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Determinants and Impact of Solar Irrigation Facility (SIF) Adoption: A Case Study in Northern Bangladesh

Author

Listed:
  • Faruque As Sunny

    (School of Management, Zhejiang University, Hangzhou 310058, China)

  • Linlin Fu

    (Institute of Rural Development, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China)

  • Md Sadique Rahman

    (Department of Management and Finance, Sher-e-Bangla Agricultural University, Dhaka 1207, Bangladesh)

  • Zuhui Huang

    (China Academy of Rural Development, Zhejiang University, Hangzhou 310058, China)

Abstract

Insufficient rainfall in the dry season and scarcity of surface water has resulted in firms’ reliance on groundwater for agriculture in the northern part of Bangladesh. Most irrigation systems in the country are diesel or electric, which raises the cost and demand for energy and pollutes the environment. Utilizing the abundant sunshine and disseminating solar-based irrigation systems is expected to be a fittingly rewarding experience for irrigation purposes. Therefore, this study identifies the factors influencing the adoption of solar irrigation facilities (SIFs) and the impacts of their adoption on irrigation cost, return on investment (ROI), and production costs, using survey data collected from 405 rice farmers of Dinajpur district. The study employed three treatment effect estimators, namely inverse probability weighting (IPW), regression adjustment (RA), and inverse probability weighted regression adjustment (IPWRA), to address the potential selection bias issue. The results revealed that farming experience, knowledge, environmental awareness, soil fertility, and irrigation machinery ownership significantly influenced adoption decisions. The treatment effect model result indicated that farmers who adopted this method could minimize irrigation costs by 1.88 to 2.22%, obtain 4.48 to 8.16% higher ROI, and reduce total production cost by 0.06 to 0.98% compared to non-adopters. Our findings suggested that policy interventions targeting scaling up SIFs should consider focusing on government and stakeholders’ greater attention on designing more appropriate schemes through experimentation and multiple iterations.

Suggested Citation

  • Faruque As Sunny & Linlin Fu & Md Sadique Rahman & Zuhui Huang, 2022. "Determinants and Impact of Solar Irrigation Facility (SIF) Adoption: A Case Study in Northern Bangladesh," Energies, MDPI, vol. 15(7), pages 1-17, March.
  • Handle: RePEc:gam:jeners:v:15:y:2022:i:7:p:2460-:d:780746
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    as
    1. Joshua D. Angrist & Alan B. Krueger, 2001. "Instrumental Variables and the Search for Identification: From Supply and Demand to Natural Experiments," Journal of Economic Perspectives, American Economic Association, vol. 15(4), pages 69-85, Fall.
    2. Gershon Feder & Roger Slade, 1984. "The Acquisition of Information and the Adoption of New Technology," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 66(3), pages 312-320.
    3. Manda, J. & Gardebroek, C. & Kuntashula, E. & Alene, A.D., 2018. "Impact of Improved Maize Varieties on Food Security in Eastern Zambia: a doubly robust analysis," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277004, International Association of Agricultural Economists.
    4. Araya, G.B. & Holden, S.T., 2018. "The Impact of Ethiopia s Productive Safety Net Program on Fertilizer Adoption by Small Holder Farmers in Tigray, Northern Ethiopia," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277051, International Association of Agricultural Economists.
    5. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, April.
    6. Kleemann, Linda & Abdulai, Awudu & Buss, Mareike, 2014. "Certification and Access to Export Markets: Adoption and Return on Investment of Organic-Certified Pineapple Farming in Ghana," World Development, Elsevier, vol. 64(C), pages 79-92.
    7. Asfaw, Solomon & Shiferaw, Bekele & Simtowe, Franklin & Lipper, Leslie, 2012. "Impact of modern agricultural technologies on smallholder welfare: Evidence from Tanzania and Ethiopia," Food Policy, Elsevier, vol. 37(3), pages 283-295.
    8. Feder, Gershon & Just, Richard E & Zilberman, David, 1985. "Adoption of Agricultural Innovations in Developing Countries: A Survey," Economic Development and Cultural Change, University of Chicago Press, vol. 33(2), pages 255-298, January.
    9. Mendola, Mariapia, 2007. "Agricultural technology adoption and poverty reduction: A propensity-score matching analysis for rural Bangladesh," Food Policy, Elsevier, vol. 32(3), pages 372-393, June.
    10. César Salazar & John Rand, 2016. "Production risk and adoption of irrigation technology: evidence from small-scale farmers in Chile," Latin American Economic Review, Springer;Centro de Investigaciòn y Docencia Económica (CIDE), vol. 25(1), pages 1-37, December.
    11. Baidu-Forson, J., 1999. "Factors influencing adoption of land-enhancing technology in the Sahel: lessons from a case study in Niger," Agricultural Economics, Blackwell, vol. 20(3), pages 231-239, May.
    12. Rana, Jaber & Kamruzzaman, M. & Hosain Oliver, Moinul & Akhi, Kaynath, 2021. "Financial and factors demand analysis of solar powered irrigation system in Boro rice production: A case study in Meherpur district of Bangladesh," Renewable Energy, Elsevier, vol. 167(C), pages 433-439.
    13. Pramila Krishnan & Manasa Patnam, 2014. "Neighbors and Extension Agents in Ethiopia: Who Matters More for Technology Adoption?," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 96(1), pages 308-327.
    14. Pratap S. Birthal & Shiv Kumar & Digvijay S. Negi & Devesh Roy, 2015. "The impacts of information on returns from farming: evidence from a nationally representative farm survey in India," Agricultural Economics, International Association of Agricultural Economists, vol. 46(4), pages 549-561, July.
    15. Guido W. Imbens & Jeffrey M. Wooldridge, 2009. "Recent Developments in the Econometrics of Program Evaluation," Journal of Economic Literature, American Economic Association, vol. 47(1), pages 5-86, March.
    16. Mariano, Marc Jim & Villano, Renato & Fleming, Euan, 2012. "Factors influencing farmers’ adoption of modern rice technologies and good management practices in the Philippines," Agricultural Systems, Elsevier, vol. 110(C), pages 41-53.
    17. Mitra, Archisman & Alam, Mohammad Faiz & Yashodha, Yashodha, 2021. "Solar irrigation in Bangladesh: a situation analysis report," IWMI Books, Reports H050618, International Water Management Institute.
    18. repec:fth:prinin:455 is not listed on IDEAS
    19. Genius, Margarita & Koundouri, Phoebe & Nauges, Celine & Tzouvelekas, Vangelis, 2013. "Information Spillovers in Irrigation Technology Diffusion: Social Learning, Extension Visits and Spatial Effects," MPRA Paper 122342, University Library of Munich, Germany.
    20. Hui Li & Diejun Huang & Qiuzhuo Ma & Wene Qi & Hua Li, 2019. "Factors Influencing the Technology Adoption Behaviours of Litchi Farmers in China," Sustainability, MDPI, vol. 12(1), pages 1-13, December.
    21. Ratchaneewan Chuchird & Nophea Sasaki & Issei Abe, 2017. "Influencing Factors of the Adoption of Agricultural Irrigation Technologies and the Economic Returns: A Case Study in Chaiyaphum Province, Thailand," Sustainability, MDPI, vol. 9(9), pages 1-16, August.
    22. Thomas Fellmann & Peter Witzke & Franz Weiss & Benjamin Van Doorslaer & Dusan Drabik & Ingo Huck & Guna Salputra & Torbjörn Jansson & Adrian Leip, 2018. "Major challenges of integrating agriculture into climate change mitigation policy frameworks," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 23(3), pages 451-468, March.
    23. Guido W. Imbens, 2004. "Nonparametric Estimation of Average Treatment Effects Under Exogeneity: A Review," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 4-29, February.
    24. Schwanitz, Valeria Jana & Piontek, Franziska & Bertram, Christoph & Luderer, Gunnar, 2014. "Long-term climate policy implications of phasing out fossil fuel subsidies," Energy Policy, Elsevier, vol. 67(C), pages 882-894.
    25. Bairagi, Subir K. & Bhandari, Humnath & Das, Subrata & Mohanty, Samarendu, 2018. "Impact of Submergence-Tolerant Rice Varieties on Smallholders’ Income and Expenditure: Farm-Level Evidence from Bangladesh," 2018 Annual Meeting, August 5-7, Washington, D.C. 274356, Agricultural and Applied Economics Association.
    26. Zeng, Di & Alwang, Jeffrey & Norton, George & Jaleta, Moti & Shiferaw, Bekele & Yirga, Chilot, 2018. "Land ownership and technology adoption revisited: Improved maize varieties in Ethiopia," Land Use Policy, Elsevier, vol. 72(C), pages 270-279.
    27. Caswell, Margriet & Fuglie, Keith O. & Ingram, Cassandra & Jans, Sharon & Kascak, Catherine, 2001. "Adoption of Agricultural Production Practices: Lessons Learned from the U.S. Department of Agriculture Area Studies Project," Agricultural Economic Reports 33985, United States Department of Agriculture, Economic Research Service.
    28. Margarita Genius & Phoebe Koundouri & Céline Nauges & Vangelis Tzouvelekas, 2014. "Information Transmission in Irrigation Technology Adoption and Diffusion: Social Learning, Extension Services, and Spatial Effects," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 96(1), pages 328-344.
    29. Wooldridge, Jeffrey M., 2007. "Inverse probability weighted estimation for general missing data problems," Journal of Econometrics, Elsevier, vol. 141(2), pages 1281-1301, December.
    30. Hoyos, David, 2010. "The state of the art of environmental valuation with discrete choice experiments," Ecological Economics, Elsevier, vol. 69(8), pages 1595-1603, June.
    31. Njabulo Lloyd Ntshangase & Brian Muroyiwa & Melusi Sibanda, 2018. "Farmers’ Perceptions and Factors Influencing the Adoption of No-Till Conservation Agriculture by Small-Scale Farmers in Zashuke, KwaZulu-Natal Province," Sustainability, MDPI, vol. 10(2), pages 1-16, February.
    32. Kelvin J. Lancaster, 1966. "A New Approach to Consumer Theory," Journal of Political Economy, University of Chicago Press, vol. 74(2), pages 132-132.
    33. Nassul Ssentamu Kabunga & Thomas Dubois & Matin Qaim, 2012. "Heterogeneous information exposure and technology adoption: the case of tissue culture bananas in Kenya," Agricultural Economics, International Association of Agricultural Economists, vol. 43(5), pages 473-486, September.
    34. Liu, Wenling & Wang, Can & Mol, Arthur P.J., 2013. "Rural public acceptance of renewable energy deployment: The case of Shandong in China," Applied Energy, Elsevier, vol. 102(C), pages 1187-1196.
    35. Ndiritu, S. Wagura & Kassie, Menale & Shiferaw, Bekele, 2014. "Are there systematic gender differences in the adoption of sustainable agricultural intensification practices? Evidence from Kenya," Food Policy, Elsevier, vol. 49(P1), pages 117-127.
    36. Julius Manda & Cornelis Gardebroek & Elias Kuntashula & Arega D. Alene, 2018. "Impact of improved maize varieties on food security in Eastern Zambia: A doubly robust analysis," Review of Development Economics, Wiley Blackwell, vol. 22(4), pages 1709-1728, November.
    37. Joshua Angrist & Alan Krueger, 2001. "Instrumental Variables and the Search for Identification: From Supply and Demand to Natural Experiments," Working Papers 834, Princeton University, Department of Economics, Industrial Relations Section..
    38. Faruque-As-Sunny & Zuhui Huang & Taonarufaro Tinaye Pemberai Karimanzira, 2018. "Investigating Key Factors Influencing Farming Decisions Based on Soil Testing and Fertilizer Recommendation Facilities (STFRF)—A Case Study on Rural Bangladesh," Sustainability, MDPI, vol. 10(11), pages 1-24, November.
    39. Stephane Hess & Andrew Daly & Richard Batley, 2018. "Revisiting consistency with random utility maximisation: theory and implications for practical work," Theory and Decision, Springer, vol. 84(2), pages 181-204, March.
    40. Caesar Agula & Mamudu Abunga Akudugu & Franklin Nantui Mabe & Saa Dittoh, 2018. "Promoting ecosystem-friendly irrigation farm management practices for sustainable livelihoods in Africa: the Ghanaian experience," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 6(1), pages 1-21, December.
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