中国林业生产效率时空分异及影响因素研究
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摘要
运用超效率DEA-Tobit模型对2000-2014年中国30个省(市、区)林业生产效率进行测度,分析中国林业生产效率的影响因素。结果表明,中国林业生产效率整体偏低,空间分异显著;财政支林比重、林业人力资本、林业科技水平等指标对高效率省区林业生产效率具有显著正向影响,对低效率省区林业生产效率具有显著负向影响,城市化水平对高效率省区林业生产效率具有显著正向影响,对低效率省区林业生产效率具有负向影响但不显著。
This paper measured the forestry production efficiency of 30provinces(cities,districts)in China from 2000 to 2014and analyzed the influence factors by using super efficiency DEA-Tobit model.The results indicated that the overall level of forestry production efficiency of China was relatively low and existed spatial variations obviously.The financial support proportion on forestry,forestry human capital,and forestry science and technology level had significantly positive effects on forestry production efficiency in high efficiency provinces,which had significant negative impacts on forestry production efficiency in low efficiency provinces.In addition,urbanization level had a significantly positive influence on forestry production efficiency in high efficiency provinces but negative influence in low efficiency provinces quietly.
This paper measured the forestry production efficiency of 30provinces(cities,districts)in China from 2000 to 2014and analyzed the influence factors by using super efficiency DEA-Tobit model.The results indicated that the overall level of forestry production efficiency of China was relatively low and existed spatial variations obviously.The financial support proportion on forestry,forestry human capital,and forestry science and technology level had significantly positive effects on forestry production efficiency in high efficiency provinces,which had significant negative impacts on forestry production efficiency in low efficiency provinces.In addition,urbanization level had a significantly positive influence on forestry production efficiency in high efficiency provinces but negative influence in low efficiency provinces quietly.
引文
[1]张梦雅,李桦.应用三阶段DEA模型分析退耕还林农户商品林的技术效率[J].西北林学院学报,2014,29(6):276-281.ZHANG M J,LI H.Technical efficiency analysis of commercial forests by SLCP households based on a three-stage DEA model[J].Journal of Northwest Forestry University,2014,29(6):276-281.(in Chinese)
[2]张自强,李怡.营林业全要素生产率增长的测算及其分解—来自27个省级面板数据的分析[J].干旱区资源与环境,2016(12):89-94.
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[7]张朝辉,耿玉德.伊春林业资源型城市的生态与经济社会系统耦合发展研究[J].林业经济问题,2016,36(1):24-28.
[8]黄安胜,刘振滨,许佳贤,等.多重目标下的中国林业全要素生产率及其时空差异[J].林业科学,2015,51(9):117-125.HUANG A S,LIU Z B,XU J X,et al.Forestry total factor productivity under multiple targets in China and its spatiotemporal differences[J].Forestry Science,2015,51(9):117-125.(in Chinese)
[9]陈晓兰,姜雪梅.中国林业全要素生产率分析[J].林业经济,2014,37(3):75-82.
[10]HARBERGER A.Perspectives on capital and technology in less developed countries[C]//ARTIS M J,NOBAY A R.Contemporary economic analysis.London:Croom Helm Ltd.,1978.
[11]HALL R E,JONES C I.Why do some countries produce so much more output per worker than others?[J].The Quarterly Journal of Economics,1999,114.(1):83-116.
[12]吴延瑞.生产率对中国经济增长的贡献:新的估计[J].经济学,2008(3):827-842.
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[14]宋长鸣,向玉林.林业技术效率及其影响因素研究—基于随机前沿生产函数[J].林业经济,2012(2):66-70.
[15]邵砾群,陈海滨,刘军弟,等.基于灰色理论的陕西省林业产业结构分析预测[J].西北林学院学报,2012,27(5):289-292.SHAO L Q,CHEN H B,LIU J D,et al.Grey analysis prediction on forestry industrial structure in Shanxi[J].Journal of Northwest Forestry University,2014,27(5):276-281.(in Chinese)
(1)国家林业局《2001年中国林业发展报告》。
(2)国家林业局的报告:《金融危机对我国林业企业影响的快速调查报告》。
(3)国家林业局《2012年中国林业发展报告》。
[2]张自强,李怡.营林业全要素生产率增长的测算及其分解—来自27个省级面板数据的分析[J].干旱区资源与环境,2016(12):89-94.
[3]HAUSENBUILLER R L.Soil science:principles and practices[M].Dubuque,lowa:Wm.C.Brown Publishers,1985.
[4]曹彦,何东进,纪志荣,等.中国省域林业经济发展影响因素的空间面板计量经济分析[J].林业经济,2016(5):66-70,90.
[5]ANDERSEN P,PETERSEN N C.A procedure for ranking efficient units in data envelopment analysis[J].Management Science,1993,39(10):1261-1265.
[6]田淑英,许文立.基于DEA模型的中国林业投入产出效率评价[J].资源科学,2012,34(10):1944-1950.
[7]张朝辉,耿玉德.伊春林业资源型城市的生态与经济社会系统耦合发展研究[J].林业经济问题,2016,36(1):24-28.
[8]黄安胜,刘振滨,许佳贤,等.多重目标下的中国林业全要素生产率及其时空差异[J].林业科学,2015,51(9):117-125.HUANG A S,LIU Z B,XU J X,et al.Forestry total factor productivity under multiple targets in China and its spatiotemporal differences[J].Forestry Science,2015,51(9):117-125.(in Chinese)
[9]陈晓兰,姜雪梅.中国林业全要素生产率分析[J].林业经济,2014,37(3):75-82.
[10]HARBERGER A.Perspectives on capital and technology in less developed countries[C]//ARTIS M J,NOBAY A R.Contemporary economic analysis.London:Croom Helm Ltd.,1978.
[11]HALL R E,JONES C I.Why do some countries produce so much more output per worker than others?[J].The Quarterly Journal of Economics,1999,114.(1):83-116.
[12]吴延瑞.生产率对中国经济增长的贡献:新的估计[J].经济学,2008(3):827-842.
[13]田杰,姚顺波.中国林业生产的技术效率测算与分析[J].中国人口.资源与环境,2013(11):66-72.
[14]宋长鸣,向玉林.林业技术效率及其影响因素研究—基于随机前沿生产函数[J].林业经济,2012(2):66-70.
[15]邵砾群,陈海滨,刘军弟,等.基于灰色理论的陕西省林业产业结构分析预测[J].西北林学院学报,2012,27(5):289-292.SHAO L Q,CHEN H B,LIU J D,et al.Grey analysis prediction on forestry industrial structure in Shanxi[J].Journal of Northwest Forestry University,2014,27(5):276-281.(in Chinese)
(1)国家林业局《2001年中国林业发展报告》。
(2)国家林业局的报告:《金融危机对我国林业企业影响的快速调查报告》。
(3)国家林业局《2012年中国林业发展报告》。