000034110 001__ 34110
000034110 041__ $$aEnglish
000034110 100__ $$aLi, H.
000034110 245__ $$aSustainable Development of China’s Industrial Economy: An Empirical Study of the Period 2001–2011
000034110 260__ $$c2018
000034110 300__ $$a764-764
000034110 520__ $$a© 2018 by the authors. In this paper, we investigate the implications of continued industrial economic growth on environmental pollution in China in order to inform strategic policies to achieve sustainable development of the industrial sector. We calculate green total factor productivity (TFP) for each industrial sector by estimating the Global Malmquist-Luenberger (GML) index using a Slacks-based Measure Directional Distance Function (SBM-DDF). We find that the green TFP increased at an average annual rate of approximately 6% over the 11-year period. A slightly greater portion of this growth is attributable to technological progress (57%) rather than technical efficiency (43%). To investigate the relationship between industrial economic growth and pollutant levels, we first adopt a hierarchical clustering procedure to group all industrial sectors into green-intensive, intermediate and extensive clusters based on the contribution of green TFP to industrial economic growth within respective industries. Based on an econometric estimation of the relationship between pollutant levels and industrial GDP per capita, we find clear evidence in favor of the Environmental Kuznets Curve (EKC) theory only with wastewater as the primary pollutant of interest and only with industrial sectors that are already relatively pollution intensive. We find no evidence in support of the EKC theory when sulfur dioxide or solid waste is the pollutant of major concern. In general, blindly accelerating industrial economic growth will likely worsen environmental quality, unless reasonable environmental policy interventions are implemented.
000034110 700__ $$aZhang, J.
000034110 700__ $$aOsei, E.
000034110 700__ $$aYu, M.
000034110 773__ $$pSustainability
000034110 773__ $$v10 (3)
000034110 773__ $$a10.3390/su10030764
000034110 8564_ $$uhttp://www.mdpi.com/2071-1050/10/3/764$$yExternal link (open access)
000034110 980__ $$aARTICLE