Spatial Analysis of Citizens’ Environmental Complaints in China: Implications in Environmental Monitoring and Governance
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- Jingjing Zeng & Meng Yuan & Richard Feiock, 2019. "What Drives People to Complain about Environmental Issues? An Analysis Based on Panel Data Crossing Provinces of China," Sustainability, MDPI, vol. 11(4), pages 1-18, February.
- Tong Zhang & Chaofan Chen, 2018. "The Effect of Public Participation on Environmental Governance in China–Based on the Analysis of Pollutants Emissions Employing a Provincial Quantification," Sustainability, MDPI, vol. 10(7), pages 1-20, July.
- Haixiao Huang & Gay Y. Miller, 2006. "Citizen Complaints, Regulatory Violations, and Their Implications for Swine Operations in Illinois," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 28(1), pages 89-110.
- Haixiao Huang & Gay Y. Miller, 2006. "Citizen Complaints, Regulatory Violations, and Their Implications for Swine Operations in Illinois," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 28(1), pages 89-110.
- Weersink, Alfons & Raymond, Mark, 2007. "Environmental regulations impact on agricultural spills and citizen complaints," Ecological Economics, Elsevier, vol. 60(3), pages 654-660, January.
- Arthur Getis & J. Keith Ord, 2010. "The Analysis of Spatial Association by Use of Distance Statistics," Advances in Spatial Science, in: Luc Anselin & Sergio J. Rey (ed.), Perspectives on Spatial Data Analysis, chapter 0, pages 127-145, Springer.
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- Li, Zihao & Yuan, Bingbing & Bai, Tingting & Dong, Xu & Wu, Haitao, 2024. "Shooting two hawks with one arrow: The role of digitization on the coordinated development of resources and environment," Resources Policy, Elsevier, vol. 90(C).
- Mao, Yihuan & Lin, Yan, 2024. "Do more hands make work easier? Public supervision and corporate green innovation," International Review of Economics & Finance, Elsevier, vol. 91(C), pages 1064-1083.
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Keywords
citizen environmental complaints; hotline and internet; spatial characteristics; influencing factors; spatial regression models; China;All these keywords.
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