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Measuring the Level of Industrial Green Development and Exploring Its Influencing Factors: Empirical Evidence from China’s 30 Provinces

by Chaofan Chen 1,2,*, Jing Han 1,† and Peilei Fan 2,3,†
1
School of Economics and Resource Management, Beijing Normal University, Beijing 100875, China
2
School of Planning, Design, and Construction, Michigan State University, East Lansing, MI 488823, USA
3
Center for Global Change and Earth Observations, Michigan State University, East Lansing, MI 488823, USA
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Academic Editor: Giuseppe Ioppolo
Sustainability 2016, 8(2), 153; https://doi.org/10.3390/su8020153
Received: 5 December 2015 / Revised: 13 January 2016 / Accepted: 2 February 2016 / Published: 14 February 2016
(This article belongs to the Section Economic, Business and Management Aspects of Sustainability)
Nowadays, with the green economy becoming mainstream in the world, an industrial revolution as the core of green development has emerged. Based on the empirical evidence from China’s 30 provinces, this study establishes an evaluation index system of China’s industrial green development and applies the analytic hierarchy process to determine the indices’ weights and properties to measure the level of industrial green development in China’s 30 provinces. Then, an empirical study is conducted to explore the relevant factors influencing China’s industrial green development by using the dynamic panel data model and a panel threshold test. The results show that China’s level of industrial green development has the characteristic of typical regional differentiation with a ladder-like distribution from the east and middle to the west, and the eastern region has the highest level on industrial green output, industrial green efficiency and industrial green innovation. Technological progress and innovation can stimulate industrial green development. The impact of environmental regulation and foreign investment on industrial green development presents a nonlinear “N”-type trend, and the positive effects are mainly observed in eastern China. Capital deepening, heavy chemical industries and an unreasonable energy structure are not effective in industrial green development. There is no direct relation between the enterprise scale and industrial green development. View Full-Text
Keywords: industrial green development; assessment and measurement system; analytic hierarchy process; influencing factors; dynamic panel data model; panel threshold test industrial green development; assessment and measurement system; analytic hierarchy process; influencing factors; dynamic panel data model; panel threshold test
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Chen, C.; Han, J.; Fan, P. Measuring the Level of Industrial Green Development and Exploring Its Influencing Factors: Empirical Evidence from China’s 30 Provinces. Sustainability 2016, 8, 153.

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