贫困地区农户互联网信息技术使用的增收效应
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摘要
运用贫困地区793份农户调查数据,考察互联网信息技术使用对农户收入影响的异质性及作用机制。结果表明,互联网信息技术使用对农户增收效果比较明显。在消除农户个体选择偏误后,互联网信息技术使用对农户总收入、人均纯收入、非农总收入和农业总收入效应分别为25.7%、20.0%、23.5%、29.6%;采用OLS回归和Heckman回归估计互联网信息技术使用对不同来源构成的收入也均有显著正向影响;互联网信息技术使用对农户增收效应在不同教育水平和年龄阶段具有显著个体异质性;作用机制显示互联网信息技术使用会降低农户信息搜寻成本、形成较强价格效应、拓展市场参与范围、提升人力资本,进而达到增收效果。
Based on 793 farmers survey data in poverty areas, and discuss the effect of internet information technology on farmers' different income which include the heterogeneity and mechanism.The results show that the use of internet information technology has a significant effect on farmers' income. After eliminating the individual choice errors, it is estimated that the effects of internet information technology on farmers' total income, per capita net income, non-agricultural total income and agricultural total income are increasing 25.7%, 20.0%, 23.5% and 29.6% respectively. OLS and Heckman regression are used to estimate effect of internet information technology on income from different sources, which there is a significant positive impact. Meanwhile, the use of internet information technology has significant individual heterogeneity in different educational levels and age stages. What's more, the mechanism shows that the use of internet information technology reduces farmers' information search cost, forms a stronger price effect, expands the scope of market participation, and promotes human capital which increase farmers' different income.
Based on 793 farmers survey data in poverty areas, and discuss the effect of internet information technology on farmers' different income which include the heterogeneity and mechanism.The results show that the use of internet information technology has a significant effect on farmers' income. After eliminating the individual choice errors, it is estimated that the effects of internet information technology on farmers' total income, per capita net income, non-agricultural total income and agricultural total income are increasing 25.7%, 20.0%, 23.5% and 29.6% respectively. OLS and Heckman regression are used to estimate effect of internet information technology on income from different sources, which there is a significant positive impact. Meanwhile, the use of internet information technology has significant individual heterogeneity in different educational levels and age stages. What's more, the mechanism shows that the use of internet information technology reduces farmers' information search cost, forms a stronger price effect, expands the scope of market participation, and promotes human capital which increase farmers' different income.
引文
[1]FELDMAN D C,KLAAS B S.Internet job hunting:a field study of applicant experience with on-line recruiting[J].Human Resource Management,2002,41(2):175-192.
[2]马俊龙,宁光杰.互联网与中国农村劳动力非农就业[J].财经科学,2017(7):50-63.
[3]周洋,华语音.互联网与农村家庭创业:基于CFPS数据的实证分析[J].农业技术经济,2017(5):111-119.
[4]黄昊,舒何军.新媒体、社会资本与农民工的工作搜寻---基于长三角四市的调查分析[J].南京农业大学学报(社会科学版),2018(1):161-162.
[5]BONFADELLI H.The internet and knowledge gaps:a theoretical and empirical investigation[J].European Journal of Communication,200217(1):65-84.
[6]侯建昀,霍学喜.信息化能促进农户的市场参与吗?---来自中国苹果主产区的微观证据[J].财经研究,2017(1):134-144.
[7]APARAJITA G.Information,direct access to farmers,and rural market performance in central India[J].American Economic Journal:Applied Economics,2010,2(3):22-45.
[8]ROBERT,J.The digital provide:information(technology),market performance and welfare in the south India fisheries sector[J].The Quarterly Journal of Economics,2007,122(3):879-924.
[9]KYEONG H L,BELLEMARE M F.Look who’s talking:the impacts of the intrahousehold allocation of mobile phones on agricultural prices[J].Journal of Development Studies,2013,49(5):624-640.
[10]JOHN,J,CHARLES M,EMILY O.Transaction costs and smallholder farmers’participation in banana markets in the Great Lakes Region of Burundi,Rwanda and the Democratic Republic of Congo[J].Africa Journal of Agricultural Economics,2010,6(1):302-317.
[11]PAMPHILE K D.Transaction costs in the trading system of cashew nuts in the north of Benin:a field study[J].American Journal of Economics and Sociology,2012,71(2)277-297.
[12]马奔,温亚利.生态旅游对农户家庭收入影响研究---基于倾向得分匹配法的实证分析[J].中国人口·资源与环境,2016(10):152-160.
[13]ROSENBAUM P R,RUBIN D B.The centra role of the propensity score in observationa studies for causal effects[J].Biometrika,1983,70(1):41-55.
[14]杜振华.“互联网+”背景的信息基础设施建设愿景[J].改革,2015(10):113-120.
[15]胡金焱,李建文.“双创”背景的新型金融模式:解构P2P网络借贷[J].改革,2018(3):74-89.
[16]来有为,王开前.中国跨境电子商务发展形态、障碍性因素及其下一步[J].改革,2014(5):68-74.
[2]马俊龙,宁光杰.互联网与中国农村劳动力非农就业[J].财经科学,2017(7):50-63.
[3]周洋,华语音.互联网与农村家庭创业:基于CFPS数据的实证分析[J].农业技术经济,2017(5):111-119.
[4]黄昊,舒何军.新媒体、社会资本与农民工的工作搜寻---基于长三角四市的调查分析[J].南京农业大学学报(社会科学版),2018(1):161-162.
[5]BONFADELLI H.The internet and knowledge gaps:a theoretical and empirical investigation[J].European Journal of Communication,200217(1):65-84.
[6]侯建昀,霍学喜.信息化能促进农户的市场参与吗?---来自中国苹果主产区的微观证据[J].财经研究,2017(1):134-144.
[7]APARAJITA G.Information,direct access to farmers,and rural market performance in central India[J].American Economic Journal:Applied Economics,2010,2(3):22-45.
[8]ROBERT,J.The digital provide:information(technology),market performance and welfare in the south India fisheries sector[J].The Quarterly Journal of Economics,2007,122(3):879-924.
[9]KYEONG H L,BELLEMARE M F.Look who’s talking:the impacts of the intrahousehold allocation of mobile phones on agricultural prices[J].Journal of Development Studies,2013,49(5):624-640.
[10]JOHN,J,CHARLES M,EMILY O.Transaction costs and smallholder farmers’participation in banana markets in the Great Lakes Region of Burundi,Rwanda and the Democratic Republic of Congo[J].Africa Journal of Agricultural Economics,2010,6(1):302-317.
[11]PAMPHILE K D.Transaction costs in the trading system of cashew nuts in the north of Benin:a field study[J].American Journal of Economics and Sociology,2012,71(2)277-297.
[12]马奔,温亚利.生态旅游对农户家庭收入影响研究---基于倾向得分匹配法的实证分析[J].中国人口·资源与环境,2016(10):152-160.
[13]ROSENBAUM P R,RUBIN D B.The centra role of the propensity score in observationa studies for causal effects[J].Biometrika,1983,70(1):41-55.
[14]杜振华.“互联网+”背景的信息基础设施建设愿景[J].改革,2015(10):113-120.
[15]胡金焱,李建文.“双创”背景的新型金融模式:解构P2P网络借贷[J].改革,2018(3):74-89.
[16]来有为,王开前.中国跨境电子商务发展形态、障碍性因素及其下一步[J].改革,2014(5):68-74.