Journal
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
Volume 27, Issue 27, Pages 34147-34157Publisher
SPRINGER HEIDELBERG
DOI: 10.1007/s11356-020-09537-y
Keywords
Energy consumption; Environmental pollution; Technological innovation efficiency; Pollution control; Stochastic frontier analysis (SFA)
Categories
Funding
- National Natural Science Foundation of China [71704002, 71503003, 51774013]
- Anhui Province Philosophy and Social Science Planning Foundation of China [AHSKQ2016D26]
- Anhui Province Soft Science Foundation of China [1502052055]
- Humanities and Social Sciences Foundation of Education Department, Anhui Province, China [SK2016A0291]
- Anhui Province Natural Science Foundation of China [1508085QG147, 1708085QG166]
- Anhui University of Technology Graduate Innovation Fund Project [2019CX2074]
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Facing increasingly serious environmental problems, technological innovation has become the key for industrial enterprises to coordinate energy conservation and emission reduction constraints and achieve steady growth of the industrial economy. Considering the impact of energy consumption and environmental pollution on the technological innovation efficiency of industrial enterprises, this paper incorporates industrial energy consumption, pollution control, and wastewater and exhaust emissions into the technical inefficiency equation. Based on the panel data of industrial enterprises in 30 provinces and autonomous regions in China from 2009 to 2016, the stochastic frontier analysis (SFA) model is used to study the effect of energy consumption and environmental pollution on technological innovation efficiency of industrial enterprises. The research results show that reducing energy consumption and increasing pollution treatment investment both have a significant driving effect on the improvement of industrial enterprises' technological innovation efficiency. Industrial wastewater and exhaust emissions have the opposite effect; unreasonable input mode of pollution control and personnel allocation have hindered the improvement of industrial enterprises' technological innovation efficiency. The average annual trend of technological innovation efficiency in industrial enterprises shows a curve of first rising, then falling, and rising again. The average values of Chongqing, Zhejiang, and Hunan rank in the top three, and the average values of Qinghai, Heilongjiang, and Inner Mongolia rank the bottom three. The average values of other provinces are higher than 0.9, and the difference is small. A suitable incentive mechanism should be established for industrial enterprises to save energy and reduce emissions and strengthen pollution control, improve the training program for environmental protection technical personnel, and provide important support for improving the green competitiveness of industrial enterprises.
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