利用松弛变量度量(slack based measure,SBM)的超效率模型,对污染排放约束下中国2004—2014年23个水稻生产省(市、自治区)的水稻生产用水效率进行测度分析,并通过Tobit模型分析影响水稻生产用水效率的因素。结果表明:在污染排放约束下...利用松弛变量度量(slack based measure,SBM)的超效率模型,对污染排放约束下中国2004—2014年23个水稻生产省(市、自治区)的水稻生产用水效率进行测度分析,并通过Tobit模型分析影响水稻生产用水效率的因素。结果表明:在污染排放约束下很多地区的水稻用水效率没有达到生产的前沿面,各地区的水稻生产用水效率存在很大差异,总体上各地区的水稻用水效率呈不断提升的趋势。从水稻生产区域来看,长江中下游地区的水稻生产用水效率最高,而华北地区的水稻生产用水效率多年来一直最低,东北地区和西南地区的水稻生产用水效率的年度波动幅度较大。农村居民人均纯收入、水稻播种面积占比和水稻机械化水平对水稻生产用水效率有显著的正向影响,而水资源丰裕程度、农田水利设施和节水农业发展水平对水稻用水效率并没有显著影响。展开更多
This paper takes the innovative enterprises with substantial financing in2014-2016 as the research sample,uses the foundation layer enterprises under the same conditions as the contrast,and uses the data envelopment a...This paper takes the innovative enterprises with substantial financing in2014-2016 as the research sample,uses the foundation layer enterprises under the same conditions as the contrast,and uses the data envelopment analysis to do empirical research. By comparing the comprehensive technical efficiency,pure technical efficiency and scale efficiency of the sample enterprises and the controlled enterprises,and through the analysis of slack variables of non DEA efficient enterprises,the reasons for the low efficiency and the improvement direction are pointed out. The results show that the financing efficiency of innovation layer enterprises is obviously higher than that of the underlying enterprises,and the financing efficiency has also improved in recent years,but there are still unstable factors,main problem of which is poor operating capacity of funds.展开更多
文摘利用松弛变量度量(slack based measure,SBM)的超效率模型,对污染排放约束下中国2004—2014年23个水稻生产省(市、自治区)的水稻生产用水效率进行测度分析,并通过Tobit模型分析影响水稻生产用水效率的因素。结果表明:在污染排放约束下很多地区的水稻用水效率没有达到生产的前沿面,各地区的水稻生产用水效率存在很大差异,总体上各地区的水稻用水效率呈不断提升的趋势。从水稻生产区域来看,长江中下游地区的水稻生产用水效率最高,而华北地区的水稻生产用水效率多年来一直最低,东北地区和西南地区的水稻生产用水效率的年度波动幅度较大。农村居民人均纯收入、水稻播种面积占比和水稻机械化水平对水稻生产用水效率有显著的正向影响,而水资源丰裕程度、农田水利设施和节水农业发展水平对水稻用水效率并没有显著影响。
基金This thesis is the staged achievement of 2017YCJR001 Program of Yancheng Financial Research Institute and is funded by Key Constructive Disciplines of Jiangsu Province-Applied Econometrics
文摘This paper takes the innovative enterprises with substantial financing in2014-2016 as the research sample,uses the foundation layer enterprises under the same conditions as the contrast,and uses the data envelopment analysis to do empirical research. By comparing the comprehensive technical efficiency,pure technical efficiency and scale efficiency of the sample enterprises and the controlled enterprises,and through the analysis of slack variables of non DEA efficient enterprises,the reasons for the low efficiency and the improvement direction are pointed out. The results show that the financing efficiency of innovation layer enterprises is obviously higher than that of the underlying enterprises,and the financing efficiency has also improved in recent years,but there are still unstable factors,main problem of which is poor operating capacity of funds.
