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Research Article

Can mechanized pesticide application help reduce pesticide use and increase crop yield? Evidence from rice farmers in Jiangsu province, China

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Article: 2227809 | Received 05 Sep 2022, Accepted 15 Jun 2023, Published online: 26 Jun 2023

References

  • Abebaw, D., & Haile, M. G. (2013). The impact of cooperatives on agricultural technology adoption: Empirical evidence from Ethiopia. Food Policy, 38, 82–91. https://doi.org/10.1016/j.foodpol.2012.10.003
  • Aida, T. (2018). Neighbourhood effects in pesticide use: Evidence from the rural philippines. Journal of Agricultural Economics, 69(1), 163–181. https://doi.org/10.1111/1477-9552.12230
  • Aina, C., & Sonedda, D. (2022). Sooner or later? The impact of child education on household consumption. Empirical Economics, 63(4), 2071–2099. https://doi.org/10.1007/s00181-021-02184-3
  • Andersson, E., & Isgren, E. (2021). Gambling in the garden: Pesticide use and risk exposure in Ugandan smallholder farming. Journal of Rural Studies, 82, 76–86. https://doi.org/10.1016/j.jrurstud.2021.01.013
  • Ankrah Twumasi, M., Jiang, Y., Addai, B., Asante, D., Liu, D., & Ding, Z. (2021). Determinants of household choice of cooking energy and the effect of clean cooking energy consumption on household members’ health status: The case of rural Ghana. Sustainable Production and Consumption, 28, 484–495. https://doi.org/10.1016/j.spc.2021.06.005
  • Aryal, J. P., Rahut, D. B., Thapa, G., & Simtowe, F. (2021). Mechanisation of small-scale farms in South Asia: Empirical evidence derived from farm households survey. Technology in Society, 65, 101591. https://doi.org/10.1016/j.techsoc.2021.101591
  • Baiyegunhi, L. J. S., Majokweni, Z. P., & Ferrer, S. R. D. (2019). Impact of outsourced agricultural extension program on smallholder farmers’ net farm income in Msinga, KwaZulu-Natal, South Africa. Technology in Society, 57, 1–7. https://doi.org/10.1016/j.techsoc.2018.11.003
  • Baum, C. F. (2016). Conditional mixed-process models.
  • Belton, B., Win, M. T., Zhang, X., & Filipski, M. (2021). The rapid rise of agricultural mechanization in Myanmar. Food Policy, 101, 102095. https://doi.org/10.1016/j.foodpol.2021.102095
  • Cai, L., & Wang, L. (2021). Analysis on outsourcing service behavior of rice pest and disease control based on Heckman selection model—A case study of ten counties in Fujian Province. PLoS One, 16, 1–17. https://doi.org/10.1371/journal.pone.0254819
  • Choudhary, S., Raheja, N., Kumar, S., Kamboj, M., & Sharma, A. (2018). A review: Pesticide residue: Cause of many animal health problems. J. Entomol. Zool. Stud, 6, 330–333.
  • CMIIRI. (2019). China Agricultural Machinery Industry Yearbook 2019. China machine press.
  • Danso-Abbeam, G., & Baiyegunhi, L. J. S. (2018). Welfare impact of pesticides management practices among smallholder cocoa farmers in Ghana. Technology in Society, 54, 10–19. https://doi.org/10.1016/j.techsoc.2018.01.011
  • Daum, T., Adegbola, P. Y., Adegbola, C., Daudu, C., Issa, F., Kamau, G., Kergna, A. O., Mose, L., Ndirpaya, Y., Fatunbi, O., Zossou, R., Kirui, O., & Birner, R. (2022). Mechanization, digitalization, and rural youth - Stakeholder perceptions on three mega-topics for agricultural transformation in four African countries. Global Food Security, 32, 100616. https://doi.org/10.1016/j.gfs.2022.100616
  • Davis, J., & Lopez-Carr, D. (2014). Migration, remittances and smallholder decision-making: Implications for land use and livelihood change in Central America. Land use Policy, 36, 319–329. https://doi.org/10.1016/j.landusepol.2013.09.001
  • De Los Rios, C. (2022). The double fence: Overlapping institutions and deforestation in the Colombian Amazon. Ecological Economics, 193, 107274. https://doi.org/10.1016/j.ecolecon.2021.107274
  • Deng, X., Xu, D., Zeng, M., & Qi, Y. (2020). Does outsourcing affect agricultural productivity of farmer households? Evidence from China. China Agricultural Economic Review, 12(4), 673–688. https://doi.org/10.1108/CAER-12-2018-0236
  • Global agriculture towards 2050. (2009). Rome.
  • Jaraite, J., & Kažukauskas, A. (2012). The effect of mandatory agro-environmental policy on farm fertiliser and pesticide expenditure. Journal of Agricultural Economics, 63(3), 656–676. https://doi.org/10.1111/j.1477-9552.2012.00346.x
  • Ji, C., Guo, H., Jin, S., & Yang, J. (2017). Outsourcing agricultural production: Evidence from rice farmers in Zhejiang province. PLoS One, 12, e0170861–16. https://doi.org/10.1371/journal.pone.0170861
  • Jin, S., & Zhou, F. (2018). Zero growth of chemical fertilizer and pesticide Use: China’s objectives, progress and challenges. Journal of Resources and Ecology, 9, 50–58. https://doi.org/10.5814/j.issn.1674-764x.2018.01.006
  • Johnsson, I., & Moon, H. R. (2021). Estimation of peer effects in endogenous social networks: Control function approach. The Review of Economics and Statistics, 103(2), 328–345. https://doi.org/10.1162/rest_a_00870
  • Kaiser, A., & Burger, P. (2022). Understanding diversity in farmers’ routinized crop protection practices. Journal of Rural Studies, 89, 149–160. https://doi.org/10.1016/j.jrurstud.2021.12.002
  • Khanal, U., Wilson, C., Hoang, V. N., & Lee, B. (2018). Farmers’ adaptation to climate change, its determinants and impacts on rice yield in Nepal. Ecological Economics, 144, 139–147. https://doi.org/10.1016/j.ecolecon.2017.08.006
  • Li, H., Yuan, K., Cao, A., Zhao, X., & Guo, L. (2022). The role of crop insurance in reducing pesticide use: Evidence from rice farmers in China. Journal of Environmental Management, 306, 114456. https://doi.org/10.1016/j.jenvman.2022.114456
  • Li, J., Vatsa, P., & Ma, W. (2023a). Small acts with big impacts: Does garbage classification improve subjective well-being in rural China? Applied Research in Quality of Life, https://doi.org/10.1007/s11482-022-10142-z
  • Li, Q., Wang, J., Wu, J., & Zhai, Q. (2023b). The dual impacts of specialized agricultural services on pesticide application intensity: Evidence from China. Pest Management Science, 79(1), 76–87. https://doi.org/10.1002/ps.7174
  • Lin, B., & Okyere, M. A. (2021). Does energy poverty affect the well-being of people: Evidence from Ghana. Sustainable Production and Consumption, 28, 675–685. https://doi.org/10.1016/j.spc.2021.06.031
  • Ma, W., Abdulai, A., & Goetz, R. (2018). Agricultural cooperatives and investment in organic soil amendments and chemical fertilizer in China. American Journal of Agricultural Economics, 100(2), 502–520. https://doi.org/10.1093/ajae/aax079
  • Ma, W., Renwick, A., & Grafton, Q. (2018). Farm machinery use, off-farm employment and farm performance in China. Australian Journal of Agricultural and Resource Economics, 62(2), 279–298. https://doi.org/10.1111/1467-8489.12249
  • Ma, W., & Zheng, H. (2022). Heterogeneous impacts of information technology adoption on pesticide and fertiliser expenditures: Evidence from wheat farmers in China. Australian Journal of Agricultural and Resource Economics, 66(1), 72–92. https://doi.org/10.1111/1467-8489.12446
  • Ma, W., Zhu, Z., & Zhou, X. (2022). Agricultural mechanization and cropland abandonment in rural China. Applied Economics Letters, 29(6), 526–533. https://doi.org/10.1080/13504851.2021.1875113
  • Ma, Y., Yun, X., Ruan, Z., Lu, C., Shi, Y., Qin, Q., Men, Z., Zou, D., Du, X., Xing, B., & Xie, Y. (2020). Review of hexachlorocyclohexane (HCH) and dichlorodiphenyltrichloroethane (DDT) contamination in Chinese soils. Science of The Total Environment, 749, 141212. https://doi.org/10.1016/j.scitotenv.2020.141212
  • Mano, Y., Takahashi, K., & Otsuka, K. (2020). Mechanization in land preparation and agricultural intensification: The case of rice farming in the Cote d’Ivoire. Agricultural Economics, 51(6), 899–908. https://doi.org/10.1111/agec.12599
  • Meftaul, I. M., Venkateswarlu, K., Parven, A., Annamalai, P., & Megharaj, M. (2023). Human health risk assessment of pesticides in lettuce and spinach grown in urban backyard garden soils. Journal of Food Composition and Analysis, 115, 104977. https://doi.org/10.1016/j.jfca.2022.104977
  • Nanjing Iinstitued of Agricultural Mechanization. (2019). China Agricultural Mechanization Yearbook. Publisher: China Machine Press .
  • NSBC. (2021). Statistics Yearbook of China (2021). National Bureau of Statistics.
  • Paudel, G. P., KC, D. B., Rahut, D. B., Justice, S. E., & McDonald, A. J. (2019). Scale-appropriate mechanization impacts on productivity among smallholders: Evidence from rice systems in the mid-hills of Nepal. Land use Policy, 85, 104–113. https://doi.org/10.1016/j.landusepol.2019.03.030
  • Qian, L., Hua, L., Gao, Q., & Lu, H. (2022). Household-owned farm machinery vs. outsourced machinery services: The impact of agricultural mechanization on the land leasing behavior of relatively large-scale farmers in China. Land use Policy, 115, 106008. https://doi.org/10.1016/j.landusepol.2022.106008
  • Qiu, T., & Luo, B. (2021). Do small farms prefer agricultural mechanization services? Evidence from wheat production in China. Applied Economics, 53(26), 2962–2973. https://doi.org/10.1080/00036846.2020.1870656
  • Qu, X., Kojima, D., Nishihara, Y., Wu, L. p., & Ando, M. (2021). Can harvest outsourcing services reduce field harvest losses of rice in China? Journal of Integrative Agriculture, 20(5), 1396–1406. https://doi.org/10.1016/S2095-3119(20)63263-4
  • Sun, D., Rickaille, M., & Xu, Z. (2018). Determinants and impacts of outsourcing pest and disease management: Evidence from China’s rice production. China Agricultural Economic Review, 10(3), 443–461. https://doi.org/10.1108/CAER-01-2017-0011
  • Thuo, M., Bell, A. a., Bravo-Ureta, B. E., Lachaud, M. a., Okello, D. K., Okoko, E. N., Kidula, N. L., Deom, C. M., & Puppala, N. (2014). Effects of social network factors on information acquisition and adoption of improved groundnut varieties: The case of Uganda and Kenya. Agriculture and Human Values, 31(3), 339–353. https://doi.org/10.1007/s10460-014-9486-6
  • Wang, G., Han, Y., Li, X., Andaloro, J., Chen, P., Hoffmann, W. C., Han, X., Chen, S., & Lan, Y. (2020a). Field evaluation of spray drift and environmental impact using an agricultural unmanned aerial vehicle (UAV) sprayer. Science of The Total Environment, 737, 139793. https://doi.org/10.1016/j.scitotenv.2020.139793
  • Wang, Y., Wang, Y., & Zhu, Y. (2020b). What could encourage farmers to choose non-chemical pest management ? Evidence from apple growers on the Loess Plateau of China. Crop Protection, 114, 53–59. https://doi.org/10.1016/j.cropro.2018.08.015
  • Wei, X., Zhao, L., Qiao, Y., Wang, B., Wan, M., & Toepfer, S. (2019). Implementing agri-policies on pesticide reduction through subsidies and plant clinics in China, CABI working paper 13. https://doi.org/10.1079/CABICOMM-62-8118.
  • Wolf, C. A. (2003). Custom dairy heifer grower industry characteristics and contract terms. Journal of Dairy Science, 86(9), 3016–3022. https://doi.org/10.3168/jds.S0022-0302(03)73900-9
  • Wooldridge, J. M. W. (2015). Control function methods in applied econometrics. Journal of Human Resources, 50(2), 420–445. https://doi.org/10.3368/jhr.50.2.420
  • Yang, J., Huang, Z., Zhang, X., & Reardon, T. (2013). The rapid rise of cross-regional agricultural mechanization services in China. American Journal of Agricultural Economics, 95(5), 1245–1251. https://doi.org/10.1093/ajae/aat027
  • Zhang, C., Hu, R., Huang, J., Huang, X., Shi, G., Li, Y., Yin, Y., & Chen, Z. (2016). Health effect of agricultural pesticide use in China: Implications for the development of GM crops. Scientific Reports, 6(1), 1–8. https://doi.org/10.1038/s41598-016-0001-8
  • Zhang, J., Wang, J., & Zhou, X. (2019). Farm machine Use and pesticide expenditure in maize production: Health and environment implications. International Journal of Environmental Research and Public Health, 16(10), 1808. https://doi.org/10.3390/ijerph16101808
  • Zhao, Q., Pan, Y., & Xia, X. (2021). Internet can do help in the reduction of pesticide use by farmers: evidence from rural China. Environmental Science and Pollution Research, 28(2), 2063–2073. https://doi.org/10.1007/s11356-020-10576-8
  • Zheng, H., Ma, W., & Zhou, X. (2021). Renting-in cropland, machinery use intensity, and land productivity in rural China. Applied Economics, 53(47), 5503–5517. https://doi.org/10.1080/00036846.2021.1923642
  • Zheng, S., Wang, Z., & Wachenheim, C. J. (2019). Technology adoption among farmers in Jilin Province, China: The case of aerial pesticide application. China Agricultural Economic Review, 11(1), 206–216. https://doi.org/10.1108/CAER-11-2017-0216
  • Zhong, Z., & Peng, B. (2022). Can environmental regulation promote green innovation in heavily polluting enterprises? Empirical evidence from a quasi-natural experiment in China. Sustainable Production and Consumption, 30, 815–828. https://doi.org/10.1016/j.spc.2022.01.017
  • Zhou, X., Ma, W., & Li, G. (2020). Farm machinery use and maize yields in China: an analysis accounting for selection bias and heterogeneity. Australian Journal of Agricultural and Resource Economics, 64(4), 1282–1307. https://doi.org/10.1111/1467-8489.12395
  • Zhou, X., Ma, W., Li, G., & Qiu, H. (2020). Farm machinery use and maize yields in China: an analysis accounting for selection bias and heterogeneity. Australian Journal of Agricultural and Resource Economics, 64(4), 1282–1307. https://doi.org/10.1111/1467-8489.12395
  • Zhu, Z., Ma, W., Sousa-Poza, A., & Leng, C. (2020). The effect of internet usage on perceptions of social fairness: Evidence from rural China. China Economic Review, 62, 101508. https://doi.org/10.1016/j.chieco.2020.101508