Do digital agricultural technology extension services promote the adoption of organomineral fertilizer use? Evidence from China
Xinyi NING, Yihan CHEN, Minjuan ZHAO
Do digital agricultural technology extension services promote the adoption of organomineral fertilizer use? Evidence from China
● Indiscriminate use of mineral fertilizers poses a significant threat to China’s implementation of UN Sustainable Development Goal 2 (SDG-2). | |
● Farmers who use the digital agricultural technology extension services (DATES) had a 7.2%–10.2% increase in the probability of adopting organomineral fertilizer (OMF). | |
● DATES enhanced OMF adoption through benefit-cognitive effects and transaction-cost effects. | |
● Heterogeneity analysis indicated that DATES had a substantial influence on farmers with higher social capital and elevated economic status. |
The development of Internet information technology has given digital agricultural technology extension services advantages over earlier agricultural technology extension models, rendering them more conducive to the pursuit of sustainable and environmentally friendly agricultural development. This study leveraged survey data from 1167 farmers in Shaanxi and Gansu Provinces and used the propensity score matching method to elucidate the impact and mechanism of the digital agricultural technology extension service on the adoption of organomineral fertilizer. The results indicate that farmers who had used digital agricultural technology extension services had a 7.2% to 10.2% increase in the probability of adopting organomineral fertilizer compared with their non-user counterparts. In addition, adoption intensity increased from 7.0% to 9.9%. Secondly, digital agricultural technology extension services indirectly influence farmer adoption behavior by shaping their perceptions of benefits and reducing transaction costs. Also, this study examined the heterogeneity in the adoption of organomineral fertilizer facilitated by digital agricultural technology extension services. The findings of this study provide policy recommendations for advancing the use of digital agricultural technology extension services and enhancing organomineral fertilize adoption rates of farmers.
Digital agricultural technology extension services / farmer perceptions / organomineral fertilizer
[1] |
Huang W Y, Lantin R M . A comparison of farmers’ compliance costs to reduce excess nitrogen fertilizer use under alternative policy options. Applied Economic Perspectives and Policy, 1993, 15(1): 51–62
|
[2] |
Link J, Graeff S, Batchelor W D, Claupein W . Evaluating the economic and environmental impact of environmental compensation payment policy under uniform and variable-rate nitrogen management. Agricultural Systems, 2006, 91(1−2): 135–153
CrossRef
Google scholar
|
[3] |
Burke W J, Frossard E, Kabwe S, Jayne T S . Understanding fertilizer adoption and effectiveness on maize in Zambia. Food Policy, 2019, 86: 101721
CrossRef
Google scholar
|
[4] |
Gao Y, Zhao D Y, Yu L L, Yang H R . Influence of a new agricultural technology extension mode on farmers’ technology adoption behavior in China. Journal of Rural Studies, 2020, 76: 173–183
CrossRef
Google scholar
|
[5] |
Forte A, Fagnano M, Fierro A . Potential role of compost and green manure amendment to mitigate soil GHGs emissions in Mediterranean drip irrigated maize production systems. Journal of Environmental Management, 2017, 192: 68–78
CrossRef
Google scholar
|
[6] |
Yi X Y, Yu L R, Chang S H E, Yin C B, Wang H, Zhang Z F . The effects of China’s organic-substitute-chemical-fertilizer (OSCF) policy on greenhouse vegetable farmers. Journal of Cleaner Production, 2021, 297: 126677
CrossRef
Google scholar
|
[7] |
Dong Y, Mu Y Y, Abler D . Do farmer professional cooperatives improve technical efficiency and income? Evidence from small vegetable farms in China. Journal of Agricultural and Applied Economics, 2019, 51(4): 591–605
CrossRef
Google scholar
|
[8] |
Zheng S, Yin K Q, Yu L H . Factors influencing the farmer’s chemical fertilizer reduction behavior from the perspective of farmer differentiation. Heliyon, 2022, 8(12): e11918
CrossRef
Google scholar
|
[9] |
Norton G W, Alwang J . Changes in agricultural extension and implications for farmer adoption of new practices. Applied Economic Perspectives and Policy, 2020, 42(1): 8–20
CrossRef
Google scholar
|
[10] |
Lun R Q, Liu W, Li G J, Luo Q Y . Does digital agricultural technology extension service enhance sustainable food production? Evidence from Maize Farmers in China. Agriculture, 2024, 14(2): 292
CrossRef
Google scholar
|
[11] |
Zheng H Y, Ma W L, Wang F, Li G C . Does internet use improve technical efficiency of banana production in China? Evidence from a selectivity-corrected analysis. Food Policy, 2021, 102(1): 102044
CrossRef
Google scholar
|
[12] |
Leng X . Digital revolution and rural family income: Evidence from China. Journal of Rural Studies, 2022, 94(3): 336–343
CrossRef
Google scholar
|
[13] |
Khan N, Ray R L, Zhang S M, Osabuohien E, Ihtisham M . Influence of mobile phone and internet technology on income of rural farmers: evidence from Khyber Pakhtunkhwa Province, Pakistan. Technology in Society, 2022, 68: 101866
CrossRef
Google scholar
|
[14] |
Zheng Y Y, Zhu T H, Jia W . Does internet use promote the adoption of agricultural technology? Evidence from 1449 farm households in 14 Chinese provinces. Journal of Integrative Agriculture, 2022, 21(1): 282–292
CrossRef
Google scholar
|
[15] |
Zhu X K, Hu R F, Zhang C, Shi G M . Does Internet use improve technical efficiency? Evidence from apple production in China. Technological Forecasting and Social Change, 2021, 166(6): 120662
CrossRef
Google scholar
|
[16] |
Khan Z A, Koondhar M A, Khan A, Zhang Z X, Ali U, Nurgazina Z, Liu T J . Exploring the impact of carbon emissions and co-macroeconomic determinants on China’s sustainable apple export. Environmental Science and Pollution Research International, 2023, 30(47): 104603–104619
CrossRef
Google scholar
|
[17] |
Yi X Y, Zou Q Q, Zhang Z W, Chang S H E . What motivates greenhouse vegetable farmers to adapt organic-substitute-chemical-fertilizer (OSCF)? An empirical study from Shandong, China. International Journal of Environmental Research and Public Health, 2023, 20(2): 1146
CrossRef
Google scholar
|
[18] |
Li Y J, Kahrl F, Pan J J, Roland-Holst D, Su Y F, Wilkes A, Xu J C . Fertilizer use patterns in Yunnan Province, China: implications for agricultural and environmental policy. Agricultural Systems, 2012, 110(8): 78–89
|
[19] |
Steinke J, Van Etten J, Müller A, Ortiz-Crespo B, van de Gevel J, Silvestri S, Priebe J . Tapping the full potential of the digital revolution for agricultural extension: an emerging innovation agenda. International Journal of Agricultural Sustainability, 2021, 19(5−6): 549–565
CrossRef
Google scholar
|
[20] |
Li F H, Zang D G, Chandio A A, Yang D M, Jiang Y S . Farmers’ adoption of digital technology and agricultural entrepreneurial willingness: evidence from China. Technology in Society, 2023, 73(2): 102253
CrossRef
Google scholar
|
[21] |
Mahmood N, Arshad M, Mehmood Y, Shahzad M F, Kächele H . Farmers’ perceptions and role of institutional arrangements in climate change adaptation: Insights from rainfed Pakistan. Climate Risk Management, 2021, 32: 100288
CrossRef
Google scholar
|
[22] |
Fabregas R, Kremer M, Lowes M, On R, Zane G. Digital information provision and behavior change: lessons from six experiments in East Africa. American Economic Journal: Applied Economics, 2024 [Published Online] doi:10.2139/ssrn.4710542
|
[23] |
Harou A P, Madajewicz M, Michelson H, Palm C A, Amuri N, Magomba C, Semoka J M, Tschirhart K, Weil R . The joint effects of information and financing constraints on technology adoption: Evidence from a field experiment in rural Tanzania. Journal of Development Economics, 2022, 155: 102707
CrossRef
Google scholar
|
[24] |
Buehren N, Goldstein M, Molina E, Vaillant J . The impact of strengthening agricultural extension services on women farmers: Evidence from Ethiopia. Agricultural Economics, 2019, 50(4): 407–419
CrossRef
Google scholar
|
[25] |
Fernando A N . Seeking the treated: the impact of mobile extension on farmer information exchange in India. Journal of Development Economics, 2021, 153(484): 102713
CrossRef
Google scholar
|
[26] |
Barroga K E T. Adoption of multi-component and preventive rice production technologies: a study of complexity in innovations. Dissertation for the Doctoral Degree. Perth: University of Western Australia, 2010
|
[27] |
Liu M, Min S, Ma W L, Liu T J . The adoption and impact of E-commerce in rural China: application of an endogenous switching regression model. Journal of Rural Studies, 2021, 83(1): 106–116
CrossRef
Google scholar
|
[28] |
Zhang X R, Zhang L, Nie T Z . Study on the impact of social capital on farmers’ decision-making behavior of adopting trusteeship services. Sustainability, 2023, 15(6): 5343
CrossRef
Google scholar
|
[29] |
Zhang S M, Sun Z L, Ma W L, Valentinov V . The effect of cooperative membership on agricultural technology adoption in Sichuan, China. China Economic Review, 2020, 62: 101334
CrossRef
Google scholar
|
[30] |
El-Shater T, Yigezu Y A, Mugera A, Piggin C, Haddad A, Khalil Y, Loss S, Aw-Hassan A . Does zero tillage improve the livelihoods of smallholder cropping farmers. Journal of Agricultural Economics, 2016, 67(1): 154–172
CrossRef
Google scholar
|
[31] |
Martey E, Wiredu A N, Etwire P M, Kuwornu J K M . The impact of credit on the technical efficiency of maize-producing households in Northern Ghana. Agricultural Finance Review, 2019, 79(3): 304–322
CrossRef
Google scholar
|
[32] |
Rosenbaum P R, Rubin D B . The central role of the propensity score in observational studies for causal effects. Biometrika, 1983, 70(1): 41–55
CrossRef
Google scholar
|
[33] |
Becker S O, Ichino A . Estimation of average treatment effects based on propensity scores. Stata Journal, 2002, 2(4): 358–377
CrossRef
Google scholar
|
[34] |
Dad J M, Abdollahi L . Changes in soil organic carbon, nitrogen and sulphur along a slope gradient in apple orchard soils of Kashmir Himalaya. Journal of Mountain Science, 2021, 18(9): 2377–2387
CrossRef
Google scholar
|
[35] |
Shi Q, Lai X D . Identifying the underpin of green and low carbon technology innovation research: a literature review from 1994 to 2010. Technological Forecasting and Social Change, 2013, 80(5): 839–864
CrossRef
Google scholar
|
[36] |
Ma W L, Abdulai A . Does cooperative membership improve household welfare? Evidence from apple farmers in China. Food Policy, 2016, 58: 94–102
CrossRef
Google scholar
|
[37] |
Cai Y, Qi W N, Yi F M . Mobile Internet adoption and technology adoption extensity: evidence from litchi growers in southern China. China Agricultural Economic Review, 2022, 14(1): 106–121
CrossRef
Google scholar
|
[38] |
Li K, Jin Y, Zhou J H . Are vulnerable farmers more easily influenced? Heterogeneous effects of internet use on the adoption of integrated pest management. Journal of Integrative Agriculture, 2023, 22(10): 3220–3233
CrossRef
Google scholar
|
[39] |
Zheng H Y, Ma W L . Smartphone-based information acquisition and wheat farm performance: insights from a doubly robust IPWRA estimator. Electronic Commerce Research, 2023, 23(2): 633–658
CrossRef
Google scholar
|
[40] |
Qiao H Z. Digital technology application and multidimensional inequality alleviation of rural households—From the research perspective of chronicity. Journal of Shanxi University of Finance and Economic, 2024, 46(5): 57−72 (in Chinese)
|
[41] |
Qiao D, Li N J, Cao L, Zhang D S, Zheng Y N, Xu T . How agricultural extension services improve farmers’ organic fertilizer use in China? The perspective of neighborhood effect and ecological cognition. Sustainability, 2022, 14(12): 7166
CrossRef
Google scholar
|
[42] |
Xu Z G, Zhang K R, Zhou L, Ying R Y . Mutual proximity and heterogeneity in peer effects of farmers’ technology adoption: evidence from China’s soil testing and formulated fertilization program. China Agricultural Economic Review, 2022, 14(2): 395–415
CrossRef
Google scholar
|
[43] |
Weng F L, Zhang Q Q, Huo X X. The impact of Internet use on farmland transfer of professional apple growers: an analysis of the mediation effect of information search, social capital and credit acquisition. China Land Science, 2021, 35(04): 63−71 (in Chinese)
|
/
〈 | 〉 |