Comparative Analysis of Three Governance Modes for Resource-Based Urban Sustainability in China Based on Residents’ Perception: An Empirical Study of Pingdingshan City, Henan Province, China
Abstract
:1. Introduction
2. Literature Review
2.1. Resource-Based Urban Governance
2.2. Comparative Institutional Analysis
2.3. Governance Effectiveness
3. Data and Method
3.1. The Geography of Mining Areas in Pingdingshan City
3.2. Data Sources and SEM Method
4. Evolution and Spatial Differentiation Caused by Three Governance Models in PDS
4.1. Government Governance Model
4.2. Joint Governance Model (Government-Enterprise)
4.3. Market Governance Model
5. Resident Perception Measures under the Three Governance Models
5.1. General Information
5.2. Path Analysis
5.3. Comparative System Analysis of the Three Models
6. Discussion
7. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Acknowledgments
Conflicts of Interest
References
- Jiang, Z.J. Research on the Theory of Mine Waste Land Transformation and Its Application from the Perspective of “Resource-Asset-Capital. Ph.D. Thesis, China University of Mining and Technology, Xuzhou, China, 2014. [Google Scholar]
- Johan, G.K. Wicksell Lecture Notes in National Economics; The Commercial Press: Beijing, China, 2012. [Google Scholar]
- Tiebout, C.M. A pure theory of Local Expenditures. J. Political Econ. 1956, 64, 416–424. [Google Scholar] [CrossRef]
- Wei, Y.; Zhang, Z.; Xiu, C.L. Socio-spatial structure in the transformation of coal cities—Taking Fuxin as an example. Sci. Geogr. Sin. 2011, 31, 850–857. [Google Scholar]
- Lu, Y.G.; Zhang, K. Resource Dependence, Government Efficiency, and the Quality of Economic Development. Res. Econ. Manag. 2019, 40, 3–11. [Google Scholar]
- Wu, H.; Wang, X.; Zhou, H.H.; Wang, Y.; Chen, X.H. Spatial and Temporal Divergence and Coordinated Evolutionary Characteristics of Economic Efficiency and Livelihood Vulnerability in Resource-Shrinking Cities in Northeastern Provinces. Sci. Geogr. Sin. 2019, 39, 1962–1971. [Google Scholar]
- Shen, Y.M.; Yang, B.B.; Zhang, N. Ecological and Environmental Problems of Resource-based Cities and Comprehensive Remediation—Jining City as an Example. Geogr. Res. 2006, 25, 430–438. [Google Scholar]
- Li, H.J.; Long, R.Y. A Study of Environmental Kuznets Curve in Resource-based Cities—An Empirical Analysis Based on Panel Data. Zi Ran Zi Yuan Xue Bao 2013, 28, 19–27. [Google Scholar]
- Dong, F.; Long, R.Y.; Li, X.H. Analysis of the transformation efficiency of resource-based cities considering environmental factors---Based on DEA method and panel data. Resour. Environ. Yangtze Basin 2012, 5, 519–524. [Google Scholar]
- Li, J.S.; Wang, X.R.; Miao, C.H. Comparison of resource-based city development efficiency evaluation based on two DEA models. Econ. Geogr. 2017, 37, 99–106. [Google Scholar]
- Wang, X.N.; Sun, W. Transformation efficiency of resource-based cities in the Yellow River Basin and its influencing factors. Prog. Geogr. 2020, 10, 1643–1655. [Google Scholar]
- Li, D.S.; Zhao, Y.W.; Li, L.Y. Analysis of environmental efficiency and environmental productivity changes in coal resource cities based on panel data of 11 prefecture-level cities in Shanxi Province. J. Nat. Resour. 2020, 36, 618–633. [Google Scholar]
- Masahiko, A. Comparative Institutional Analysis; Shanghai Far Eastern Publishing House: Shanghai, China, 2016. [Google Scholar]
- Li, W.Y. Industrial development of coal mining cities and urban planning problems. Acta Geogr. Sin. 1978, 33, 63–77. [Google Scholar]
- Chang, B.; Hu, B.; Zheng, J.D. Analysis of sustainable development in Pingdingshan City based on ecological footprint method. Environ. Sci. Manag. 2006, 31, 149–152. [Google Scholar]
- Bai, Z.J.; Cheng, S.P.; Liu, Y.Z. Study on Coal Research Stone Pollution in Pingdingshan City, Henan Province; Zhongguo Dadi Press: Beijing, China, 2006. [Google Scholar]
- Dong, X.F.; Liu, S.; Liu, L.C.; Fu, W.J. Evaluation of urban ecological security based on entropy value method---The case of Pingdingshan City. J. Northwest Norm. Univ. (Nat. Sci. Ed.) 2011, 47, 94–98. [Google Scholar]
- Chai, H.B.; Song, B.; Liu, R.B. Research status of foundation bearing capacity in coal mining subsidence area. Henan Ligong Daxue Xuebao 2014, 33, 173–176. [Google Scholar]
- Lv, X.; Jiang, C.L. The impact of economic development on health in coal resource-based cities. East China Econ. Manag. 2012, 26, 11. [Google Scholar]
- Jing, Y.L. Evaluation analysis of sustainable development of coal resource-based cities under the new normal—Pingdingshan in Henan Province as an example. J. Econ. Res. 2018, 10, 135–138. [Google Scholar]
- Bossel, H. Indicators for Sustainable Development: Theory, Method, Applications; International Institute for Sustainable Development: Winnipeg, MB, Canada, 1999. [Google Scholar]
- Malkina-Pykh, I.G. Integrated assessment models and response function models: Pros and cons for sustainable development indices design. Ecol. Indic. 2002, 2, 93–108. [Google Scholar] [CrossRef]
- Lo’pez-Ridaura, S.; Masera, O.; Astier, M. Evaluating the sustainability of complex socio-environmental systems. The MESMIS framework. Ecol. Indic. 2002, 2, 135–148. [Google Scholar] [CrossRef]
- Gunderson, L.H. Ecological Resilience—In Theory and Application. Annu. Rev. Ecol. Syst. 2000, 31, 425–439. [Google Scholar] [CrossRef] [Green Version]
- Temperton, V.M.; Hobbs, R.J. The Search for Ecological Assembly Rules and Its Relevance to Restoration Ecology. Assembly Rules and Restoration Ecology: Bridging the Gap between Theory and Practice; Temperton, R.J., Hobbs, T.J., Nuttle, S.H., Eds.; Island Press: Washington, DC, USA, 2004; pp. 34–54. [Google Scholar]
- Valentin, S. Alien Invasions, Ecological Restoration in Cities and the Loss of Ecological Memory. Restor. Ecol. 2009, 17, 171–176. [Google Scholar]
- Mudd, G.M. The Sustainability of Mining in Australia: Key Production Trendsand Their Evironmental Implications for the Future; Department of Civil Engineering, Monash University and Mineral Policy Institute: Melbourne, VIC, Australia, 2007. [Google Scholar]
- Nam, J.; Chang, W.; Kang, D. Carrying capacity of an uninhabited island off the southwestern coast of Korea. Ecol. Model. 2010, 221, 2102–2107. [Google Scholar] [CrossRef]
- Hatayama, H.; Tahara, K. Evaluating the sufficiency of Japan’s mineral resource entitlements for supply risk mitigation. Resour. Policy 2015, 44, 72–80. [Google Scholar] [CrossRef]
- Hu, Z.Q.; Bian, Z.F.; Cheng, S.H. Land Reclamation and Ecological Reconstruction; China University of Mining and Technology Press: Xuzhou, China, 2008. [Google Scholar]
- Hu, Z.Q.; He, R.X.; Chu, S.L. The Concept and Development of Participatory Land Reclamation. Dili Yu Dili Xinxi Kexue 2003, 19, 96–99. [Google Scholar]
- Zhu, X. The Concept and Development of Participatory Land Reclamation. China Min. Mag. 2002, 1, 1–9. [Google Scholar]
- Bian, Z.F.; Wang, J.F. Implications of redevelopment of industrial and commercial abandoned land in Europe and America for urban land consolidation in China. Zhongguo Tudi Kexue 2008, 22, 54, 65–71. [Google Scholar]
- Hu, Z.Q.; Yang, X.H.; Bao, Y.; Luo, M.; Wang, J.; Long, H.L. On ecological environment restoration in mining areas. Sci. Technol. Her. 2005, 23, 38–41. [Google Scholar]
- Du, B.; Zhang, K.M.; Wen, Z.G.; Song, G.J. The design and case of urban ecological footprint calculation method. J. Tsinghua Univ. 2004, 9, 1171–1175. [Google Scholar]
- Long, A.H.; Zhang, C.; Su, C.Y. Review of ecological footprint and international research frontiers. Adv. Earth Sci. 2004, 6, 971–981. [Google Scholar]
- Feng, S.J. Research on ecological compensation of coal resource-based cities. Master’s Thesis, Liaoning Gongcheng Techology University, Fuxin, China, 2010. [Google Scholar]
- Yang, X.S. Research on the legal system of ecological restoration in mining areas. Master’s Thesis, Chongqing University, Chongqing, China, 2015. [Google Scholar]
- Yang, X.M.; Jiao, H.F. Spatial reconfiguration of coal resource-based cities in transition—Huainan City and Huaibei City as examples. Acta Geogr. Sin. 2016, 8, 1343–1356. [Google Scholar]
- Tian, S.Y.; Hu, H.Y.; Qin, G.W. Study on the optimization of ecological restoration system in coal mining collapse area—Based on the perspective of public goods supply efficiency. Shengtai Jingji 2018, 8, 169–173. [Google Scholar]
- Peng, J. Research on Ecological Restoration and Landscape Reconstruction Model of Urban Abandoned land—Taking Wuhan Garden Expo Park as an Example. Ph.D. Thesis, China University of Geosciences, Wuhan, China, 2018. [Google Scholar]
- Ronald, H.C. On the Institutional Structure of Production; Shanghai Sanlian Bookstore: Shanghai, China, 1994. [Google Scholar]
- Oliver, W. Governance Mechanisms; Mechanical Industries Press: Beijing, China, 2016. [Google Scholar]
- Deng, S.X.; Zhang, T.Q.; Zhang, Y.Q. Institutional Analysis and Public Governance; Fudan University Press: Shanghai, China, 2019. [Google Scholar]
- Yee, W.H.; Tang, S.Y.; Carlos, W.H. Regulatory Compliance Whenthe Rule of Law is Weak: Evidence from China’s Environmental Reform. J. Public Adm. Res. Theory 2016, 26, 95–112. [Google Scholar]
- Liu, N.; Shui, Y.T.; Zhan, X.Y.; Carlos, W.H. Political commitment, Policy Ambiguity, and Corporate Envirnmental Practics. Policy Stud. J. 2018, 46, 190–214. [Google Scholar] [CrossRef]
- Douglas, N. Institutions, Institutional Change, and Economic Performance; Gezhi Press: Shanghai, China, 2008. [Google Scholar]
- Afener, G. Institutions and the Road to a Modern Economy: The Experience of Medieval Trade; Cambridge University Press: Cambridge, UK, 2006. [Google Scholar]
- Shi, G.L. Analysis of the growth dilemma of Chinese social organizations and insights: Based on the perspective of culture, resources and system. Shehui Kexue Yanjiu 2011, 5, 64–69. [Google Scholar]
- Lai, X.J.; Wang, D.L. An empirical study on the factors influencing the development of social organizations: An analysis based on 31 provincial panel data from 2007–2014. Guanli Pinglun 2017, 12, 226–237. [Google Scholar]
- Liu, Y. Analysis of the institutional structure of public finance. Gonggong Caizheng Yanjiu 2017, 5, 4–14. [Google Scholar]
- Yu, K.P. On the Modernization of National Governance; Shehui Kexue Wenxian Press: Beijing, China, 2015. [Google Scholar]
- Sun, B.Y. Urban governance structure and institutional innovation of our government. Zhongguo Xingzheng Guanli 2007, 8, 9–12. [Google Scholar]
- Xia, Z.Q.; Tan, Y. The basic logic of urban governance system and governance capacity building. Shanghai Xingzheng Xueyuan Xuebao 2017, 5, 11–20. [Google Scholar]
- Wang, G.Y. Localgovernance of the sustainability development in resource-based cities in China. Ph.D. Thesis, Lanzhou University, Lanzhou, China, 2011. [Google Scholar]
- Ma, Z.X.; Li, J.F.; Chu, C.J. The evolution characteristics of urban spatial form in Pingdingshan City based on spatial syntax. Anhui Shifan Daxue Xuebao 2015, 38, 174–179. [Google Scholar]
- Huang, G.S. Environmental geological problems in the development and utilization of coal in Pingdingshan. Henan Dizhi 1991, 9, 64–67. [Google Scholar]
- Huang, G.S. Types of urban geological hazards and prevention measures in Henan Province. Henan Dizhi 1993, 11, 234–238. [Google Scholar]
- Ba, Y. Overview of physical geography and environmental geology of Pingdingshan area. Henan Sheng Dizhi Diaocha Yu Ya Jiu Tongbao 2007, 2007, 349–356. [Google Scholar]
- Chen, H.Y.; Wang, D.S.; Jiang, H.L. Analysis of geological environment problems and management measures of mines around Pingdingshan city. Ground Water 2017, 39, 180–182. [Google Scholar]
- Liu, H.J. Analysis of the current situation and prevention and control measures of geological disasters in the northern mountainous area of Pingdingshan City. Zhongguo Jingkuang Yan 2020, 9, 1001–1335. [Google Scholar]
- Kang, Z.; Yin, Y.H.; Song, H.F. Jiakuai Meiganshi Zonghe Liyong, Cujin Meitan Hangye Kechixu Fazhan. Henan Sheng Guotu Ziyuan Kaifa Liyong Yu Baohu Xian; Xi’an Ditu Press: Xi’an, China, 2000. (In Chinese) [Google Scholar]
- Wu, P. Quan guo ren da dai biao zhang lei ming:Dali jia qiang zi yuan xing cheng shi sheng tai xiu fu. Available online: http://www.cma.gov.cn/2011xwzx/2011xqxxw/2011xqxyw/201903/t20190315_517378.html (accessed on 21 October 2021). (In Chinese)
- Qi, L.B. Likert liangbiao de tongji xue fenxi yu mohu zonghe pingpan. Shandong Kexue 2006, 19, 18–28. (In Chinese) [Google Scholar]
- China State Council Environmental Protection Leading Group. Environmental Protection Work Reporting Points. Available online: http://www.qggzszk.org/info/1014/2001.htm (accessed on 21 October 2021).
- Yang, R.L.; Yang, Q.J. A Step-by-Step Model of Progressive Institutional Change—Revisiting the Role of Local Government in Institutional Change in China. Jingji Yanjiu 2000, 3, 24–31, 80. [Google Scholar]
- Xi, J.P. Lüshui Qingshan Jiu Shi Jinshan Yinshan—Guanyu Dali Tui Jin Sheng Tai Wenming Jian She. Available online: http://theory.people.com.cn/n/2014/0711/c40531-25267092.html (accessed on 21 October 2021). (In Chinese).
- Ministry of Finance of the People’s Republic of China, Ministry of Land and Resources, Environmental Protection Administration. Guan yu zhu bu jian li kuang shan huan jing zhi li he sheng tai hui fu ze ren ji zhi de zhi dao yi jian. Available online: https://www.mee.gov.cn/gkml/hbb/gwy/200910/t20091030_180690.htm (accessed on 21 October 2021). (In Chinese)
- State Council of the People’s Republic of China. Quan guo zi yuan xing cheng shi ke chi xu fa zhan gui hua (2013–2020 nian) de tongzhi. Available online: http://www.gov.cn/zwgk/2013-12/03/content_2540070.htm (accessed on 21 October 2021). (In Chinese)
- Neil, J. Stakeholder Engagement: A Road Map to Meaningful Engagement. In How to do Corporate Responsibility; Series No 2; Doughty Centre, Cranfield University: Cranfield, UK, 2009. [Google Scholar]
- Fan, R.H. Analysis of Sustainable Development Capability of Resource-based Cities: The Case of Pingdingshan City. Resour. Ind. 2011, 4, 1–5. [Google Scholar]
- Chen, X.L.; Di, Q.B. Research on the Evaluation of Ecological Transformation Performance and Development Countermeasures of Resource-based Cities: The Case of Pingdingshan City. Resour. Ind. 2021, 23, 1–10. [Google Scholar]
Variable | % | |
---|---|---|
Gender | Male | 68.7 |
Female | 31.3 | |
Age | 0–20 | 0 |
21–30 | 15.4 | |
31–40 | 35.4 | |
41–50 | 35.9 | |
51–70 | 5.6 | |
The length of residence | 0–5 years | 0.5 |
6–10 years | 1.5 | |
10–15 years | 10.3 | |
15–20 years | 4.1 | |
More than 20 years | 83.6 | |
Level of education | High school and below | 20.5 |
College | 34.4 | |
Undergraduate course | 44.6 | |
Graduate student or above | 0.5 | |
Professional | Worker in a coal mining enterprise | 94.4 |
Personnel of government agencies/institutions | 1.5 | |
Students | 0 | |
Teachers | 1 | |
Farmers | 1.5 | |
Business/Service personnel | 1 | |
Freelance/Retired | 0.5 | |
The locals | Yes | 72.3 |
No | 27.7 | |
Household register | Agricultural registered permanent residence | 5.6 |
Non-agricultural household | 94.4 | |
Monthly income | 0–3000 | 51.3 |
3000–5000 | 40.5 | |
5000–7000 | 6.7 | |
7000–10,000 | 1 | |
More than 10,000 | 0.5 |
Governance Model | Governance Spatial Location Distribution | Governance Area | Characteristics of Governance |
---|---|---|---|
I GGM | Edge of mine | Small | Scatter Point |
II JGM | Edge of mine | Larger | Face Shape |
III MGM | Inside of the mine | Medium | Point, Block |
Model I-GGM | Model II-JGM | Model III-MGM | ||||||
---|---|---|---|---|---|---|---|---|
Exogenous Latent Variables | Mean | Std | Mean | Std | Mean | Std | ||
Urban construction | X1 | Urban residential buildings | 3.94 | 1.16 | 2.8 | 0.946 | 2.41 | 1.386 |
X2 | Urban public buildings | 3.83 | 1.144 | 3.67 | 1.481 | 2.95 | 1.035 | |
X3 | Urban municipal buildings | 4.17 | 1.067 | 3.01 | 1.404 | 2.43 | 1.376 | |
Restoration land type | X4 | Residential land | 2.85 | 1.301 | 2.23 | 1.084 | 1.73 | 1.19 |
X5 | Public administration and public service land | 3.79 | 1.326 | 2.3 | 1.217 | 1.99 | 1.482 | |
X6 | Commercial service facility land | 3 | 1.36 | 2.32 | 1.11 | 2.87 | 1.396 | |
X7 | Industrial land | 3.54 | 1.099 | 2.35 | 1.095 | 4.34 | 1.1 | |
X8 | Logistics and warehousing land | 3.48 | 1.136 | 2.3 | 1.133 | 3.97 | 1.168 | |
X9 | Transportation facilities land | 3.9 | 1.442 | 2.55 | 1.199 | 4.49 | 0.995 | |
X10 | Public utility land | 3.75 | 1.282 | 2.4 | 1.166 | 4.46 | 1.147 | |
X11 | Greenfield | 3.86 | 1.249 | 2.42 | 1.194 | 4.33 | 1.188 | |
Public interest | X12 | Energy, transportation, water conservancy, and other infrastructure | 3.88 | 1.149 | 3.37 | 1.071 | 3.38 | 1.375 |
X13 | Science and technology, education, culture, sports, tourism, and resource conservation | 3.92 | 1.068 | 2.63 | 0.991 | 4.22 | 1.079 | |
X14 | Renovation of old cities with concentrated dangerous houses and poor infrastructure | 3.96 | 1.107 | 1.73 | 1.049 | 3.28 | 1.236 | |
Beneficiary group | X15 | Senior government and enterprise leaders | 3.89 | 1.182 | 3.13 | 1.445 | 3.1 | 1.448 |
X16 | Mid-level leaders | 3.74 | 1.162 | 3.07 | 1.353 | 3.14 | 1.329 | |
X17 | Junior professional technician | 3.76 | 1.135 | 2.79 | 1.476 | 3.13 | 1.4 | |
X18 | Individual service providers, workers, farmers | 3.79 | 1.176 | 2.7 | 1.462 | 2.99 | 1.465 | |
X19 | People in poverty and lacking employment security | 3.96 | 1.214 | 3.33 | 1.639 | 3.12 | 1.469 | |
Pollution compensation | X20 | Cultivated land subsidence | 3.21 | 1.662 | 2.4 | 1.219 | 2.32 | 1.156 |
X21 | Road damage | 3.46 | 1.56 | 2.47 | 1.161 | 2.39 | 1.193 | |
X22 | Housing damage | 3.52 | 1.511 | 2.38 | 1.267 | 2.35 | 1.192 | |
X23 | Coal gangue occupies an area | 3.14 | 1.47 | 2.46 | 1.207 | 2.4 | 1.154 | |
X24 | Wastewater treatment | 3.37 | 1.516 | 2.38 | 1.218 | 2.34 | 1.177 | |
X25 | Plant damage | 3.57 | 1.43 | 2.22 | 1.141 | 2.38 | 1.182 | |
X26 | Soil erosion | 3.83 | 1.465 | 2.42 | 1.291 | 2.41 | 1.23 | |
Endogenous latent variables | ||||||||
Governance efficiency | Y1 | Social rates of return | 3.74 | 1.257 | 3.09 | 1.326 | 2.78 | 1.689 |
Y2 | Internal conflict resolution efficiency | 3.75 | 1.15 | 3.21 | 1.257 | 2.66 | 1.478 | |
Y3 | Financial advantages | 3.92 | 1.346 | 3.28 | 1.388 | 2.15 | 1.553 |
Model I-GGM | Model II-JGM | Model III-MGM | ||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
S.E. | C.R. | p | STD | S.E. | C.R. | p | STD | S.E. | C.R. | p | STD | |||
<-- | Urban construction | 0.056 | 4.873 | *** | 0.230 | 0.056 | 4.041 | *** | 0.174 | 0.048 | −5.453 | *** | −0.201 | |
<-- | Restoration land type | 0.041 | 3.789 | *** | 0.146 | 0.042 | 3.759 | *** | 0.147 | 0.060 | 6.670 | *** | 0.236 | |
<-- | Public interest | 0.050 | 6.408 | *** | 0.289 | 0.054 | 5.787 | *** | 0.262 | 0.064 | −5.770 | *** | −0.214 | |
<-- | Beneficiary group | 0.041 | 4.856 | *** | 0.192 | 0.032 | 1.029 | 0.303 | 0.038 | 0.046 | 0.396 | 0.692 | 0.013 | |
<-- | Pollution compensation | 0.029 | −1.782 | 0.075 | −0.065 | 0.042 | 7.324 | *** | 0.300 | 0.066 | 6.683 | *** | 0.267 | |
X1 | <-- | UC | —— | —— | —— | 0.737 | —— | —— | —— | 0.796 | —— | —— | —— | 0.848 |
X2 | <-- | UC | 0.048 | 20.401 | *** | 0.725 | 0.058 | 28.474 | *** | 0.838 | 0.029 | 20.322 | *** | 0.667 |
X3 | <-- | UC | 0.046 | 22.117 | *** | 0.819 | 0.056 | 30.210 | *** | 0.901 | 0.039 | 23.331 | *** | 0.786 |
X4 | <-- | RLT | —— | —— | —— | 0.721 | —— | —— | —— | 0.848 | —— | —— | —— | 0.822 |
X5 | <-- | RLT | 0.046 | 24.074 | *** | 0.792 | 0.034 | 31.149 | *** | 0.810 | 0.037 | 25.196 | *** | 0.722 |
X6 | <-- | RLT | 0.048 | 21.448 | *** | 0.707 | 0.032 | 28.764 | *** | 0.769 | 0.032 | 22.519 | *** | 0.663 |
X7 | <-- | RLT | 0.039 | 19.742 | *** | 0.652 | 0.031 | 31.053 | *** | 0.808 | 0.035 | 27.855 | *** | 0.777 |
X8 | <-- | RLT | 0.040 | 19.226 | *** | 0.635 | 0.033 | 27.553 | *** | 0.748 | 0.035 | 31.452 | *** | 0.845 |
X9 | <-- | RLT | 0.051 | 23.671 | *** | 0.779 | 0.034 | 31.043 | *** | 0.808 | 0.042 | 28.906 | *** | 0.798 |
X10 | <-- | RLT | 0.045 | 25.564 | *** | 0.840 | 0.033 | 30.447 | *** | 0.798 | 0.033 | 28.499 | *** | 0.790 |
X11 | <-- | RLT | 0.044 | 25.716 | *** | 0.845 | 0.035 | 29.138 | *** | 0.776 | 0.040 | 24.329 | *** | 0.704 |
X12 | <-- | PI | —— | —— | —— | 0.782 | —— | —— | —— | 0.766 | —— | —— | —— | 0.753 |
X13 | <-- | PI | 0.041 | 23.983 | *** | 0.820 | 0.044 | 23.438 | *** | 0.848 | 0.058 | 24.785 | *** | 0.875 |
X14 | <-- | PI | 0.041 | 21.952 | *** | 0.733 | 0.043 | 20.491 | *** | 0.695 | 0.052 | 23.026 | *** | 0.769 |
X15 | <-- | BG | —— | —— | —— | 0.821 | —— | —— | —— | 0.775 | —— | —— | —— | 0.759 |
X16 | <-- | BG | 0.037 | 23.485 | *** | 0.721 | 0.035 | 28.323 | *** | 0.815 | 0.037 | 25.990 | *** | 0.786 |
X17 | <-- | BG | 0.036 | 23.835 | *** | 0.730 | 0.036 | 35.759 | *** | 0.974 | 0.039 | 23.307 | *** | 0.716 |
X18 | <-- | BG | 0.037 | 24.848 | *** | 0.756 | 0.036 | 33.434 | *** | 0.924 | 0.040 | 26.228 | *** | 0.792 |
X19 | <-- | BG | 0.039 | 20.968 | *** | 0.656 | 0.042 | 29.931 | *** | 0.851 | 0.040 | 32.199 | *** | 0.961 |
X20 | <-- | PC | —— | —— | —— | 0.762 | —— | —— | —— | 0.787 | —— | —— | —— | 0.810 |
X21 | <-- | PC | 0.039 | 22.593 | *** | 0.717 | 0.036 | 25.929 | *** | 0.766 | 0.036 | 27.495 | *** | 0.780 |
X22 | <-- | PC | 0.038 | 22.700 | *** | 0.720 | 0.038 | 30.102 | *** | 0.860 | 0.035 | 29.606 | *** | 0.823 |
X23 | <-- | PC | 0.037 | 22.162 | *** | 0.705 | 0.036 | 29.138 | *** | 0.839 | 0.034 | 29.823 | *** | 0.827 |
X24 | <-- | PC | 0.038 | 23.392 | *** | 0.740 | 0.037 | 26.277 | *** | 0.774 | 0.036 | 26.739 | *** | 0.764 |
X25 | <-- | PC | 0.036 | 23.569 | *** | 0.745 | 0.035 | 26.169 | *** | 0.772 | 0.036 | 27.178 | *** | 0.773 |
X26 | <-- | PC | 0.036 | 25.629 | *** | 0.803 | 0.040 | 25.945 | *** | 0.766 | 0.037 | 27.608 | *** | 0.782 |
Y1 Social Rates of Return | <-- | GGM/ JGM/ MGM | —— | —— | —— | 0.801 | —— | —— | —— | 0.739 | —— | —— | —— | 0.910 |
Y2 Internal conflict resolution efficiency | <-- | GGM/ JGM/ MGM | 0.038 | 22.809 | *** | 0.764 | 0.050 | 18.447 | *** | 0.723 | 0.029 | 21.987 | *** | 0.674 |
Y3 Financial Advantages | <-- | GGM/ JGM/ MGM | 0.045 | 21.925 | *** | 0.731 | 0.053 | 16.748 | *** | 0.632 | 0.031 | 23.556 | *** | 0.716 |
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Li, X.; Yang, Y.; Meng, Q. Comparative Analysis of Three Governance Modes for Resource-Based Urban Sustainability in China Based on Residents’ Perception: An Empirical Study of Pingdingshan City, Henan Province, China. Sustainability 2021, 13, 13658. https://doi.org/10.3390/su132413658
Li X, Yang Y, Meng Q. Comparative Analysis of Three Governance Modes for Resource-Based Urban Sustainability in China Based on Residents’ Perception: An Empirical Study of Pingdingshan City, Henan Province, China. Sustainability. 2021; 13(24):13658. https://doi.org/10.3390/su132413658
Chicago/Turabian StyleLi, Xiaofan, Yongchun Yang, and Qingmin Meng. 2021. "Comparative Analysis of Three Governance Modes for Resource-Based Urban Sustainability in China Based on Residents’ Perception: An Empirical Study of Pingdingshan City, Henan Province, China" Sustainability 13, no. 24: 13658. https://doi.org/10.3390/su132413658
APA StyleLi, X., Yang, Y., & Meng, Q. (2021). Comparative Analysis of Three Governance Modes for Resource-Based Urban Sustainability in China Based on Residents’ Perception: An Empirical Study of Pingdingshan City, Henan Province, China. Sustainability, 13(24), 13658. https://doi.org/10.3390/su132413658