecosystem capacity models were used to evaluate the sustainable development of tourism. The results show that: (1) The structure of tourism in Badaling is better than that of Beijing, but the growth rate of tourism earnings is slower than the average value in Beijing. Overall, the region lacks competitiveness and the tourism industry in the area is in dire need of an upgrade; (2) the total ecological footprint due to tourism in the Badaling region is 381,098.28 hm2, and the ecosystem capacity is 4509.61 hm2. It is in an obvious ecological deficit, and the development of the tourism industry is unsustainable. To relieve the pressure on the ecology in the Badaling region, we propose four policy suggestions: (1) develop disadvantaged sectors and enhance tourism industry competitiveness, (2) boost tourist transportation revenues relying on the Winter Olympic Games, (3) grow cultural and creative products and expand sales channels, and (4) strengthen inter-regional cooperation and alleviate local ecological pressure.
Sustainability arrow_drop_down SustainabilityOther literature type . 2021License: CC BYData sources: Multidisciplinary Digital Publishing Instituteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/su132313294&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 7 citations 7 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert Sustainability arrow_drop_down SustainabilityOther literature type . 2021License: CC BYData sources: Multidisciplinary Digital Publishing Instituteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/su132313294&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2023Publisher:MDPI AG Jinxiong Ji; Kaibin Zhuo; Yuxin Zeng; Jinglin Su; Yi Xie;doi: 10.3390/su152215811
This study constructs a research framework to examine the decision-making process of tea farmers’ green production behavior based on the improved theory of planned behavior, incorporating external environmental factors such as government regulation, market mechanisms, industrial organization-driven environmental factors, and community governance. A structural equation model was employed to empirically analyze the influence paths and underlying mechanisms of multi-subjective governance on tea farmers’ green production behavior using survey data from 872 tea farmers in the main tea-producing areas of Fujian Province. The results showed that (1) government regulation, market mechanisms, and community governance significantly and directly impact the decision-making of tea farmers’ green production behavior, with path coefficients of 0.676, 0.686, and 0.373, respectively, and market mechanisms also indirectly act on green production behavior through perceptual behavioral control, with a path coefficient of 0.459. (2) The market mechanisms had the greatest influence on the decision-making of tea farmers’ green production behavior (total utility of 0.830), followed by government regulation (total utility of 0.676), community governance (total utility of 0.373), and finally, industrial organization-driven factors (total utility of 0.046), indicating that the market organization and the government departments are the most important external environmental forces affecting the decision-making of tea farmers’ green production behavior. The results provide valuable references for achieving effective multi-subjective governance and guiding/regulating tea farmers’ green production behavior. While strengthening the incentives and constraints of government regulations on tea farmers’ green production behavior, it is important to fully leverage the roles of market mechanisms, industrial organization-driven factors, and community governance in the governance of tea farmers’ green production behavior.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/su152215811&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 2 citations 2 popularity Average influence Average impulse Average Powered by BIP!
more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/su152215811&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal , Other literature type 2019Publisher:MDPI AG Authors: Marin Kim; Yi Xie; Giuseppe T. Cirella;doi: 10.3390/su11184977
Ecotourism has a high potential impact on remote communities, by improving economic opportunity and natural resources conservation, and is increasingly accepted as an alternative livelihood for rural people. This study examines ecotourism development from the perspective of participation and economic impact for the Bousra people in Cambodia. A total of 237 households were selected as the sample size. Data collection was carried out with face-to-face interviews and analyzed using logistic regression and ordinary least square methods. Results revealed that local households depend mostly on agriculture (i.e., crop plantation and farming) and utilize ecotourism as a secondary source of income. Most households acknowledged ecotourism had a positive impact on environmental, social, and economic perspectives, while some signaled negative backlash due to depleted natural resources and impact on local culture. Household participation in ecotourism was not significantly affected from assistance issued by government or non-governmental organizations. However, causal relationships were found based on household demographic factors, attitude to environmental conservation, and village life. It was shown that the percentage of people involvement in ecotourism is high, but their income percentage is low due to education, skill, and capacity to expand. As a low-impact alternative to standard commercial tourism, community-based ecotourism has potential in becoming a transformative form of economics for local communities.
Sustainability arrow_drop_down SustainabilityOther literature type . 2019License: CC BYFull-Text: http://www.mdpi.com/2071-1050/11/18/4977/pdfData sources: Multidisciplinary Digital Publishing Instituteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/su11184977&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 40 citations 40 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
more_vert Sustainability arrow_drop_down SustainabilityOther literature type . 2019License: CC BYFull-Text: http://www.mdpi.com/2071-1050/11/18/4977/pdfData sources: Multidisciplinary Digital Publishing Instituteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Other literature type 2022Publisher:OpenAlex Yanjun Su; Qinghua Guo; Hongcan Guan; Tianyu Hu; Shichao Jin; Zhiheng Wang; Lingli Liu; Lin Jiang; Ke Guo; Zongqiang Xie; An Shazhou; Xuelin Chen; Zhanqing Hao; Yaoguang Hu; Yongmei Huang; Mingxi Jiang; Jiaxiang Li; Zhenji Li; Xiankun Li; Xiaowei Li; Cunzhu Liang; Liu Renlin; Qing Liu; Hongwei Ni; Peng Shaolin; Zehao Shen; Zhiyao Tang; Xingjun Tian; Xihua Wang; Renqing Wang; Yi Xie; Xiaoniu Xu; Xiong‐Li Yang; Yongchuan Yang; Lifei Yu; Ming Yue; Feng Zhang; Jun Chen; Keping Ma;La complejidad de la comunidad de vegetación es un factor crítico que influye en la estabilidad del ecosistema terrestre. China, el país que lidera el mundo en el reverdecimiento de la vegetación como resultado de las actividades humanas, ha experimentado cambios dramáticos en la composición de la comunidad de vegetación durante los últimos 30 años. Sin embargo, la forma en que la complejidad de la comunidad de vegetación de China varía espacial y temporalmente sigue sin estar clara. Aquí, proporcionamos los conjuntos de datos y códigos utilizados para investigar este tema, según lo publicado en "Human-climate coupled changes in vegetation community complexity of China since 1980s" por Su et al. La complexité de la communauté végétale est un facteur critique influençant la stabilité de l'écosystème terrestre. La Chine, le pays leader mondial en matière de verdissement de la végétation résultant des activités humaines, a connu des changements spectaculaires dans la composition des communautés végétales au cours des 30 dernières années. Cependant, la façon dont la complexité de la communauté végétale chinoise varie spatialement et temporellement reste incertaine. Ici, nous avons fourni les ensembles de données et les codes utilisés pour étudier cette question, tels que publiés dans « Human-climate coupled changes in vegetation community complexity of China since 1980s » par Su et al. Vegetation community complexity is a critical factor influencing terrestrial ecosystem stability. China, the country leading the world in vegetation greening resulting from human activities, has experienced dramatic changes in vegetation community composition during the past 30 years. However, how China's vegetation community complexity varies spatially and temporally remains unclear. Here, we provided the datasets and codes used to investigate this issue, as published in "Human-climate coupled changes in vegetation community complexity of China since 1980s" by Su et al. يعد تعقيد مجتمع الغطاء النباتي عاملاً حاسمًا يؤثر على استقرار النظام البيئي الأرضي. شهدت الصين، الدولة الرائدة في العالم في تخضير الغطاء النباتي الناتج عن الأنشطة البشرية، تغييرات جذرية في تكوين مجتمع الغطاء النباتي خلال الثلاثين عامًا الماضية. ومع ذلك، لا يزال من غير الواضح كيف يختلف تعقيد مجتمع الغطاء النباتي في الصين مكانيًا وزمنيًا. قدمنا هنا مجموعات البيانات والرموز المستخدمة للتحقيق في هذه المشكلة، كما نُشرت في "التغيرات المقترنة بالمناخ البشري في تعقيد مجتمع الغطاء النباتي في الصين منذ الثمانينيات" من قبل سو وآخرون.
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You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.60692/pnbya-k0c62&type=result"></script>'); --> </script>
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