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    陈艳莹

    • 教授     博士生导师   硕士生导师
    • 任职 : 中国工业经济学会理事
    • 性别:女
    • 毕业院校:大连理工大学
    • 学位:博士
    • 所在单位:经济管理学院
    • 学科:产业经济学
    • 办公地点:管理与经济学部大楼C座321
    • 联系方式:yychen@dlut.edu.cn
    • 电子邮箱:yychen@dlut.edu.cn

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    The Influence of Enterprises' Bargaining Power on the Green Total Factor Productivity Effect of Environmental Regulation-Evidence from China

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    论文类型:期刊论文

    发表时间:2019-09-01

    发表刊物:SUSTAINABILITY

    收录刊物:SCIE、SSCI

    卷号:11

    期号:18

    关键字:environmental regulations; enterprise's bargaining power; green total factor productivity; Luenberger productivity index

    摘要:In response to the ecological and environmental problems caused by high energy consumption and pollution, Chinese governments have raised their concerns and tighten the regulations. Even though local governments have achieved certain degree of success during policy implementation, it is still far from realizing the ultimate goal. Our study fills the gap in the existing literature by exploring the dynamic effects of environmental regulations on enterprises' green total factor productivity (GTFP) from the perspective of enterprise bargaining power. With data obtained from the industrial pollution database and the Chinese industrial enterprise database, we calculated the GTFP at enterprise level using the Luenberger productivity index. The results from balanced panel data models show that environmental regulations would have negative impacts on enterprise's GTFP in the short run. However, in the long run, the implementation of environmental policies would achieve the win-win goal in terms of enterprises competitiveness and environmental protection. In addition, indicated by industrial output, tax revenue and number of employees, enterprise bargaining power could weaken the dynamic effects of environmental regulations. Moreover, state ownership, local official changes and weak political constraints would enhance enterprise's bargaining power and thus reduce the dynamic effects. By focusing on the enterprise's bargaining power and its heterogeneous factors during policy implementation, our study provides implications for mitigating distortions and improving GTFP.