The Dynamic Coordinated Development of a Regional Environment-Tourism-Economy System: A Case Study  from Western Hunan Province, China

Yaoqing, Yuan; Jin, Maozhu; Ren, Jinfei; Hu, Mingming; Ren, Peiyu

doi:10.3390/su6085231

Cited by 48 publications

(36 citation statements)

References 12 publications

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“…From the time series data, disasters had been relatively well‐distributed in Yunnan, for both earthquakes (on average about 1,500 times a year, with the exception of 2014) and floods; earthquake magnitudes and disaster losses were also relatively regular and stable (Figures and ). The populations of foreign travelers could reflect this (Figure ), because travel is the response to domestic economic development and the ecological environment situation, which are very sensitive to natural disasters (Banday & Ismail, , Yuan, Jin, Ren, Hu, & Ren, ). Both the foreign traveler numbers and income from tourism have shown increasing trends since 2000 in Sichuan and Yunnan.…”

Section: Discussionmentioning

confidence: 99%

Focus on economy or ecology? A three‐dimensional trade‐off based on ecological carrying capacity in southwest China

Deng

Hao

et al. 2018

Natural Resource Modeling

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Economic growth and human activities challenge the regional harmony of the economy and environment. Based on an evaluation of ecological carrying capacity (ECC), we have constructed a three‐dimensional trade‐off model for socially harmonious development for the Sichuan and Yunnan regions in southwest China. The results demonstrate that there is a continuous increase in socioeconomic coordination (SEC; slope > 0.23) and a change in the ECC in the study area, characterized by subtle fluctuations from 2000 through 2008. This was primarily due to the loss of resource and environment carrying capacity wiping out the profits of SEC. Significant government aid during the postdisaster reconstruction and more attention being paid to the environment in policy resulted in a faster increase in ECC (slope > 0.38) from 2008 to 2016. Based on this trade‐off model, managers could deeply understand the relationship between resources, the economy, and ecology. Summary for Managers Ecological environment protection is increasingly crucial in Sichuan and Yunnan regions as they feel the effects of climate change and human activities. The three‐dimensional trade‐off model measuring socially coordinated development is a modified multiobjective, decision‐making model. Based on this trade‐off model, managers could, understand the relationship between resources, the economy, and ecology. It can help manage our environmental assets and plan ecological conservation, to ensure that the environment maintains its capacity to serve the societal development.

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Section: Discussionmentioning

confidence: 99%

Focus on economy or ecology? A three‐dimensional trade‐off based on ecological carrying capacity in southwest China

Deng

Hao

et al. 2018

Natural Resource Modeling

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“…Additionally, economic growth is the top contributor and the urbanization is the most significant factor in reducing carbon emission. Taking coordination and system theory into consideration, Yuan et al [34] empirically examined the coordinated growth of an environment-tourism-economy system in western Hunan from 2001 to 2012. The results confirmed that this system could not achieve the desired results for environmental improvements.…”

Section: Literature Reviewmentioning

confidence: 99%

Tourism and Environmental Pollution: Evidence from the One Belt One Road Provinces of Western China

et al. 2018

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The rapid economic development of China and the industrial shift from its eastern to western provinces have resulted in significant negative impacts on the environment. Recently, tourism has emerged as an alternative for economic and environmental development, but it is a double-edged sword. Without the required measures to protect environment, the opportunity cost of tourism is environmental degradation. The western part of China holds a significant advantage for the development of travel and tourism (T&T), due to One Belt One Road (OBOR), unique ancient culture and spectacular variety of natural scenic spots. This region is among the less explored and less developed, but important, parts of China. Taking this point into consideration, this paper aims to examine the impact of tourism on the environmental pollution of five provinces located in the heart of OBOR over the period of 1991–2016. To explore this link, we used the fully modified ordinary least squares (FMOLS) approach and Gregory-Hansen test for robustness check. We applied the Zivot-Andrews unit root test to deal with structural breaks in data. Our results confirm a negative impact of tourism on environment for Ningxia, Qinghai, Gansu, and Shanxi. However, tourism improves the environmental quality of Xinjiang. The negative impact of energy consumption and GDP growth is significant than tourism. Our findings suggest that the relationship varies for different provinces in the same region depending on the specific provincial features and government policies. Furthermore, tourism development has great potential to improve the economic and environmental sustainability in these provinces.

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“…Wei et al studied the regional development differences of Jiangsu Province from 1950 to 1995 and believed that human capital, physical capital, and institutional structure were the main factors that caused regional development differences (Wei & Kim, 2002). Moreover, economic, ecological environment, and local government actions as well as innovation capacity, are also considered to affect regional coordinated development (Yang et al, 2014;Xu et al, 2011). The second stream focuses on the research perspective of coordinated regional development.…”

Section: Introductionmentioning

confidence: 99%

Study on the Spatial-Temporal Pattern Evolution and Countermeasures of Regional Coordinated Development in Anhui Province, China

Zhang¹,

Cao²,

Zhang³

2020

CUS

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Regional coordinated development was an important measure to resolve new contradictions in the new era, and it has gradually become a hotspot in geography research. At three time points of 2010, 2013, and 2017, by constructing an evaluation index system for the city comprehensive competitiveness, the entropy method and the coupling coordination model were used to study the coordinated development pattern of cities in Anhui Province. Moreover, we tried to raise the issue of regional coordinated development in Anhui Province and corresponding countermeasures. The results showed that the comprehensive competitiveness of cities in Anhui Province has strong spatiotemporal heterogeneity. The spatial development pattern with Hefei as the core was more obvious. The degree of urban coupling in Anhui Province first declined and then increased. The high values of coupling degree were mainly concentrated in cities such as Hefei and Chuzhou, and the low values were mainly concentrated in cities in northern Anhui such as Bozhou and Suzhou. Moreover, the degree of city coordination in Anhui Province has strong hierarchical characteristics. Hefei, Chuzhou and Bengbu have always occupied the position of high-quality coordination, while Chizhou, Bozhou and Suzhou in southern Anhui and northern Anhui have been in a state of imbalance. The research was conducive to improving the relevant theories of regional coordinated development and to provide more theoretical basis and practical significance for the coordinated development of Anhui Province.

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The Dynamic Coordinated Development of a Regional Environment-Tourism-Economy System: A Case Study from Western Hunan Province, China

Cited by 48 publications

References 12 publications

Focus on economy or ecology? A three‐dimensional trade‐off based on ecological carrying capacity in southwest China

Focus on economy or ecology? A three‐dimensional trade‐off based on ecological carrying capacity in southwest China

Tourism and Environmental Pollution: Evidence from the One Belt One Road Provinces of Western China

Study on the Spatial-Temporal Pattern Evolution and Countermeasures of Regional Coordinated Development in Anhui Province, China

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