School of Economics and Management, Anhui University of Science and Technology, Huainan City, 232001, Anhui Province, China.
Environ Sci Pollut Res Int. 2020 Sep;27(27):34147-34157. doi: 10.1007/s11356-020-09537-y. Epub 2020 Jun 16.
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.
面对日益严峻的环境问题,技术创新已成为工业企业协调节能降碳约束与工业经济平稳增长的关键。考虑到能源消耗和环境污染对工业企业技术创新效率的影响,本文将工业能源消耗、污染治理以及废水废气排放等因素纳入技术无效方程。基于 2009-2016 年中国 30 个省、自治区、直辖市的工业企业面板数据,利用随机前沿分析(SFA)模型研究了能源消耗和环境污染对工业企业技术创新效率的影响。研究结果表明,降低能源消耗和增加污染治理投资均对提升工业企业技术创新效率具有显著的驱动作用;工业废水和废气排放则具有相反的效果;污染治理投入和人员配置不合理的投入模式阻碍了工业企业技术创新效率的提升。工业企业技术创新效率的平均年度趋势呈先上升、后下降、再上升的曲线走势。重庆、浙江和湖南的技术创新效率平均值排名前三,青海、黑龙江和内蒙古的技术创新效率平均值排名垫底。其他省份的技术创新效率平均值均高于 0.9,差距较小。应建立工业企业节能减排和加强污染治理的激励机制,完善环保技术人才培训方案,为提升工业企业绿色竞争力提供重要支撑。