基于超越对数生产函数的黑龙江省农业经济增长动力因素分析
|
摘要
为促进黑龙江省农业经济增长,完善农业生产要素配制机制,本研究基于柯布—道格拉斯生产函数,以农业资本投入、农业劳动力投入、农业土地投入和农业中间投入4个生产要素为变量,建立超越对数生产函数,应用因子分析法去除自变量间的多重共线性,岭回归法求解模型参数,确定各个影响因素的系数。并利用本文所提方法对黑龙江省2006-2016年的相关数据进行分析。结果表明:黑龙江省正朝着农业现代化快速发展,但要素配置协同匹配水平不高,农业中间投入利用率高于农业资本投入,劳动力投入和土地投入;农业中间投入和农业劳动力投入在黑龙江省农业生产活动中的地位较高,对经济发展的贡献较大;要素间技术进步差异较小,其中农业土地投入和农业中间投入技术进步较高。
In order to promote the agricultural economic growth of Heilongjiang Province and improve the allocation mechanism of agricultural fators,based on the Cobb-Douglas production function,this study established a transcendental logarithmic production function with four production factors as variables:agricultural capital input,agricultural labor input,agricultural land input and agricultural intermediate input.Factor analysis method was used to remove the multiple collinearity among independent variables,and ridge regression method was used to solve the model parameters.Determine the coefficients of each influencing factor.The method mentioned in this paper was used to analyze the relevant data of Heilongjiang Province from 2006 to 2016.The results showed that Heilongjiang Province was developing rapidly towards agricultural modernization,but the level of coordinated matching of factors allocation was not high,the utilization ratio of agricultural intermediate input was higher than that of agricultural capital input,labor input and land input;the status of agricultural intermediate input and agricultural labor input in agricultural production activities of Heilongjiang Province was higher,and their contribution to economic development was poor;The difference was small,among which agricultural land input and agricultural intermediate input had made higher technological progress.
In order to promote the agricultural economic growth of Heilongjiang Province and improve the allocation mechanism of agricultural fators,based on the Cobb-Douglas production function,this study established a transcendental logarithmic production function with four production factors as variables:agricultural capital input,agricultural labor input,agricultural land input and agricultural intermediate input.Factor analysis method was used to remove the multiple collinearity among independent variables,and ridge regression method was used to solve the model parameters.Determine the coefficients of each influencing factor.The method mentioned in this paper was used to analyze the relevant data of Heilongjiang Province from 2006 to 2016.The results showed that Heilongjiang Province was developing rapidly towards agricultural modernization,but the level of coordinated matching of factors allocation was not high,the utilization ratio of agricultural intermediate input was higher than that of agricultural capital input,labor input and land input;the status of agricultural intermediate input and agricultural labor input in agricultural production activities of Heilongjiang Province was higher,and their contribution to economic development was poor;The difference was small,among which agricultural land input and agricultural intermediate input had made higher technological progress.
引文
[1]许瑞泉.经济新常态下我国农业供给侧结构性改革路径[J].甘肃社会科学,2016(6):178-183.
[2]邓宗兵.中国农业全要素生产率增长及影响因素研究[D].重庆:西南大学,2010.
[3]郭承先.马克思利润平均化理论与供给侧结构性改革[J].理论研究,2017(1):10-15.
[4]张淑辉,陈建成,张立中,等.农业经济增长及其影响因素的典型相关分析——以山西为例[J].经济问题,2012(5):85-88,92.
[5]李继凯.抓住“供给侧改革”新机遇[N].中华工商时报,2015-12-09(003).
[6]许经勇.农业供给侧结构性改革的深层思考[J].学习论坛,2016,32(6):32-35.
[7]董雪,刘畅,张仕颖,等.基于农业供给侧改革的黑龙江省农业种植结构调整研究[J].黑龙江八一农垦大学学报,2018,30(1):92-95.
[8]闻天.增收才是农业供给侧改革的目的[N].中国劳动保障报,2016-12-24(003).
[9] Bhattacharjee J P.Resourceuse and productivity in world agriculture[J].Journal of Farm Economics,1955,37(1):57-71.
[10] Griliches Z.Research expenditures,education and the aggregate agricultural production function[J].Americana Economic Review,1964,54(6):961-974.
[11] Solow R M.Technical change and the aggregate production function[J].The Review of Economics and Statistics,1957,39(3):312-320.
[12] Hayami Y.Agricultural productivity differences among countries[J].Americana Economic Review,1970,60(4):895-911.
[13]左喜梅.供给侧结构性改革:新常态下经济增长的动力——基于超越对数生产函数对新疆济增长的实证分析[J].金融发展评论,2016(5):58-70.
[14]陈治国,辛冲冲,刘向晖,等.新疆农业生产要素产出弹性、替代弹性及其技术进步差异分析——基于超越对数生产函数模型[J].石家庄经济学院学报,2015(6):7-12.
[15]焦文献,陈兴鹏,贾卓.甘肃省能源消费碳足迹变化及影响因素分析[J].资源科学,2012,34(3):559-565.
[2]邓宗兵.中国农业全要素生产率增长及影响因素研究[D].重庆:西南大学,2010.
[3]郭承先.马克思利润平均化理论与供给侧结构性改革[J].理论研究,2017(1):10-15.
[4]张淑辉,陈建成,张立中,等.农业经济增长及其影响因素的典型相关分析——以山西为例[J].经济问题,2012(5):85-88,92.
[5]李继凯.抓住“供给侧改革”新机遇[N].中华工商时报,2015-12-09(003).
[6]许经勇.农业供给侧结构性改革的深层思考[J].学习论坛,2016,32(6):32-35.
[7]董雪,刘畅,张仕颖,等.基于农业供给侧改革的黑龙江省农业种植结构调整研究[J].黑龙江八一农垦大学学报,2018,30(1):92-95.
[8]闻天.增收才是农业供给侧改革的目的[N].中国劳动保障报,2016-12-24(003).
[9] Bhattacharjee J P.Resourceuse and productivity in world agriculture[J].Journal of Farm Economics,1955,37(1):57-71.
[10] Griliches Z.Research expenditures,education and the aggregate agricultural production function[J].Americana Economic Review,1964,54(6):961-974.
[11] Solow R M.Technical change and the aggregate production function[J].The Review of Economics and Statistics,1957,39(3):312-320.
[12] Hayami Y.Agricultural productivity differences among countries[J].Americana Economic Review,1970,60(4):895-911.
[13]左喜梅.供给侧结构性改革:新常态下经济增长的动力——基于超越对数生产函数对新疆济增长的实证分析[J].金融发展评论,2016(5):58-70.
[14]陈治国,辛冲冲,刘向晖,等.新疆农业生产要素产出弹性、替代弹性及其技术进步差异分析——基于超越对数生产函数模型[J].石家庄经济学院学报,2015(6):7-12.
[15]焦文献,陈兴鹏,贾卓.甘肃省能源消费碳足迹变化及影响因素分析[J].资源科学,2012,34(3):559-565.