摘要
将工业用水、工业废水排放和工业产出纳入统一分析框架,运用SBM方向性距离函数对2000-2010年中国30个省份水资源与水环境双重约束下的工业效率进行了测度,并对效率的影响因素进行了回归分析。研究发现,如果将水资源和水环境因素考虑在内,上海等6个省份的工业效率始终处于最佳实践边界,黑龙江等省份的效率水平则相对较低。从地区角度看,东部地区水资源与水环境双重约束下的工业效率最高,西部次之,中部地区最低,且大部分地区效率提升进程自2004年之后出现停滞。回归结果显示,国有工业占比、资本—劳动比、FDI、对外贸易和人均水资源使用量五项指标对水资源与水环境双重约束下的工业效率存在一定负向影响。同时,经济发展程度和工业废水排放达标率对效率提升具有一定积极作用。
By bringing industrial water, wastewater discharge and industrial output into a unified analytical framework and applying SMB directional distance function, this paper conducts a measure- ment on the industrial efficiency under dual constraints of water resources and water environment of China＇s 30 provinces from 2000 to 2010. Then it makes a regression analysis of the factors influenc- ing the efficiency. The study reveals that, if taking into account the factors of water resources and water environment, the industrial efficiency of Shanghai and other six provinces always remain at the optimal practice boundary, while the industrial efficiency of Heilong^iang and other several provinces are on the relative lower level. From the angle of regions, the industrial efficiency under the dual constraints of water resources and water environment in the eastern region is the highest, the western region comes the second, and the central region is the lowest. Moreover, the efficiency improvement in most regions has entered a period of stagnation after 2004. Finally, the result of regression analysis shows that the industrial efficiency under the dual constraints is negatively influenced by the five fac- tors： the proportion of state-owned industries, capital-labor ratio, FDI, foreign trade and per capita wa- ter use. Meanwhile, the economic development level and the target rate of industrial wastewater dis- charge can play an active role in the improvement of efficiency.
出处
《当代财经》
CSSCI
北大核心
2013年第10期86-95,共10页
Contemporary Finance and Economics
基金
教育部人文社会科学研究青年基金项目"基于地区与产业双重维度的京津冀区域水资源优化研究"(12YJC790216)
关键词
水资源
水环境
工业效率
SBM方向性距离函数
water resources
water environment
industrial efficiency
SBM directional distance function
