School of Economics and Management, Southeast University, Nanjing, 211189, People's Republic of China.
School of Finance, Yunnan University of Finance and Economics, Kunming, 650221, People's Republic of China.
Environ Sci Pollut Res Int. 2022 May;29(23):34776-34797. doi: 10.1007/s11356-021-18273-w. Epub 2022 Jan 18.
During 2013-2017, the new energy industry in China experienced prosperous growth with the financing support of the government. To evaluate the real performance of this industry and the government subsidy effect during this period, this paper measures both the original and adjusted industry efficiencies and investigates the non-linear impact of the government subsidy. Applying a four-stage data envelopment analysis (DEA) method to a sample of listed companies during 2013-2017, we find that: (1) China's new energy industry obtains relatively a high efficiency while showing a noticeable decline after a rising trend; (2) the industry efficiency presents a downward adjustment after eliminating the environmental factors; (3) a single threshold of government subsidy is identified, indicating a shackle after a short-term positive impact; (4) the positive mediating effect of cash flow and R&D investments are identified; and whereas the management self-interest presents a negative mediating effect, (5) the regional and ownership endogeneity of the government subsidy effect are recognized.
2013-2017 年,中国新能源产业在政府融资支持下经历了繁荣增长。为了评估这一时期该产业的实际绩效和政府补贴效果,本文同时测算了原始和调整后的产业效率,并考察了政府补贴的非线性影响。本文采用四阶段数据包络分析(DEA)方法对 2013-2017 年上市公司样本进行研究,结果发现:(1)中国新能源产业在取得较高效率的同时,呈现出先上升后下降的显著趋势;(2)在消除环境因素后,产业效率呈下降调整;(3)确定了政府补贴的单一门槛,表明短期积极影响之后存在束缚;(4)识别出现金流量和研发投资的正向中介效应,而管理自利则表现出负向中介效应;(5)还认识到政府补贴效果的区域和所有权内生性。