There is a great deal of evidence suggesting that information and communication technology (ICT) and agricultural production outsourcing can improve farm productivity and farmers’ welfare. However, less is known about the relationship between modern ICT use and agricultural production outsourcing. Drawing upon a survey of 855 litchi growers from southern China, this study estimates the effect of smartphone use on farmers’ decisions regarding agricultural production outsourcing. A novel genetic matching method is employed to mitigate the selection bias associated with self-selected smartphone use. Our result confirms the positive role of smartphone use in increasing the number of production tasks outsourced by litchi growers. Moreover, smartphone users are more likely to outsource both labor-intensive and technology-intensive tasks than nonusers. In addition, the treatment effect of smartphone use varies with each specific litchi production task. Our findings highlight the importance of improving smartphone adoption among farmers to promote agricultural production outsourcing.
Aker, J.C. 2011. Dial ‘A’ for agriculture: a review of information and communication technologies for agricultural extension in developing countries. Agricultural Economics 42(6): 631-647.
'Dial ‘A’ for agriculture: a review of information and communication technologies for agricultural extension in developing countries ' () 42 Agricultural Economics : 631 -647.
Aker, J.C., I. Ghosh and J. Burrell. 2016. The promise (and pitfalls) of ICT for agriculture initiatives. Agricultural Economics 47(S1): 35-48.
'The promise (and pitfalls) of ICT for agriculture initiatives ' () 47 Agricultural Economics : 35 -48.
Austin, P.C. 2008. A critical appraisal of propensity-score matching in the medical literature between 1996 and 2003. Statistics in Medicine 27(12): 2037-2049.
'A critical appraisal of propensity-score matching in the medical literature between 1996 and 2003 ' () 27 Statistics in Medicine : 2037 -2049.
Beuermann, D.W. 2015. Information and communications technology, agricultural profitability and child labor in rural Peru. IDB Working Paper Series 454. Inter-American Development Bank (IDB), Washington, DC, USA.
'Information and communications technology, agricultural profitability and child labor in rural Peru. IDB Working Paper Series 454', ().
Cai, Y., W. Qi and F. Yi. 2022. Mobile internet adoption and technology adoption extensity: evidence from litchi growers in southern China. China Agricultural Economic Review 14(1): 106-121.
'Mobile internet adoption and technology adoption extensity: evidence from litchi growers in southern China ' () 14 China Agricultural Economic Review : 106 -121.
Campenhout, B.V., D.J. Spielman and E. Lecoutere. 2021. Information and communication technologies to provide agricultural advice to smallholder farmers: experimental evidence from Uganda. American Journal of Agricultural Economics 103(1): 317-337.
'Information and communication technologies to provide agricultural advice to smallholder farmers: experimental evidence from Uganda ' () 103 American Journal of Agricultural Economics : 317 -337.
Cochran, W.G. and D.B. Rubin. 1974. Controlling bias in observational studies: a review. Journal of Statistics, Series A 35(4): 417-446.
'Controlling bias in observational studies: a review ' () 35 Journal of Statistics, Series A : 417 -446.
Deng, X., D.-D. Xu, M. Zeng and Y. Qi. 2020. Does outsourcing affect agricultural productivity of farmer households? Evidence from China. China Agricultural Economic Review 12: 673-688.
'Does outsourcing affect agricultural productivity of farmer households? Evidence from China ' () 12 China Agricultural Economic Review : 673 -688.
Deng, X., D. Xu, M. Zeng and Y. Qi. 2019. Does internet use help reduce rural cropland abandonment? Evidence from China. Land Use Policy 89: 104243.
'Does internet use help reduce rural cropland abandonment? Evidence from China ' () 89 Land Use Policy : 104243 .
Diamond, A. and J.S. Sekhon. 2013. Genetic matching for estimating causal effects: a general multivariate matching method for achieving balance in observational studies. The Review of Economics and Statistics 95(3): 932-945.
'Genetic matching for estimating causal effects: a general multivariate matching method for achieving balance in observational studies ' () 95 The Review of Economics and Statistics : 932 -945.
Frey, S.M. 2014. The economic burden of schizophrenia in Germany: a population-based retrospective cohort study using genetic matching. European Psychiatry 29: 479-489.
'The economic burden of schizophrenia in Germany: a population-based retrospective cohort study using genetic matching ' () 29 European Psychiatry : 479 -489.
Jensen, R.T. 2010. Information, efficiency, and welfare in agricultural markets. Agricultural Economics 41(1): 203-216.
'Information, efficiency, and welfare in agricultural markets ' () 41 Agricultural Economics : 203 -216.
Ji, C., H. Guo, S. Jin and J. Yang. 2017. Outsourcing agricultural production: evidence from rice farmers in Zhejiang Province. PLoS ONE 12(1): e0170861.
'Outsourcing agricultural production: evidence from rice farmers in Zhejiang Province ' () 12 PLoS ONE : e0170861 .
Kiiza, B. and G. Pederson. 2012. ICT-based market information and adoption of agricultural seed technologies: insights from Uganda. Telecommunications Policy 36(4): 253-259.
'ICT-based market information and adoption of agricultural seed technologies: insights from Uganda ' () 36 Telecommunications Policy : 253 -259.
Larochelle, C., J. Alwang, E. Travis, V.H. Barrera and J.M.D. Andrade. 2019. Did you really get the message? Using text reminders to stimulate adoption of agricultural technologies. Journal of Development Studies 55(4): 548-564.
'Did you really get the message? Using text reminders to stimulate adoption of agricultural technologies ' () 55 Journal of Development Studies : 548 -564.
Leng, C., W. Ma, J. Tang and Z. Zhu. 2020. ICT adoption and income diversification among rural households in China. Applied Economics 52(33): 3614-3628.
'ICT adoption and income diversification among rural households in China ' () 52 Applied Economics : 3614 -3628.
Liu, Y., Y. Liu, Y. Chen and H. Long. 2010. The process and driving forces of rural hollowing in China under rapid urbanization. Journal of Geographical Sciences 20(6): 876-888.
'The process and driving forces of rural hollowing in China under rapid urbanization ' () 20 Journal of Geographical Sciences : 876 -888.
Ma, W., R.Q. Grafton and A. Renwick. 2018. Smartphone use and income growth in rural China: empirical results and policy implications. Electronic Commerce Research 20(4): 713-736.
'Smartphone use and income growth in rural China: empirical results and policy implications ' () 20 Electronic Commerce Research : 713 -736.
Ma, W., P. Nie, P. Zhang and A. Renwick. 2020a. Impact of Internet use on economic well-being of rural households: evidence from China. Review of Development Economics 24(2): 503-523.
'Impact of Internet use on economic well-being of rural households: evidence from China ' () 24 Review of Development Economics : 503 -523.
Ma, W. and X. Wang. 2020. Internet use, sustainable agricultural practices and rural incomes: evidence from China. Australian Journal of Agricultural and Resource Economics 64(4): 1087-1112.
'Internet use, sustainable agricultural practices and rural incomes: evidence from China ' () 64 Australian Journal of Agricultural and Resource Economics : 1087 -1112.
Ma, W., X. Zhou and M. Liu. 2020b. What drives farmers’ willingness to adopt e-commerce in rural China? The role of internet use. Agribusiness 36(1): 159-163.
'What drives farmers’ willingness to adopt e-commerce in rural China? The role of internet use ' () 36 Agribusiness : 159 -163.
Mi, Q., X. Li and J. Gao. 2020. How to improve the welfare of smallholders through agricultural production outsourcing: evidence from cotton farmers in Xinjiang, Northwest China. Journal of Cleaner Production 256: 120636.
'How to improve the welfare of smallholders through agricultural production outsourcing: evidence from cotton farmers in Xinjiang, Northwest China ' () 256 Journal of Cleaner Production : 120636 .
Min, S., M. Liu and J. Huang. 2020. Does the application of ICTs facilitate rural economic transformation in China? Empirical evidence from the use of smartphones among farmers. Journal of Asian Economics 70: 101219.
'Does the application of ICTs facilitate rural economic transformation in China? Empirical evidence from the use of smartphones among farmers ' () 70 Journal of Asian Economics : 101219 .
Nie, P., W. Ma and A. Sousa-Poza. 2020. The relationship between smartphone use and subjective well-being in rural China. Electronic Commerce Research 21: 983-1009.
'The relationship between smartphone use and subjective well-being in rural China ' () 21 Electronic Commerce Research : 983 -1009.
Ogutu, S.O., J.J. Okello and D.J. Otieno. 2014. Impact of information and communication technology-based market information services on smallholder farm input use and productivity: the case of Kenya. World Development 64: 311-321.
'Impact of information and communication technology-based market information services on smallholder farm input use and productivity: the case of Kenya ' () 64 World Development : 311 -321.
Okello, J.J., O.K. Kirui and Z.M. Gitonga. 2020. Participation in ICT-based market information projects, smallholder farmers’ commercialisation, and agricultural income effects: findings from Kenya. Development in Practice 30(8): 1043-1057.
'Participation in ICT-based market information projects, smallholder farmers’ commercialisation, and agricultural income effects: findings from Kenya ' () 30 Development in Practice : 1043 -1057.
Rosenbaum, P.R. and D.B. Rubin. 1983. The central role of the propensity score in observational studies for causal effects. Biometrika 70(1): 41-55.
'The central role of the propensity score in observational studies for causal effects ' () 70 Biometrika : 41 -55.
Sekhon, J.S. 2011. Multivariate and propensity score matching software with automated balance optimization: the matching package for R. Journal of Statistical Software 42(7): 1-52.
'Multivariate and propensity score matching software with automated balance optimization: the matching package for R ' () 42 Journal of Statistical Software : 1 -52.
Sekhon, J.S. and R.D. Grieve. 2012. A matching method for improving covariate balance in cost-effectiveness analyses. Health Economics 21(6): 695-714.
'A matching method for improving covariate balance in cost-effectiveness analyses ' () 21 Health Economics : 695 -714.
Shiferaw, B., T. Kebede, M. Kassie and M. Fisher. 2015. Market imperfections, access to information and technology adoption in Uganda: challenges of overcoming multiple constraints. Agricultural Economics 46(4): 475-488.
'Market imperfections, access to information and technology adoption in Uganda: challenges of overcoming multiple constraints ' () 46 Agricultural Economics : 475 -488.
Su, S., Z. Jiang, Q. Zhang and Y. Zhang. 2011. Transformation of agricultural landscapes under rapid urbanization: a threat to sustainability in Hang-Jia-Hu region, China. Applied Geography 31(2): 439-449.
'Transformation of agricultural landscapes under rapid urbanization: a threat to sustainability in Hang-Jia-Hu region, China ' () 31 Applied Geography : 439 -449.
Sun, D., M. Rickaille and Z. Xu. 2018. Determinants and impacts of outsourcing pest and disease management. China Agricultural Economic Review 10(3): 443-461.
'Determinants and impacts of outsourcing pest and disease management ' () 10 China Agricultural Economic Review : 443 -461.
Twumasi, M.A., Y. Jiang, D. Asante, B. Addai and P. Fosu. 2021. Internet use and farm households food and nutrition security nexus: the case of rural Ghana. Technology in Society 65: 101592.
'Internet use and farm households food and nutrition security nexus: the case of rural Ghana ' () 65 Technology in Society : 101592 .
Wang, J., K.Z. Chen, S.D. Gupta and Z. Huang. 2015. Is small still beautiful? A comparative study of rice farm size and productivity in China and India. China Agricultural Economic Review 7(3): 484-509.
'Is small still beautiful? A comparative study of rice farm size and productivity in China and India ' () 7 China Agricultural Economic Review : 484 -509.
Zhang, Q., B. Yan and X. Huo. 2018. What are the effects of participation in production outsourcing? Evidence from Chinese apple farmers. Sustainability 10(12): 4525.
'What are the effects of participation in production outsourcing? Evidence from Chinese apple farmers ' () 10 Sustainability : 4525 .
Zhang, X., J. Yang and R. Thomas. 2017. Mechanization outsourcing clusters and division of labor in Chinese agriculture. China Economic Review 43(1415): 184-195.
'Mechanization outsourcing clusters and division of labor in Chinese agriculture ' () 43 China Economic Review : 184 -195.
Zhao, Q., Y. Pan and X. Xia. 2021. Internet can do help in the reduction of pesticide use by farmers: evidence from rural China. Environmental Science and Pollution Research 28(6): 2063-2073.
'Internet can do help in the reduction of pesticide use by farmers: evidence from rural China ' () 28 Environmental Science and Pollution Research : 2063 -2073.
Zheng, H. and W. Ma. 2021a. Impact of ICT adoption on cosmetic expenditure of Chinese residents: an exploration accounting for urban-rural differentials. Applied Economics Letters.https://doi.org/10.1080/13504851.2021.1927953
Zheng, H. and W. Ma. 2021b. Smartphone-based information acquisition and wheat farm performance: insights from a doubly robust IPWRA estimator. Electronic Commerce Research.https://doi.org/10.1007/s10660-021-09481-0
Zheng, H., W. Ma, F. Wang and G.-C. Li. 2021. Does internet use improve technical efficiency of banana production in China? Evidence from a selectivity-corrected analysis. Food Policy 105: 102044.
'Does internet use improve technical efficiency of banana production in China? Evidence from a selectivity-corrected analysis ' () 105 Food Policy : 102044 .
Zhu, X., R.-F. Hu, C. Zhang and G. Shi. 2021a. Does internet use improve technical efficiency? Evidence from apple production in China. Technological Forecasting and Social Change 166: 120662.
'Does internet use improve technical efficiency? Evidence from apple production in China ' () 166 Technological Forecasting and Social Change : 120662 .
Zhu, Z., W. Ma and C. Leng. 2021b. ICT adoption and tourism consumption among rural residents in China. Tourism Economics. https://doi.org/10.1177/13548166211000478
Zhu, Z., W. Ma and C. Leng. 2020a. ICT adoption, individual income and psychological health of rural farmers in China. Applied Research in Quality of Life 17: 71-91.
'ICT adoption, individual income and psychological health of rural farmers in China ' () 17 Applied Research in Quality of Life : 71 -91.
Zhu, Z., W. Ma, A. Sousa-Poza and C. Leng. 2020b. The effect of internet usage on perceptions of social fairness: Evidence from rural China. China Economic Review 62: 101508.
'The effect of internet usage on perceptions of social fairness: Evidence from rural China ' () 62 China Economic Review : 101508 .
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There is a great deal of evidence suggesting that information and communication technology (ICT) and agricultural production outsourcing can improve farm productivity and farmers’ welfare. However, less is known about the relationship between modern ICT use and agricultural production outsourcing. Drawing upon a survey of 855 litchi growers from southern China, this study estimates the effect of smartphone use on farmers’ decisions regarding agricultural production outsourcing. A novel genetic matching method is employed to mitigate the selection bias associated with self-selected smartphone use. Our result confirms the positive role of smartphone use in increasing the number of production tasks outsourced by litchi growers. Moreover, smartphone users are more likely to outsource both labor-intensive and technology-intensive tasks than nonusers. In addition, the treatment effect of smartphone use varies with each specific litchi production task. Our findings highlight the importance of improving smartphone adoption among farmers to promote agricultural production outsourcing.
All Time | Past 365 days | Past 30 Days | |
---|---|---|---|
Abstract Views | 0 | 0 | 0 |
Full Text Views | 201 | 119 | 19 |
PDF Views & Downloads | 177 | 75 | 11 |