Urban Expansion and Its Effect on Agricultural Technology Adoption of Smallholder Peri-Urban Farmers in Tigray Region, Ethiopia

Shishay Kahsay Weldearegay, Mesay Mulugeta Tefera, Solomon Tsehay Feleke

Abstract

In the rapidly growing world, where farming land is shrinking due to horizontal urban expansion and development-induced projects, agricultural productivity should grow by 70% to meet food needs. Spatial urban expansion in developing countries, not exceptional to Ethiopia, puts immense pressure by taking peri-urban fertile agricultural land for the purpose of development. This paper examines whether urban expansion increases or decreases the agricultural technology adoption capacity of smallholder peri-urban farmers. Households were clustered into displaced and non-displaced, and data were collected from 341 households, 101 of whom were displaced and 240 households were non-displaced. Descriptive statistics and econometric model were employed to explore the role of urban expansion in technology adoption of smallholder peri-urban farmers. The multivariate probit result shows that urban expansion decreases the tendency of displaced smallholder peri-urban farmers to participate in irrigation and adoption of a generator but urban expansion does not increase or decrease displaced households’ tendency to adopt beehive and practice row sawing. Generally, urban expansion decreases the affinity of smallholder peri-urban farmers to adopt agricultural technologies. Therefore, policymakers, particularly the Bureau of Agriculture should intensively work and train displaced smallholder peri-urban farmers on the benefit of agricultural technologies to improve agricultural productivity and use the remaining plot of farmland sustainably. Besides strong monitoring and follow-up are required to avert the negative ramifications of development-induced displacement.

Keywords

agricultural technology; displaced households; farm household; multivariate probit

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References

Abdullahi, H. S., Mahieddine, F., Sheriff, R. E. (2015). Technology impact on agricultural productivity: A review of precision agriculture using unmanned aerial vehicles. In: Pillai P., Hu Y., Otung I., Giambene G. (eds) Wireless and Satellite Systems. WiSATS 2015. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 154, 388–400. https://doi.org/10.1007/978-3-319-25479-1_29

Abebe, W., Puskur, R., & Karippai, R. S. (2008). Adopting improved box hive in Atsbi Wemberta district of Eastern Zone, Tigray Region: Determinants and financial benefits. Addis Ababa, Ethiopia: International Livestock Research Institute. 30 pp. Retrieved from https://cgspace.cgiar.org/bitstream/handle/10568/475/BoxHive_IPMSWP10.pdf.pdf?sequence=2&isAllowed=y

Adeoti, A. I. (2009). Factors influencing irrigation technology adoption and its impact on household poverty in Ghana. Journal of Agriculture and Rural Development in the Tropics and Subtropics, 109(1), 51–63. Retrieved from https://www.jarts.info/index.php/jarts/article/view/73

Admassie, A., & Ayele, G. (2010). Adoption of improved technology in Ethiopia. Ethiopian Journal of Economics, 19(1), 155–180. https://doi.org/10.4314/eje.v19i1.71416

Bekuma, A. (2018). Review on adoption of modern beehive technology and determinant factors in Ethiopia. Journal of Natural Sciences Research, 8(3), 26–29. Retrieved from https://www.iiste.org/Journals/index.php/JNSR/article/view/41219

Arslan, A., Floress, K., Lamanna, C., Lipper, L., Asfaw, S., & Rosenstock, T. (2020). IFAD research series 63 – The adoption of improved agricultural technologies: A meta-analysis for Africa (2020). Rome, Italy: International Fund for Agricultural Development (IFAD). Retrieved from https://ssrn.com/abstract=3795242

Awotide, B. A., Karimov, A. A., & Diagne, A. (2016). Agricultural technology adoption, commercialization and smallholder rice farmers’ welfare in rural Nigeria. Agricultural and Food Economics, 4(1), 1–24. https://doi.org/10.1186/s40100-016-0047-8

Boserup, E., & Chambers, R. (1965). The conditions of agricultural growth: The economics of agrarian change under population pressure (1st ed.). London: Routledge. https://doi.org/10.4324/9781315070360

Chemwok, C. K., Tuitoek, D. K., & Nganai, S. K. (2016). Factors influencing honey production in Marigat, Baringo County Kenya. International Journal of Research and Innovation in Social Science (IJRISS), 3(2), 426–434. Retrieved from https://www.rsisinternational.org/journals/ijriss/Digital-Library/volume-3-issue-2/426-434.pdf

Chochran, W. G. (1977). Sampling techniques (3rd ed). New York: John Wiley and Sons. Inc. Retrieved from https://glad.geog.umd.edu/Potapov/_Library/Cochran_1977_Sampling_Techniques_Third_Edition.pdf

Christiaensen, L., De Weerdt, J., & Todo, Y. (2013). Urbanization and poverty reduction: The role of rural diversification and secondary towns. Agricultural Economics, 44(4-5), 435–447. https://doi.org/10.1111/agec.12028

Chuchird, R., Sasaki, N., & Abe, I. (2017). Influencing factors of the adoption of agricultural irrigation technologies and the economic returns: A case study in Chaiyaphum Province, Thailand. Sustainability, 9(9), 1524. https://doi.org/10.3390/su9091524

CIMMYT Economics Program, International Maize, & Wheat Improvement Center. (1993). The adoption of agricultural technology: A guide for survey design. Mexico, D.F.: CIMMYT. Retrieved from https://repository.cimmyt.org/bitstream/handle/10883/895/42412.pdf?sequence=1&isAllowed=y

Creswell, J. W., Plano Clark, V. L., Gutmann, M., & Hanson, W. (2003). Advanced mixed methods research designs. In Tashakkori, A., & Teddle, C. (Eds.), Handbook of mixed methods in social and behavioral research (pp. 209-240). Thousand Oaks, CA: Sage. Retrieved from https://scholar.google.co.id/scholar?cluster=9762952061206456817&hl=id&as_sdt=2005&sciodt=0,5&authuser=3

de Janvry, A., Macours K., & Sadoulet, E. (2017). Learning for adopting: Technology adoption in developing country agriculture. Clermont-Ferrand, France: Ferdi. Retrieved from https://ferdi.fr/en/publications/learning-for-adopting-technology-adoption-in-developing-country-agriculture

Deksisa, K., & Bayissa, M. (2020). Determinants of small-scale irrigation use: The case of Jeldu District, West Shewa Zone, Oromia National Regional State, Ethiopia. Journal of Agricultural Economics and Rural Development, 6(1), 705–711. Retrieved from https://www.premierpublishers.org/articles/041120195335

Egidi, G., Halbac-Cotoara-Zamfir, R., Cividino, S., Quaranta, G., Salvati, L., & Colantoni, A. (2020). Rural in town: Traditional agriculture, population trends and long-term urban expansion in metropolitan Rome. Land, 9(2), 53. https://doi.org/10.3390/land9020053

Feola, G., Suzunaga, J., Soler, J., & Wilson, A. (2020). Peri-urban agriculture as quiet sustainability: Challenging the urban development discourse in Sogamoso, Colombia. Journal of Rural Studies, 80, 1–12. https://doi.org/10.1016/j.jrurstud.2020.04.032

Fetenssa, G. D. (2018). Determinants of adoption of improved box hive in Gambella Zuria District, southwest Ethiopia. [Master thesis]. Jimma, Ethiopia: Jimma University.

Getacher, T., Mesfin, A., & Gebre-Egziabher, G. (2013). Adoption and impacts of an irrigation technology: Evidence from household level data in Tigray, Northern Ethiopia. African Journal of Agricultural Research, 8(38), 4766–4772. Retrieved from https://academicjournals.org/journal/AJAR/article-full-text-pdf/60EDBB435698

Gill, G. (2002). Applications of appropriate agricultural technology and practices and their impact on food security and the eradication of Poverty: Lessons learned from selected community based experiences. London: Overseas Development Institute. Retrieved from https://cdn.odi.org/media/documents/1902.pdf

Gwan, A. S., & Kimengsi, J. N. (2020). Urban expansion and the dynamics of farmers’ livelihoods: Evidence from Bamenda, Cameroon. Sustainability, 12(14), 5788. https://doi.org/10.3390/su12145788

Happy, F. A., Begum, I. A., & Dhar, A. R. (2019). Impact of remittance on agricultural technology adoption and employment generation in Lakshmipur District of Bangladesh. American Journal of Agricultural and Biological Sciences, 14(1), 16–22. https://doi.org/10.3844/ajabssp.2019.16.22

Hosseinifarhangi, M., Turvani, M. E., van der Valk, A., & Carsjens, G. J. (2019). Technology-driven transition in urban food production practices: A case study of Shanghai. Sustainability, 11(21), 6070. https://doi.org/10.3390/su11216070

Jebesa, S. R. (2017). Assessment of factors affecting adoption of modern beehive in East Wolega Zone, Western Oromia. International Journal of Engineering Research & Technology, 6(1), 85–91. Retrieved from https://www.ijert.org/assessment-of-factors-affecting-adoption-of-modern-beehive-in-east-wolega-zone-western-oromia

Langemeyer, J., Madrid-Lopez, C., Mendoza Beltran, A., & Villalba Mendez, G. (2021). Urban agriculture — A necessary pathway towards urban resilience and global sustainability?. Landscape and Urban Planning, 210, 104055. https://doi.org/10.1016/j.landurbplan.2021.104055

Li, H., Huang, D., Ma, Q., Qi, W., & Li, H. (2020). Factors influencing the technology adoption behaviours of litchi farmers in China. Sustainability, 12(1), 271. https://doi.org/10.3390/su12010271

Meinzen-dick, R., Adato, M., Haddad, L., & Hazell, P. (2004). Food policy report, science and poverty: An interdisciplinary assessment of the impact of agricultural research. Washington, D.C.: International Food Policy Research Institute (IFPRI). Retrieved from https://ispc.cgiar.org/sites/default/files/pdf/104.pdf

Mekonnen, T. (2009). Impact of agricultural technology adoption on market participation in the rural social network system, Working Paper Series. Boschstraat Maastricht, Netherlands: UNU-MERIT. Retrieved from https://www.merit.unu.edu/publications/working-papers/abstract/?id=6353

Melisse, B. (2018). A review on factors affecting adoption of agricultural new technologies in Ethiopia. Journal of Agricultural Science and Food Research, 9(3), 226. Retrieved from https://www.longdom.org/open-access/a-review-on-factors-affecting-adoption-of-agricultural-new-technologiesin-ethiopia.pdf

Mengistu, T. (2016). Horizontal urban expansion and livelihood adjustment problem among ex-farmers in the Kebeles surrounding Jimma Town: The case of Derba Kebele. European Scientific Journal, 12(14), 308–328. https://doi.org/10.19044/esj.2016.v12n14p308

Muzari, W., Gatsi, W., & Muvhunzi, S. (2012). The impacts of technology adoption on smallholder agricultural productivity in Sub-Saharan Africa: A review. Journal of Sustainable Development, 5(8), 69–77. https://doi.org/10.5539/jsd.v5n8p69

National Metrological Agency of Ethiopia [NMAE]. (2019). Unpublished report.

Regassa, A. E. (2016). Determinants of agro pastoralists participation in irrigation scheme: The case of fentalle agro Pastoral District, Oromia Regional State, Ethiopia. International Journal of Agricultural Research, Innovation and Technology, 5(2), 44–50. https://doi.org/10.3329/ijarit.v5i2.26269

Rustiadi, E., Pravitasari, A. E., Setiawan, Y., Mulya, S. P., Pribadi, D. O., & Tsutsumida, N. (2021). Impact of continuous Jakarta megacity urban expansion on the formation of the Jakarta-Bandung conurbation over the rice farm regions. Cities, 111, 103000. https://doi.org/10.1016/j.cities.2020.103000

Sharaunga, S., & Mudhara, M. (2018). Determinants of farmers’ participation in collective maintenance of irrigation infrastructure in KwaZulu-Natal. Physics and Chemistry of the Earth, Parts A/B/C, 105, 265–273. https://doi.org/10.1016/j.pce.2018.02.014

Sisay, G. (2018). Determinants of female-headed households’ participation in periurban modern small-scale irrigation projects in Ethiopia: The case of Kobo Town. Irrigation and Drainage, 67(5), 670–683. https://doi.org/10.1002/ird.2283

Tamirat, N. (2020). Impact analysis of row planting teff crop technology on household welfare: A case study of smallholder farmers of Duna District in Hadiya Zone, Ethiopia. Journal of Economics and Sustainable Development, 11(5), 4–9. https://doi.org/10.7176/JESD/11-5-02

Tiffen, M. (2003). Transition in Sub-Saharan Africa: Agriculture, urbanization and income growth. World Development, 31(8), 1343–1366. https://doi.org/10.1016/S0305-750X(03)00088-3

Uchida, E., Rozelle, S., & Xu, J. (2009). Conservation payments, liquidity constraints and off-farm labor: Impact of the grain-for-green program on rural households in China. American Journal of Agricultural Economics, 91(1), 70–86. https://doi.org/10.1111/j.1467-8276.2008.01184.x

United Nations Development Programme. (2015). Sustainable development goals booklet. New York: United Nations Development Programme. Retrieved from https://www.undp.org/publications/sustainable-development-goals-booklet

Urgessa, Fekadu, B., & Chaneyalew, S. (2020). Factors affecting smallholder farmers participation and level of participation in small scale irrigation: The case of Deder District of Eastern Hararghe Zone, Ethiopia. International Journal of Advance Research Agriculture & Agribusiness, 8(3), 695–705. http://dx.doi.org/10.21474/IJAR01/10681

Weldearegay, S. K., Tefera, M. M., & Feleke, S. T. (2021). Impact of urban expansion to peri-urban smallholder farmers’ poverty in Tigray, North Ethiopia. Heliyon, 7(6), e07303. https://doi.org/10.1016/j.heliyon.2021.e07303

Woreda Office of Agriculture and Rural Development [WOARD]. (2019). Unpublished report.

World Bank. (2008). World development report 2008: Agriculture for development. Washington, D.C.: IBRD/World Bank Retrieved from https://www.ilo.org/public/libdoc/igo/P/03632/03632(2008).pdf

Young, G., Valdez, E. A., & Kohn, R. (2009). Multivariate probit models for conditional claim-types. Insurance: Mathematics and Economics, 44(2), 214–228. https://doi.org/10.1016/j.insmatheco.2008.11.004

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