Optimal production efficiency of Chinese coal enterprises under the background of de-capacity Investigation on the data of coal enterprises in Shandong Province
Optimal production efficiency of Chinese coal enterprises under the background of de-capacity Investigation on the data of coal enterprises in Shandong Province
复制标题
去产能背景下中国煤炭企业最优生产效率 山东省煤炭企业数据调查
DOI：
10.1016/j.jclepro.2019.04.191
复制
发表时间：
2019
影响因子：
11.1
通讯作者：
Li Ke
中科院分区：
文献类型：
--
作者：
Wang Xiaofei;Chen Lei;Liu Chuangeng;Zhang Yiqing;Li Ke
煤炭去产能已成为中国政府的重要目标。然而，如何量化去产能以实现企业的最佳规模却很少讨论。本文以山东省157个煤矿为研究对象，对其技术效率及其影响因素进行了评价。定量分析了煤矿去产能的规模和实施策略。实证结果如下。首先，市场调节在企业低效率中起主要作用，而政策调节主要影响高效率企业。对于效率排名居中的生产型企业（28.03%-77.07%），政策调节的效率高于市场调节。第二，煤炭生产企业的剩余服务年限、劳动力规模、资产负债率与效率负相关，而设计产能、产能利用率与效率正相关。最后，2016年山东省30 - 90万吨生产规模煤矿去产能总量达到最优规模，90万吨以上生产规模煤矿去产能力度必须加大。
Coal de-capacity has become an important goals of the Chinese government. However, the manner by which de-capacity is quantified to achieve the optimal scale for enterprises is rarely discussed. In this study, the technical efficiency of 157 coal mines in Shandong province and their influencing factors are evaluated. Moreover, the de-capacity scale and implementation strategy of coal mines are quantitatively analyzed. The empirical results are as follows. First, market regulation plays a major role in enterprise inefficiency, whereas policy regulation mainly affects highly efficient enterprises. For production enterprises in the middle of efficiency ranking (28.03%–77.07%), the policy regulation is more efficient than the market regulation. Second, the surplus service life, the labor force size, and the asset–liability rate of coal production enterprises are negatively correlated with efficiency, whereas design capacity and capacity utilization rate are positively correlated with efficiency. Finally, the total de-capacity of coal mines with the production scale of 0.3–0.9 million tons in Shandong reach the optimal scale in 2016, whereas the de-capacity intensity of production mines with production scales more than 0.9 million tons must be strengthened.