Pollution;
Local protection;
Law enforcement;
FDI;
ENVIRONMENTAL-REGULATIONS;
TRADE GOOD;
ENFORCEMENT;
GROWTH;
IMPACT;
D O I:
10.1016/j.jce.2013.07.007
中图分类号:
F [经济];
学科分类号:
02 ;
摘要:
Using a large, unique, firm-level dataset from the Chinese manufacturing sector, we study important factors that are related to emission intensity for three pollutants in China - sulfur dioxide, wastewater, and soot. Our main findings are as follows: (1) compared to stateowned enterprises (SOEs), both foreign-owned firms and domestic public-listed firms exhibit less intensive pollutant emissions; (2) firms in regions with less local protection have lower pollution intensity; (3) better property rights protection is negatively correlated with pollutant discharge over and beyond the national standards; and (4) larger firms, firms in industries that export more, and firms with more educated employees pollute less. These results suggest that China should not target foreign firms more harshly in its effort to reduce industrial pollution. Better institutions in the form of more effective law enforcement and lower entry barriers across regional markets are also means of curbing China's pressing environmental problems during its current stage of economic development. Journal of Comparative Economics 42 (1) (2014) 118-142. Lingnan University of Hong Kong, Hong Kong; Faculty of Business and Economics, University of Hong Kong, Hong Kong. (C) 2013 Association for Comparative Economic Studies Published by Elsevier Inc. All rights reserved.
机构:
Sun Yat Sen Univ, Sch Geog & Planning, 135 Xinggangxi Rd,Bldg 332, Guangzhou, Peoples R China
Sun Yat Sen Univ, China Reg Coordinated Dev & Rural Construct Inst, Guangzhou, Peoples R ChinaSun Yat Sen Univ, Sch Geog & Planning, 135 Xinggangxi Rd,Bldg 332, Guangzhou, Peoples R China
Qin, Xiaozhen
Xu, Weipan
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机构:
Sun Yat Sen Univ, Sch Geog & Planning, 135 Xinggangxi Rd,Bldg 332, Guangzhou, Peoples R China
Sun Yat Sen Univ, China Reg Coordinated Dev & Rural Construct Inst, Guangzhou, Peoples R ChinaSun Yat Sen Univ, Sch Geog & Planning, 135 Xinggangxi Rd,Bldg 332, Guangzhou, Peoples R China
Xu, Weipan
Chen, Haohui 'Caron'
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机构:
CSIRO, Data61, Melbourne, Vic, Australia
Monash Univ, Fac Informat Technol, Melbourne, Vic, AustraliaSun Yat Sen Univ, Sch Geog & Planning, 135 Xinggangxi Rd,Bldg 332, Guangzhou, Peoples R China
Chen, Haohui 'Caron'
Zhong, Jiawei
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机构:
Sun Yat Sen Univ, Sch Geog & Planning, 135 Xinggangxi Rd,Bldg 332, Guangzhou, Peoples R China
Sun Yat Sen Univ, China Reg Coordinated Dev & Rural Construct Inst, Guangzhou, Peoples R ChinaSun Yat Sen Univ, Sch Geog & Planning, 135 Xinggangxi Rd,Bldg 332, Guangzhou, Peoples R China
Zhong, Jiawei
Sun, Yifei
论文数: 0引用数: 0
h-index: 0
机构:
Calif State Univ Northridge, Dept Geog & Environm Studies, Northridge, CA 91330 USASun Yat Sen Univ, Sch Geog & Planning, 135 Xinggangxi Rd,Bldg 332, Guangzhou, Peoples R China
Sun, Yifei
Li, Xun
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机构:
Sun Yat Sen Univ, Sch Geog & Planning, 135 Xinggangxi Rd,Bldg 332, Guangzhou, Peoples R China
Sun Yat Sen Univ, China Reg Coordinated Dev & Rural Construct Inst, Guangzhou, Peoples R ChinaSun Yat Sen Univ, Sch Geog & Planning, 135 Xinggangxi Rd,Bldg 332, Guangzhou, Peoples R China
机构:
Zhejiang Univ, Inst Fiscal Big Data & Policy, Sch Econ, Hangzhou, Peoples R ChinaZhejiang Univ, Inst Fiscal Big Data & Policy, Sch Econ, Hangzhou, Peoples R China
Yang, Gaoju
Xie, Yuexing
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机构:
Zhejiang Univ, Inst Fiscal Big Data & Policy, Sch Econ, Hangzhou, Peoples R China
Zhejiang Univ, Sch Econ, REOD, Hangzhou, Peoples R ChinaZhejiang Univ, Inst Fiscal Big Data & Policy, Sch Econ, Hangzhou, Peoples R China
Xie, Yuexing
Huang, Xianhai
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机构:
Zhejiang Univ, Inst Fiscal Big Data & Policy, Sch Econ, Hangzhou, Peoples R China
Zhejiang Univ, Sch Econ, REOD, Hangzhou, Peoples R ChinaZhejiang Univ, Inst Fiscal Big Data & Policy, Sch Econ, Hangzhou, Peoples R China
Huang, Xianhai
Chen, Hangyu
论文数: 0引用数: 0
h-index: 0
机构:
Zhejiang Univ, Inst Fiscal Big Data & Policy, Sch Econ, Hangzhou, Peoples R China
Zhejiang Univ, Res Ctr Reg Coordinated Dev, 866 Yuhangtang Rd, Hangzhou 310058, Peoples R ChinaZhejiang Univ, Inst Fiscal Big Data & Policy, Sch Econ, Hangzhou, Peoples R China