Investigating the Role of Personalized Digital Extension Services on Agricultural Performance (A Case Study of Farmers in Fars Province)
الموضوعات :
Mohsen Moosaei
1
(Assistant Professor, Department of Agricultural Management, Gachsaran Branch, Islamic Azad University,
Gachsaran, Iran.)
Nina Afshari
2
(Graduate of Agricultural Management, Gachsaran Branch, Islamic Azad University, Gachsaran, Iran.)
تاريخ الإرسال : 25 الإثنين , جمادى الأولى, 1444
تاريخ التأكيد : 01 الثلاثاء , شعبان, 1444
تاريخ الإصدار : 09 الأربعاء , شعبان, 1444
الکلمات المفتاحية:
Income,
Commercialization,
Personalized digital extension services,
Agricultural performance,
ملخص المقالة :
This research aims to investigate the role of personalized digital extension services on agricultural performance (a case study of farmers in Fars province). In terms of the purpose of an applied research and based on the nature of the research data, it is considered a descriptive-survey research. The statistical population of this research included 287,863 farmers in Fars province. Morgan's table was used to calculate the sample size. According to this table, the sample size under investigation is 385 people. A panel of experts was used to determine the validity of the questionnaire and Cronbach's alpha test was used to calculate the reliability of the questionnaire. Its value for the whole questionnaire was 898, which shows that the questionnaire has good reliability. To analyze the research data in the descriptive statistics section of the mean, median, frequency and frequency percentage and in the inferential statistics section of the structural equation modeling method with the partial least squares approach (PLS SEM) in the three main sections of external model evaluation (examining the relationship between the question and the variable), the internal model (examining the relationship between the variables) and checking the fit of the model using SPSS 21 and Smart PLS 2 statistical software. The results of the research showed that personalized digital extension services have a positive and significant effect on agricultural performance, agricultural income, variety of product production, intensity of input consumption, product productivity, willingness to use technology and product commercialization of farmers in Fars province.
المصادر:
Abubakar Khidir, A., Oladimeji Oladele, I., & Ekpa, D. (2022). The Estimation Model of Determinant of Mobile Phone Apps’ Usage by Smallholder Farmers in North West Nigeria. International Journal of Agricultural Science, Research and Technology in Extension and Education Systems (IJASRT in EESs), 12(2), 81-88.
Aker J.C., & Ksoll C. (2016). Can mobile phones improve agricultural outcomes? Evidence from a randomized experiment in Niger. Food Policy, 60, 44–51. Available from: https://doi.org/10.1016/j.foodpol. 2015.03.006.
Aker J.C., & Fafchamps, M. (2014). Mobile phone coverage and producer markets: Evidence from West Africa. World Bank Econ Rev, 29(2), 262–92. Available from: https://doi.org/10.1093/wber/lhu006.
Aker J.C. (2011). Dial “A” for agriculture: A review of information and communication technologies for agricultural extension in developing countries. Agricultural Economics, 42, 631–647. Available from: https:// doi.org/10.1111/j.1574-0862.2011.00545. x.
Aker J.C., & Mbiti, I.M. (2010). Mobile phones and economic development in Africa. J Econ Perspect. 3, 207–32. Available from: https://www.aeaweb .org/articles? id=10. 1257/jep .24.3.207.
Bagheri, N. (2018). Information on the basis of the development of intelligent agriculture, Agricultural Information Science and Technology Quarterly, 2(1), 35-49.
Fafchamps, M., & Minten, B. (2012). Impact of SMS-based agricultural information on indian farmers. The World Bank Economic Review, 26(3), 383–414. https: //doi .org/ 10.1093/wber/lhr056
Fan, Q., & Salas Garcia, V.B. (2018). Information access and smallholder farmers’ market participation in Peru. J Agric EconJun 1; 69(2), 476–94. Available from: http: //doi. wiley.com/10.1111/1477-9552.12243.
(2017). Information and Communication Technology (ICT) in Agriculture: A Report to the G20 Agricultural Deputies. Rome: FAO.
Fu, X., & Akter, S. (2016). The impact of mobile phone technology on agricultural extension services delivery: Evidence from India. J Dev Stud. 2016 Nov 1; 52(11), 1561–76. Available from: https://doi.org/10.1080/ 00220388.2016.1146700.
Fielke, S., Taylor., B., & Jakku, E. (2020). Digitalisation of agricultural knowledge and advice networks: A state-of-the-art review. Agricultural Systems. Volume 180.
Key, N., Sadoulet, E., & de Janvry, A. Transactions costs and agricultural household supply response. Am J Agric Econ. 2000; 82(2), 245–59. Available from: https :// doi .org /10.1111/0002-9092.00022.
Kikulwe, EM., Fischer, E., & Qaim M. (2014). Mobile Money, Smallholder Farmers, and Household Welfare in Kenya. Mahal A, editor. PLoS One. Oct 6; 9(10):e109804. Available from: https://dx.plos.org/10. 1371/journal.pone.0109804. https:// doi. org/ 10. 1371/journal.pone.0109804 PMID: 25286032.
Kudama, G., Dangia, M., Wana, H., & Tadese, B. (2021). Will digital solution transform Sub-Sahara African agriculture? Artificial Intelligence in Agriculture, 5(6), DOI :10. 1016 /j. aiia. 12.001
Leng, C., Ma, W., Tang, J., & Zhu, Z. (2020). ICT adoption and income diversification among rural households in China. Appl Econ52:33, 3614–3628. Available from: https:// doi .org /10. 1080 /0003 68 46.2020. 1715338.
Madon, T., Gadgil, A.J., Anderson, R., Casaburi, L., Lee, K., & Rezaee, Arman. (2022). Introduction to Development Engineering, A Framework with Applications from the Field. United States Agency for International Development (USAID), https://doi.org/10.1007/978-3-030-86065-3.
McCampbell, M., McCampbell, J., Adewopo, L. K., & Cees, L. (2021). Are farmers ready to use phone-based digital tools for agronomic advice? Ex-ante user readiness assessment using the case of Rwandan banana farmers. The Journal of Agricultural Education and Extension, DOI: 10.1080/1389224X.2021.1984955.
Mellor, J.W., & Malik S.J. (2017). The impact of growth in small commercial farm productivity on rural poverty reduction. World Dev. 2017 Mar 1; 91:1–10. Available from: https:// doi. Org /10 .1016 /j. worlddev.2016.09.004.
Moosaei, M., & Seydenjad A. (2021). The Impact of Information and Communication Technology on Agricultural Systems and the Transition to Food Stability and Security (Case Study: Agricultural Jihad Organization, Khuzestan Province). International Journal of Agricultural Science, Research and Technology in Extension and Education Systems, 11(1), 41-53.
Muto, M. (2012). The impacts of mobile phones and personal networks on rural-to-urban migration: Evidence from Uganda. J Afr Econ, 21(5),787–807. Available from: https://doi.org/10.1093/jae/ejs009.
Muto M., & Yamano T. (2009). The impact of mobile phone coverage expansion on market participation: Panel data evidence from Uganda. World Dev. 37(12), 1887–96. Available from: https://doi.org/ 10.1016/j.worlddev.2009.05.004
Padhy, C., Reddy, M. D., Kumar Raj, R., & Pattanayak, K. (2022). Role of Digital Technology in Agriculture. Indian Journal of Natural Sciences, 13(71). https://www. researchgate.net/publication/360156670.
Parlasca, M.C., Mußhoff, O., & Qaim M. (2020). Can mobile phones improve nutrition among pastoral communities? Panel data evidence from Northern Kenya. Agric Econ. 51(3), 475–88. Available from: https:// doi.org/10.1111/agec.12566.
Rajkhowa P., & Qaim, M. (2021). Personalized digital extension services and agricultural performance: Evidence from smallholder farmers in India. PLoS ONE 16(10), e0259319. https: //doi. org/ 10. 1371 /journal.pone.0259319.
Rijswijk, K., Klerkx, L., & Turner, J. A. (2019). Digitalization in the New Zealand Agricultural Knowledge and Innovation System: Initial understandings and emerging organizational responses to digital agriculture. NJAS-Wageningen Journal of Life Sciences, 90, 100313.
Sebastian, A., & Jeyalakshmi, G. (2019). Use of Digital Tools for Horizontal Spread of Agricultural Technologies by Farmers of Kerala. Journal of Extension Education 31(4), 6411. DOI:10.26725/JEE.2019.4.31.6411-6416.
Sekabira, H., & Qaim, M. (2017). Mobile money, agricultural marketing, and off-farm income in Uganda. Agric Econ. 48(5):597–611. Available from: http:// doi. Wiley .com/ 10 .1111/agec.12360.
Sekabira, H., & Qaim M. (2017). Can mobile phones improve gender equality and nutrition? Panel data evidence from farm households in Uganda. Food Policy. Dec, 73, 95–103. Available from: https ://doi.org/10. 1016/j.foodpol.2017.10.004.
Shimamoto, D., Yamada, H., & Gummert M. (2015). Mobile phones and market information: Evidence from rural Cambodia.Food Policy. Nov1, 57,135–41. Available from: https: //doi.Org/10.1016/j. foodpol.2015. 10. 005
Ogutu, SO., & Qaim, M. (2019). Commercialization of the small farm sector and multidimensional poverty. World Dev. Feb 1, 114, 281–93. Available from: https: //doi .org /10.1016/j.worlddev.2018.10.012.
Torero, M., & von Braun, J. (2006). Information and Communication Technologies for Development and Poverty Reduction: The Potential of Telecommunications. Johns Hopkins University Press; 362 p.
Van Campenhout, B., Spielman, D. J., & Lecoutere, E. (2021). Information and Communication Technologies to Provide Agricultural Advice to Smallholder Farmers: Experimental 115Evidence from Uganda. American Journal of Agricultural Economics, 103(1), 317–337.https://doi.org/10.1002/ajae.12089
Van Campenhout, B., Vandevelde, S., Walukano, W., & Van Asten, P. (2017). Agricultural Extension Messages Using Video on Portable Devices Increased Knowledge about Seed Selection, Storage and Handling among Smallholder Potato Farmers in Southwester
Zanello, G. (2012). Mobile phones and radios: Effects on transactions costs and market participation for households in Northern Ghana. J Agric Econ. 2012 Sep 1; 63(3):694–714. Available from: http://doi.wiley. com/10.1111/j.1477-9552.2012.00352.x.
