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Agricultural Informatization and Technical Efficiency in Maize Production in Zambia

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  • Gershom Endelani Mwalupaso

    (College of Economics and Management, China Center for Food Security Studies, Nanjing Agricultural University, No. 1 Weigang, Nanjing 210095, China)

  • Shangao Wang

    (College of Economics and Management, China Center for Food Security Studies, Nanjing Agricultural University, No. 1 Weigang, Nanjing 210095, China)

  • Sanzidur Rahman

    (Earth and Environmental Sciences, School of Geography, University of Plymouth, Drake Circus, Plymouth PL4 8AA, UK)

  • Essiagnon John-Philippe Alavo

    (College of Economics and Management, China Center for Food Security Studies, Nanjing Agricultural University, No. 1 Weigang, Nanjing 210095, China)

  • Xu Tian

    (College of Economics and Management, China Center for Food Security Studies, Nanjing Agricultural University, No. 1 Weigang, Nanjing 210095, China)

Abstract

The cropland productivity gap between Africa and the rest of the world is widening. Fortunately, increasing farmers’ access to useful agricultural information reduces the costs of searching for information, thereby leading to higher agricultural productivity and sustainability. This study investigates the association between the adoption of mobile phones to collect agricultural information and farmers’ technical efficiency (TE) in Zambia. Different from previous studies, we focus on the actual use of mobile phones by farmers rather than mere ownership. Farmers were selected using a two-stage sampling procedure, and the Cobb-Douglas (CD) production function is adopted to estimate the association using two approaches—the conventional stochastic production frontier (SPF) and propensity score matching-stochastic production frontier (PSM-SPF) model. In both cases, we found that the use of mobile phones is significantly and positively associated with farmers’ TE. However, the conventional SFP model exaggerates the TE scores by 5.3% due to its failure to mitigate biases from observed variables. Regarding the agricultural growth indicators (income and output) related to TE, a close inspection reveals that increasing mobile phone use to close the TE gap between the two groups could result in a 5.13% and 8.21% reduction in severity of poverty and extreme poverty, respectively. Additional research is essential to corroborate the findings and analyze the potential causal mechanisms. Our study provides strong evidence to promote mobile phone use in agricultural production in rural Zambia.

Suggested Citation

  • Gershom Endelani Mwalupaso & Shangao Wang & Sanzidur Rahman & Essiagnon John-Philippe Alavo & Xu Tian, 2019. "Agricultural Informatization and Technical Efficiency in Maize Production in Zambia," Sustainability, MDPI, vol. 11(8), pages 1-17, April.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:8:p:2451-:d:225983
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    References listed on IDEAS

    as
    1. William Greene, 2010. "A stochastic frontier model with correction for sample selection," Journal of Productivity Analysis, Springer, vol. 34(1), pages 15-24, August.
    2. Guinnane, T.W., 1993. "Cooperatives as Information Machines: The Lending Practices of german Agricultural Credit Cooperatives, 1883-1914," Papers 699, Yale - Economic Growth Center.
    3. Enoch M Kikulwe & Elisabeth Fischer & Matin Qaim, 2014. "Mobile Money, Smallholder Farmers, and Household Welfare in Kenya," PLOS ONE, Public Library of Science, vol. 9(10), pages 1-13, October.
    4. James J. Heckman, 1976. "The Common Structure of Statistical Models of Truncation, Sample Selection and Limited Dependent Variables and a Simple Estimator for Such Models," NBER Chapters, in: Annals of Economic and Social Measurement, Volume 5, number 4, pages 475-492, National Bureau of Economic Research, Inc.
    5. Haruna Sekabira & Matin Qaim, 2017. "Mobile money, agricultural marketing, and off-farm income in Uganda," Agricultural Economics, International Association of Agricultural Economists, vol. 48(5), pages 597-611, September.
    6. Tadesse, Getaw & Bahiigwa, Godfrey, 2015. "Mobile Phones and Farmers’ Marketing Decisions in Ethiopia," World Development, Elsevier, vol. 68(C), pages 296-307.
    7. Boris Bravo-Ureta & William Greene & Daniel Solís, 2012. "Technical efficiency analysis correcting for biases from observed and unobserved variables: an application to a natural resource management project," Empirical Economics, Springer, vol. 43(1), pages 55-72, August.
    8. Aker, Jenny C. & Ksoll, Christopher, 2016. "Can mobile phones improve agricultural outcomes? Evidence from a randomized experiment in Niger," Food Policy, Elsevier, vol. 60(C), pages 44-51.
    9. Sanzidur Rahman & Aree Wiboonpongse & Songsak Sriboonchitta & Yaovarate Chaovanapoonphol, 2009. "Production Efficiency of Jasmine Rice Producers in Northern and North‐eastern Thailand," Journal of Agricultural Economics, Wiley Blackwell, vol. 60(2), pages 419-435, June.
    10. White, Howard, 2006. "Impact evaluation: the experience of the Independent Evaluation Group of the World Bank," MPRA Paper 1111, University Library of Munich, Germany.
    11. Sanzidur Rahman, 2010. "Women’s Labour Contribution to Productivity and Efficiency in Agriculture: Empirical Evidence From Bangladesh," Journal of Agricultural Economics, Wiley Blackwell, vol. 61(2), pages 318-342, June.
    12. Daniel Solís & Boris E. Bravo‐Ureta & Ricardo E. Quiroga, 2009. "Technical Efficiency among Peasant Farmers Participating in Natural Resource Management Programmes in Central America," Journal of Agricultural Economics, Wiley Blackwell, vol. 60(1), pages 202-219, February.
    13. Jenny C. Aker, 2010. "Information from Markets Near and Far: Mobile Phones and Agricultural Markets in Niger," American Economic Journal: Applied Economics, American Economic Association, vol. 2(3), pages 46-59, July.
    14. Barbara Sianesi, 2001. "Propensity score matching," United Kingdom Stata Users' Group Meetings 2001 12, Stata Users Group, revised 23 Aug 2001.
    15. Meade, Birgit & Thome, Karen, 2017. "International Food Security Assessment, 2017-2027," Amber Waves:The Economics of Food, Farming, Natural Resources, and Rural America, United States Department of Agriculture, Economic Research Service, issue 05, June.
    16. Eduardo Nakasone & Maximo Torero, 2016. "A text message away: ICTs as a tool to improve food security," Agricultural Economics, International Association of Agricultural Economists, vol. 47(S1), pages 49-59, November.
    17. Abdulai, Awudu & Eberlin, Richard, 2001. "Technical efficiency during economic reform in Nicaragua: evidence from farm household survey data," Economic Systems, Elsevier, vol. 25(2), pages 113-125, June.
    18. Stephen Devereux, "undated". "Social Protection for Enhanced Food Security in Sub-Saharan Africa," UNDP Africa Policy Notes 2012-010, United Nations Development Programme, Regional Bureau for Africa.
    19. Natalia Pimenta Monteiro, 2010. "Using propensity matching estimators to evaluate the impact of privatization on wages," Applied Economics, Taylor & Francis Journals, vol. 42(10), pages 1293-1313.
    20. Maxwell, Simon, 1996. "Food security: a post-modern perspective," Food Policy, Elsevier, vol. 21(2), pages 155-170, May.
    21. Lisandro Roco & Boris Bravo-Ureta & Alejandra Engler & Roberto Jara-Rojas, 2017. "The Impact of Climatic Change Adaptation on Agricultural Productivity in Central Chile: A Stochastic Production Frontier Approach," Sustainability, MDPI, vol. 9(9), pages 1-16, September.
    22. Susan Wyche & Charles Steinfield, 2016. "Why Don't Farmers Use Cell Phones to Access Market Prices? Technology Affordances and Barriers to Market Information Services Adoption in Rural Kenya," Information Technology for Development, Taylor & Francis Journals, vol. 22(2), pages 320-333, April.
    23. Beghin, John & Meade, Birgit & Rosen, Stacey, 2017. "A food demand framework for International Food Security Assessment," Journal of Policy Modeling, Elsevier, vol. 39(5), pages 827-842.
    24. Robert Jensen, 2007. "The Digital Provide: Information (Technology), Market Performance, and Welfare in the South Indian Fisheries Sector," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 122(3), pages 879-924.
    25. Marco Caliendo & Sabine Kopeinig, 2008. "Some Practical Guidance For The Implementation Of Propensity Score Matching," Journal of Economic Surveys, Wiley Blackwell, vol. 22(1), pages 31-72, February.
    26. Richard Duncombe & Richard Boateng, 2009. "Mobile Phones and Financial Services in Developing Countries: a review of concepts, methods, issues, evidence and future research directions," Third World Quarterly, Taylor & Francis Journals, vol. 30(7), pages 1237-1258.
    27. Fisher, Monica & Kandiwa, Vongai, 2014. "Can agricultural input subsidies reduce the gender gap in modern maize adoption? Evidence from Malawi," Food Policy, Elsevier, vol. 45(C), pages 101-111.
    28. Eduardo Nakasone & Maximo Torero & Bart Minten, 2014. "The Power of Information: The ICT Revolution in Agricultural Development," Annual Review of Resource Economics, Annual Reviews, vol. 6(1), pages 533-550, October.
    29. Sekabira, Haruna & Qaim, Matin, 2017. "Can Mobile Phones Improve Gender Equality and Nutrition? Panel Data Evidence from Farm Households in Uganda," GlobalFood Discussion Papers 256215, Georg-August-Universitaet Goettingen, GlobalFood, Department of Agricultural Economics and Rural Development.
    30. Tian, Xu & Sun, Feifei & Zhou, Yingheng, 2015. "Technical Efficiency and Its Determinants in China's Hog Production," 2015 Conference, August 9-14, 2015, Milan, Italy 212718, International Association of Agricultural Economists.
    31. Abdul Wadud & Ben White, 2000. "Farm household efficiency in Bangladesh: a comparison of stochastic frontier and DEA methods," Applied Economics, Taylor & Francis Journals, vol. 32(13), pages 1665-1673.
    32. I. Okike & M.A. Jabbar & V.M. Manyong & J.W. Smith & S.K. Ehui, 2004. "Factors Affecting Farm-specific Production Efficiency in the Savanna Zones of West Africa," Journal of African Economies, Centre for the Study of African Economies, vol. 13(1), pages 134-165, March.
    33. Gashaw Tadesse ABATE & Gian Nicola FRANCESCONI & Kindie GETNET, 2014. "Impact Of Agricultural Cooperatives On Smallholders’ Technical Efficiency: Empirical Evidence From Ethiopia," Annals of Public and Cooperative Economics, Wiley Blackwell, vol. 85(2), pages 257-286, June.
    34. Sanne Blauw & Philip Hans Franses, 2016. "Off the Hook: Measuring the Impact of Mobile Telephone Use on Economic Development of Households in Uganda using Copulas," Journal of Development Studies, Taylor & Francis Journals, vol. 52(3), pages 315-330, March.
    35. Jenny C. Aker & Isaac M. Mbiti, 2010. "Mobile Phones and Economic Development in Africa," Journal of Economic Perspectives, American Economic Association, vol. 24(3), pages 207-232, Summer.
    36. Lee R. Lynd & Jeremy Woods, 2011. "Perspective: A new hope for Africa," Nature, Nature, vol. 474(7352), pages 20-21, June.
    37. Guinnane, Timothy W., 2001. "Cooperatives As Information Machines: German Rural Credit Cooperatives, 1883–1914," The Journal of Economic History, Cambridge University Press, vol. 61(2), pages 366-389, June.
    38. J. R. Minkoua Nzie & J. C. Bidogeza & Nkwah Azinwi Ngum, 2018. "Mobile Phone Use, Transaction Costs, and Price: Evidence from Rural Vegetable Farmers in Cameroon," Journal of African Business, Taylor & Francis Journals, vol. 19(3), pages 323-342, July.
    39. Jenny C. Aker, 2011. "Dial “A” for agriculture: a review of information and communication technologies for agricultural extension in developing countries," Agricultural Economics, International Association of Agricultural Economists, vol. 42(6), pages 631-647, November.
    40. Fufa, B. & Hassan, Rashid M., 2003. "Stochastic maize production technology and production risk analysis in Dadar district, East Ethiopia," Agrekon, Agricultural Economics Association of South Africa (AEASA), vol. 42(2), pages 1-13, June.
    41. Muto, Megumi & Yamano, Takashi, 2009. "The Impact of Mobile Phone Coverage Expansion on Market Participation: Panel Data Evidence from Uganda," World Development, Elsevier, vol. 37(12), pages 1887-1896, December.
    42. Binam, Joachim Nyemeck & Tonye, Jean & wandji, Njankoua & Nyambi, Gwendoline & Akoa, Mireille, 2004. "Factors affecting the technical efficiency among smallholder farmers in the slash and burn agriculture zone of Cameroon," Food Policy, Elsevier, vol. 29(5), pages 531-545, October.
    43. Battese, G E & Coelli, T J, 1995. "A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data," Empirical Economics, Springer, vol. 20(2), pages 325-332.
    44. Sekabira, Haruna & Qaim, Matin, 2017. "Can mobile phones improve gender equality and nutrition? Panel data evidence from farm households in Uganda," Food Policy, Elsevier, vol. 73(C), pages 95-103.
    45. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
    46. Chapoto, Antony & Banda, Diana J. & Haggblade, Steven & Hamukwala, Priscilla, 2011. "Factors Affecting Poverty Dynamics in Rural Zambia," Food Security Collaborative Working Papers 109888, Michigan State University, Department of Agricultural, Food, and Resource Economics.
    47. Mittal, Surabhi & Tripathi, Gaurav, 2009. "Role of Mobile Phone Technology in Improving Small Farm Productivity," Agricultural Economics Research Review, Agricultural Economics Research Association (India), vol. 22(Conferenc).
    48. Amarender Reddy, A. & Bantilan, Ma Cynthia S., 2012. "Competitiveness and technical efficiency: Determinants in the groundnut oil sector of India," Food Policy, Elsevier, vol. 37(3), pages 255-263.
    49. Okike, I O & Jabbar, Mohammad A. & Manyong, Victor M. & Smith, J W & Ehui, Simeon K., 2004. "Factors affecting farm specific production effieciency in the savanah zones of West Africa," Research Reports 182995, International Livestock Research Institute.
    50. Jema Haji, 2007. "Production Efficiency of Smallholders' Vegetable-dominated Mixed Farming System in Eastern Ethiopia: A Non-Parametric Approach," Journal of African Economies, Centre for the Study of African Economies, vol. 16(1), pages 1-27, January.
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