The impact of environmental policy stringency on industrial productivity growth: A semi-parametric study of OECD countries

被引:25
作者
Feng, Guohua [1 ]
McLaren, Keith R. [2 ]
Yang, Ou [3 ]
Zhang, Xiaohui [4 ]
Zhao, Xueyan [2 ]
机构
[1] Univ North Texas, Dept Econ, Denton, TX 76203 USA
[2] Monash Univ, Dept Econometr & Business Stat, Melbourne, Vic, Australia
[3] Univ Melbourne, Melbourne Inst Appl Econ & Social Res, Melbourne, Vic, Australia
[4] Univ Exeter, Business Sch, Exeter, Devon, England
基金
澳大利亚研究理事会;
关键词
Environmental policy stringency; Productivity growth; Semi-parametric varying coefficient system; OECD countries; COEFFICIENT; COMPETITIVENESS; INFERENCE;
D O I
10.1016/j.eneco.2021.105320
中图分类号
F [经济];
学科分类号
02 ;
摘要
This paper employs a semi-parametric varying coefficient system approach to investigating the impact of environmental policy stringency on a nation's productivity growth using data for a panel of OECD countries over a period of two decades. A new cross-country proxy of environmental policy stringency is employed. Our results show that while stricter environmental policies might shift a country's total cost in production upward, for countries which have already adopted relatively more stringent environmental policies, further increasing their policy stringency seems to enhance these countries' productivity in the long run. We also find that more stringent environmental policies seem to render a country's use of intermediate inputs more inelastic to their own prices and decrease the substitutability between labor and intermediate inputs in the long run. We argue that more stringent environmental policies would exert tighter control over the use of several intermediate inputs such as energy, raw materials, pollution-intensive services etc., leading to the use of these inputs being less sensitive to changes in their market prices. Tighter control over the use of these intermediate inputs would also render them less of a substitute for labor input. (C) 2021 Elsevier B.V. All rights reserved.
引用
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页数:17
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