Next Article in Journal
Electricity Consumption and Economic Growth: Evidence from 17 Taiwanese Industries
Previous Article in Journal
Experiences of Mass Pig Carcass Disposal Related to Groundwater Quality Monitoring in Taiwan
Article Menu
Issue 1 (January) cover image

Export Article

Open AccessArticle
Sustainability 2017, 9(1), 47; doi:10.3390/su9010047

Environmental Efficiency and Its Determinants for Manufacturing in China

1
,
1
and
2,*
1
School of Economics and Management, Beihang University, 37 Xueyuan Road, Haidian District, Beijing 100191, China
2
School of Finance, Central University of Finance and Economics, 39 South College Road, Haidian District, Beijing 100081, China
*
Author to whom correspondence should be addressed.
Academic Editor: Marc A. Rosen
Received: 27 October 2016 / Revised: 24 December 2016 / Accepted: 26 December 2016 / Published: 29 December 2016
View Full-Text   |   Download PDF [1732 KB, uploaded 29 December 2016]   |  

Abstract

In this study, we analyze the environmental efficiency performance and its determinants of 29 manufacturing industries in China from 2006 to 2011 by employing a two-stage DEA (data envelopment analysis)-Tobit model. For providing comparative and robust evidence, the 29 manufacturing industries are classified into three groups based on the pollution intensity. In the first stage, a SBM (slacks-based measure)-DEA model is applied to assess economic efficiency and environmental efficiency scores to illustrate the effects of the environmental factors, while taking into consideration the undesirable output. In the second stage, utilizing these calculated environmental efficiency scores as dependent variables, we employ a Tobit regression model to study the determinants of the environmental efficiency by selecting three independent variables including the industry scale, the openness degree and the energy structure. It turns out that the environmental factors have a positive effect on the lightly polluted industries and a negative effect on the moderately polluted industries, the heavily polluted industries, and the overall industries, while the openness degree, the industry scale, and the energy structure can be effective measures to improve environmental efficiency. Based on these findings, we propose policy measures to enhance the environmental efficiency of manufacturing in China. View Full-Text
Keywords: economic efficiency; environmental efficiency; Tobit regression model; data envelopment analysis; environmental risk economic efficiency; environmental efficiency; Tobit regression model; data envelopment analysis; environmental risk
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Wang, X.; Han, L.; Yin, L. Environmental Efficiency and Its Determinants for Manufacturing in China. Sustainability 2017, 9, 47.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Sustainability EISSN 2071-1050 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top