Export;
facility-level pollution;
heterogeneous firms;
total factor productivity;
trade and the environment;
INTERNATIONAL-TRADE;
FIRMS;
LIBERALIZATION;
REGULATIONS;
TECHNOLOGY;
POLLUTION;
PLANTS;
IMPACT;
D O I:
10.1093/ajae/aav066
中图分类号:
F3 [农业经济];
学科分类号:
0202 ;
020205 ;
1203 ;
摘要:
This paper studies the firm-level relationship among productivity, decision to export, and environmental performance. The emerging theoretical and empirical literature suggests that trade has an important role in determining firms' heterogeneity: increased openness to trade induces a reallocation effect that increases within-industry efficiency, thereby linking firms' decisions to export and adopt newer (and cleaner) technology. We argue that this framework provides the following empirically-relevant predictions: there is an inverse relationship between firm productivity and pollution emissions per unit output; exporting firms have lower emissions per unit output; and larger firms have a lower emission intensity. To examine these implications empirically, we have assembled a uniquely detailed dataset of the U.S. manufacturing industry for the years 2002, 2005, and 2008 by matching facility-level air emission data from the U.S. Environmental Protection Agency with the facility's economic characteristics contained in the National Establishment Time Series database. The strategy is to first estimate a facility-level total factor productivity parameter as a plant-specific fixed effect. We then investigate how this estimated productivity parameter correlates with emission intensity on a pollutant-by-pollutant basis. Our empirical findings support the hypotheses suggested by the conceptual model. For each criteria air pollutant considered, we find a significant negative correlation between estimated facility productivity and emission intensity. Conditional on a facility's estimated productivity and other controls, exporting facilities have significantly lower emissions per value of sales than non-exporting facilities in the same industry. We also find that plant size is negatively and significantly related to emission intensity for all pollutants.
机构:
Hunan Univ, Sch Marxism, Changsha, Peoples R ChinaHunan Univ, Sch Marxism, Changsha, Peoples R China
Ya, Hou
Junjun, Hou
论文数: 0引用数: 0
h-index: 0
机构:
Hunan Univ, Sch Econ & Trade, Changsha, Peoples R ChinaHunan Univ, Sch Marxism, Changsha, Peoples R China
Junjun, Hou
Wang, Zhan
论文数: 0引用数: 0
h-index: 0
机构:
Chinese Acad Social Sci, Inst Ind Econ, Beijing, Peoples R ChinaHunan Univ, Sch Marxism, Changsha, Peoples R China
Wang, Zhan
Qian, Wang
论文数: 0引用数: 0
h-index: 0
机构:
Xiangtan Univ, Business Sch, Xiangtan, Peoples R China
Xiangtan Univ, Business Sch, Yuhu Dist, Xiangtan 411105, Hunan, Peoples R ChinaHunan Univ, Sch Marxism, Changsha, Peoples R China