生态文明建设背景财政扶持、林权改革对林业生产效率的影响
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摘要
基于2000—2016年中国省际面板数据,利用DEA-Malmquist指数法对中国林业生产效率的区域差异和时序变化进行研究,运用面板Tobit模型检验财政扶持对林业生产效率的影响并验证林权改革对二者关系的调节作用。研究发现:在生态文明建设背景下,林业生产效率存在显著的区域差异;技术进步对于全要素生产率的提升起到重要推进作用;财政扶持与林权改革均对林业生产效率产生了正向影响,但林权改革并没有对财政扶持与林业生产效率的关系产生积极调节作用。因此,各省份应当通过加大政府扶持力度、优化投资方式、深化集体林权制度改革等措施促进林业生产效率提升。
⑴ Background——Under the background of ecological civilization construction,it is necessary to provide new ideas for realizing the green development of forestry by accurately measuring the efficiency of forestry production factors allocation,and judging the effects of national financial support and forestry reform on forestry production efficiency.⑵ Methods——The research is based on China's provincial panel data from 2000 to 2016.The DEA-BCC model was used to measure the forestry production efficiency of each province over the years and the DEA-Malmquist index method was used to measure the seasonal changes of forestry production efficiency in each province.The panel Tobit model was used to analyze the influencing factors of forestry production efficiency.⑶ Results——The results show that there are significant differences in forestry production efficiency among provinces.The DEA-Malmquist index indicates forestry.Total factor productivity is on the rise year by year,and technological progress is an important force in the improvement of total factor productivity.The DEA-Tobit model results show that the state financial input in the financial support has a significant effect on the promotion of forestry production efficiency.The coefficients are positive in each regression model,while the local government expenditures are significantly positive in the regression 2,and the rest of the regression models are not significant.The regression coefficient of forest tenure reform is significantly positive in most regression models.The two interaction items of forest tenure reform and financial support are not significant in most regression models.The empirical analysis shows that both financial support and forest tenure reform have positively promoted the improvement of forestry production efficiency.The forest tenure reform has not played a positive role in regulating the relationship between financial support and forestry production efficiency.The estimation results of various control variables show that the internal environmental impact factors and external influence factors faced by forestry production have a significant impact on forestry production efficiency,reflecting the constraint effect of natural resource endowment on forestry production efficiency is losing.⑷ Conclusions and Discussions——The weak nature of forestry industry and the external characteristics of public goods determine that forestry development needs state support,relying on financial support and forest tenure reform to achieve forestry self-accumulation and development,and enhance forestry endogenous growth capacity,which is an inevitable choice for forestry development direction.An important path for the construction of ecological civilization.The state financial input method should combine the actual situation of the forestry reform area,concentrate on improving the quality of forestry production subjects,promote the factor circulation,land circulation and forestry service system,expand investment financing channels,improve the trading market,and ensure the effectiveness of the policy through financial support.To play,we cannot blindly pursue the expansion of investment scale.
⑴ Background——Under the background of ecological civilization construction,it is necessary to provide new ideas for realizing the green development of forestry by accurately measuring the efficiency of forestry production factors allocation,and judging the effects of national financial support and forestry reform on forestry production efficiency.⑵ Methods——The research is based on China's provincial panel data from 2000 to 2016.The DEA-BCC model was used to measure the forestry production efficiency of each province over the years and the DEA-Malmquist index method was used to measure the seasonal changes of forestry production efficiency in each province.The panel Tobit model was used to analyze the influencing factors of forestry production efficiency.⑶ Results——The results show that there are significant differences in forestry production efficiency among provinces.The DEA-Malmquist index indicates forestry.Total factor productivity is on the rise year by year,and technological progress is an important force in the improvement of total factor productivity.The DEA-Tobit model results show that the state financial input in the financial support has a significant effect on the promotion of forestry production efficiency.The coefficients are positive in each regression model,while the local government expenditures are significantly positive in the regression 2,and the rest of the regression models are not significant.The regression coefficient of forest tenure reform is significantly positive in most regression models.The two interaction items of forest tenure reform and financial support are not significant in most regression models.The empirical analysis shows that both financial support and forest tenure reform have positively promoted the improvement of forestry production efficiency.The forest tenure reform has not played a positive role in regulating the relationship between financial support and forestry production efficiency.The estimation results of various control variables show that the internal environmental impact factors and external influence factors faced by forestry production have a significant impact on forestry production efficiency,reflecting the constraint effect of natural resource endowment on forestry production efficiency is losing.⑷ Conclusions and Discussions——The weak nature of forestry industry and the external characteristics of public goods determine that forestry development needs state support,relying on financial support and forest tenure reform to achieve forestry self-accumulation and development,and enhance forestry endogenous growth capacity,which is an inevitable choice for forestry development direction.An important path for the construction of ecological civilization.The state financial input method should combine the actual situation of the forestry reform area,concentrate on improving the quality of forestry production subjects,promote the factor circulation,land circulation and forestry service system,expand investment financing channels,improve the trading market,and ensure the effectiveness of the policy through financial support.To play,we cannot blindly pursue the expansion of investment scale.
引文
[1]吴柏海,曾以禹,陈经伟.财政支持林业新思考:战略定位、历史经验和政策创新[J].林业经济,2014,36(7):3-13.
[2]刘璨,李成金,许兆军,等.我国林业财政政策研究[J].林业经济,2014,37(1):60-79.
[3]田杰,姚顺波.林业生产要素配置效率研究综述及展望[J].林业经济问题,2013,33(4):379-384.
[4]LEBEL L,STUART W B.Technical efficiency evaluation of logging contractors using a nonparametric model[J].International Journal of Forest Engineering,1998,9(2):15-24.
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[7]史常亮,揭昌亮,石峰,等.中国林业技术效率与全要素生产率增长分解:基于SFA-Malmquist方法的估计[J].林业科学,2017,53(12):126-135.
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[9]李桦,姚顺波,刘璨,等.集体林分权条件下不同经营类型商品林生产要素投入及其效率:基于三阶段DEA模型及其福建、江西农户调研数据[J].林业科学,2014,50(12):122-130.
[10]罗小锋,李兆亮,李容容,等.中国林业生产效率的时空差异及其影响因素研究[J].干旱区资源与环境,2017,31(3):95-100.
[11]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,2013,23(11):66-72.
[12]朱洪革,井月.案例企业效率测算与影响因素分析:伊春国有林权制度改革[J].林业经济,2011(7):14-18.
[13]田杰,张晓棠,姚顺波.考虑自然因素投入的林业生产效率评价研究:以南方集体林区为例[J].西安工业大学学报,2015,35(5):378-386.
[14]刘克勇.中国林业财政政策研究[D].哈尔滨:东北林业大学,2005:28-29.
[15]韩雅清,林丽梅,魏远竹,等.劳动力转移、合作经营与林业生产效率研究[J].资源科学,2018,40(4):838-850.
[16]刘璨,吕金芝,王礼权,等.集体林产权制度分析:安排、变迁与绩效[J].林业经济,2006(11):8-13.
[17]苏昕,刘昊龙.农村劳动力转移背景下农业合作经营对农业生产效率的影响[J].中国农村经济,2017(5):60-74.
[18]中华人民共和国国家统计局.各地区数据[EB/OL].(2017-11-20)[2019-01-20].http://data.stats.gov.cn/tablequery.htm?code=AA130J.
[19]陈燕儿,蒋伏心,白俊红.中国高技术产业发展的质量检验:基于全要素生产率的视角[J].研究与发展管理,2018,30(6):117-127.
[20]李毅.基于生态足迹的中国绿色技术效率研究[D].长沙:湖南大学,2018:20.
[21]王学渊.基于前沿面理论的农业水资源生产配置效率研究[D].杭州:浙江大学,2008:12-13.
[22]刘伟.中国农业上市公司绩效评价及成长机理研究[D].吉林:吉林大学,2007:51-53.
[23]陈体珠,陶红军.基于DEA-Malmquist指数方法的我国高校科技产业化全要素生产率分析[J].上海商学院学报,2012,13(5):20-25.
[24]陈建成,程宝栋,印中华.生态文明与中国林业可持续发展研究[J].中国人口·资源与环境,2008(4):139-142.
[2]刘璨,李成金,许兆军,等.我国林业财政政策研究[J].林业经济,2014,37(1):60-79.
[3]田杰,姚顺波.林业生产要素配置效率研究综述及展望[J].林业经济问题,2013,33(4):379-384.
[4]LEBEL L,STUART W B.Technical efficiency evaluation of logging contractors using a nonparametric model[J].International Journal of Forest Engineering,1998,9(2):15-24.
[5]SALEHIRAD N ,SOWLATI T .Productivity and efficiency assessment of the wood industry:A review with a focus on Canada.[J].Forest Products Journal,2006,56(11-12):25-32.
[6]LEE J Y.Application of the three-stage DEA in measuring efficiency:An empirical evidence[J].Applied Economics Letters,2008,15(1):49-52.
[7]史常亮,揭昌亮,石峰,等.中国林业技术效率与全要素生产率增长分解:基于SFA-Malmquist方法的估计[J].林业科学,2017,53(12):126-135.
[8]田杰,石春娜,国亮.基于三阶段DEA模型的林业生产要素配置效率研究[J].林业经济问题,2017,37(6):75-80,112.
[9]李桦,姚顺波,刘璨,等.集体林分权条件下不同经营类型商品林生产要素投入及其效率:基于三阶段DEA模型及其福建、江西农户调研数据[J].林业科学,2014,50(12):122-130.
[10]罗小锋,李兆亮,李容容,等.中国林业生产效率的时空差异及其影响因素研究[J].干旱区资源与环境,2017,31(3):95-100.
[11]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,2013,23(11):66-72.
[12]朱洪革,井月.案例企业效率测算与影响因素分析:伊春国有林权制度改革[J].林业经济,2011(7):14-18.
[13]田杰,张晓棠,姚顺波.考虑自然因素投入的林业生产效率评价研究:以南方集体林区为例[J].西安工业大学学报,2015,35(5):378-386.
[14]刘克勇.中国林业财政政策研究[D].哈尔滨:东北林业大学,2005:28-29.
[15]韩雅清,林丽梅,魏远竹,等.劳动力转移、合作经营与林业生产效率研究[J].资源科学,2018,40(4):838-850.
[16]刘璨,吕金芝,王礼权,等.集体林产权制度分析:安排、变迁与绩效[J].林业经济,2006(11):8-13.
[17]苏昕,刘昊龙.农村劳动力转移背景下农业合作经营对农业生产效率的影响[J].中国农村经济,2017(5):60-74.
[18]中华人民共和国国家统计局.各地区数据[EB/OL].(2017-11-20)[2019-01-20].http://data.stats.gov.cn/tablequery.htm?code=AA130J.
[19]陈燕儿,蒋伏心,白俊红.中国高技术产业发展的质量检验:基于全要素生产率的视角[J].研究与发展管理,2018,30(6):117-127.
[20]李毅.基于生态足迹的中国绿色技术效率研究[D].长沙:湖南大学,2018:20.
[21]王学渊.基于前沿面理论的农业水资源生产配置效率研究[D].杭州:浙江大学,2008:12-13.
[22]刘伟.中国农业上市公司绩效评价及成长机理研究[D].吉林:吉林大学,2007:51-53.
[23]陈体珠,陶红军.基于DEA-Malmquist指数方法的我国高校科技产业化全要素生产率分析[J].上海商学院学报,2012,13(5):20-25.
[24]陈建成,程宝栋,印中华.生态文明与中国林业可持续发展研究[J].中国人口·资源与环境,2008(4):139-142.