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The Relationship between Industrial Ownership and Environmental Pollution: Panel Data Evidence from China 2000-2010

Virtanen, Laura LU (2016) NEKN03 20161
Department of Economics
Abstract
This paper empirically investigates the relationship between industrial ownership and environmental degradation in the People’s Republic of China, with specific focus on two environmental indicators: volume of SO2 emissions and volume of industrial wastewater deemed unsafe for discharge. Sulfur dioxide and untreated wastewater emissions are considered some of the most problematic environmental and societal threats in China, generating concern both internationally and nationally. Identifying whether enterprise ownership is correlated with the existing volumes of these pollutants is important from a policy and regulation perspective. The sample of 286 observations has been collected from various editions of Provincial Statistical Yearbooks... (More)
This paper empirically investigates the relationship between industrial ownership and environmental degradation in the People’s Republic of China, with specific focus on two environmental indicators: volume of SO2 emissions and volume of industrial wastewater deemed unsafe for discharge. Sulfur dioxide and untreated wastewater emissions are considered some of the most problematic environmental and societal threats in China, generating concern both internationally and nationally. Identifying whether enterprise ownership is correlated with the existing volumes of these pollutants is important from a policy and regulation perspective. The sample of 286 observations has been collected from various editions of Provincial Statistical Yearbooks (available online at the Chinese Statistical Database), constituting to a panel dataset of 26 administrative regions spanning the years 2000-2010. A two-way fixed effects approach is used to conduct the empirical analysis. The main findings indicate that a higher public sector share, and thus a smaller private sector share, are positively correlated with SO2 emissions but negatively associated with toxic wastewater emissions. This implies that private sector enterprises may have better environmental performance that state-owned enterprises in China in terms of SO2 emissions, but worse environmental performance in terms of toxic wastewater discharge. (Less)
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author
Virtanen, Laura LU
supervisor
organization
course
NEKN03 20161
year
type
H1 - Master's Degree (One Year)
subject
keywords
China, Pollution, Industrial Ownership, Panel Data
language
English
id
8890806
date added to LUP
2016-09-09 13:25:34
date last changed
2016-09-09 13:25:34
@misc{8890806,
  abstract     = {This paper empirically investigates the relationship between industrial ownership and environmental degradation in the People’s Republic of China, with specific focus on two environmental indicators: volume of SO2 emissions and volume of industrial wastewater deemed unsafe for discharge. Sulfur dioxide and untreated wastewater emissions are considered some of the most problematic environmental and societal threats in China, generating concern both internationally and nationally. Identifying whether enterprise ownership is correlated with the existing volumes of these pollutants is important from a policy and regulation perspective. The sample of 286 observations has been collected from various editions of Provincial Statistical Yearbooks (available online at the Chinese Statistical Database), constituting to a panel dataset of 26 administrative regions spanning the years 2000-2010. A two-way fixed effects approach is used to conduct the empirical analysis. The main findings indicate that a higher public sector share, and thus a smaller private sector share, are positively correlated with SO2 emissions but negatively associated with toxic wastewater emissions. This implies that private sector enterprises may have better environmental performance that state-owned enterprises in China in terms of SO2 emissions, but worse environmental performance in terms of toxic wastewater discharge.},
  author       = {Virtanen, Laura},
  keyword      = {China,Pollution,Industrial Ownership,Panel Data},
  language     = {eng},
  note         = {Student Paper},
  title        = {The Relationship between Industrial Ownership and Environmental Pollution: Panel Data Evidence from China 2000-2010},
  year         = {2016},
}