IDEAS home Printed from https://ideas.repec.org/p/ags/miffrp/264393.html
   My bibliography  Save this paper

The Role Of The Locations Of Public Sector Varietal Development Activities On Agricultural Productivity: Evidence From Northern Nigeria

Author

Listed:
  • Takeshima, Hiroyuki
  • Nasir, Abdullahi Mohammed

Abstract

Despite the importance of location-specific adaptive crop breeding research, past reforms of breeding systems in Nigeria have focused more on centralizing the breeding activities into fewer locations. This has been based partly on the premise that such research systems can still effectively meet the need for a diverse set of varietal technologies that are suitable for different agroecological conditions through the use of numerous outstations and multilocational trials, regardless of the locations of the headquarters or the outstations where breeders are located. However, little empirical evidence exists to support this premise. Using panel data for agricultural households in northern Nigeria, as well as spatial data on agroecological factors, this study fills this knowledge gap. Specifically, it empirically shows that agricultural productivity and technical efficiency at farm household level is significantly and positively affected by similarity between the agroecological conditions of the locations of these households and where major crop breeding institutes are headquartered in Nigeria, namely Maiduguri, Kano, Zaria, Badeggi, Ibadan, and Umudike, after controlling for the agroecological conditions and various relevant household characteristics of these households. These findings suggest that where improved varieties are developed or evaluated affects agricultural productivity and technical efficiency in different locations. Overall agricultural productivity in Nigeria can be significantly increased not simply by increasing support for public sector varietal development, but by doing so in a manner that increases the similarity in agroecological conditions between areas where crop breeding is conducted and the areas where farm households produce those crops.

Suggested Citation

  • Takeshima, Hiroyuki & Nasir, Abdullahi Mohammed, 2017. "The Role Of The Locations Of Public Sector Varietal Development Activities On Agricultural Productivity: Evidence From Northern Nigeria," Feed the Future Innovation Lab for Food Security Policy Research Papers 264393, Michigan State University, Department of Agricultural, Food, and Resource Economics, Feed the Future Innovation Lab for Food Security (FSP).
  • Handle: RePEc:ags:miffrp:264393
    DOI: 10.22004/ag.econ.264393
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/264393/files/FSP%20RESEARCH%20PAPER%2072.pdf
    Download Restriction: no

    File URL: https://ageconsearch.umn.edu/record/264393/files/FSP%20RESEARCH%20PAPER%2072.pdf?subformat=pdfa
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.264393?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. William W. Cooper & Lawrence M. Seiford & Joe Zhu (ed.), 2011. "Handbook on Data Envelopment Analysis," International Series in Operations Research and Management Science, Springer, number 978-1-4419-6151-8, April.
    2. Arega D. Alene & V. M. Manyong & Eric F. Tollens & Steffen Abele, 2009. "Efficiency–equity tradeoffs and the scope for resource reallocation in agricultural research: evidence from Nigeria," Agricultural Economics, International Association of Agricultural Economists, vol. 40(1), pages 1-14, January.
    3. Takeshima, Hiroyuki & Maji, Alhassan, 2016. "Varietal development and the effectiveness of seed sector policies: The case of rice in Nigeria:," NSSP working papers 34, International Food Policy Research Institute (IFPRI).
    4. Songqing Jin & Scott Rozelle & Julian Alston & Jikun Huang, 2005. "Economies Of Scale And Scope And The Economic Efficiency Of China'S Agricultural Research System," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 46(3), pages 1033-1057, August.
    5. Foster, Andrew D & Rosenzweig, Mark R, 1996. "Technical Change and Human-Capital Returns and Investments: Evidence from the Green Revolution," American Economic Review, American Economic Association, vol. 86(4), pages 931-953, September.
    6. Morris, Michael L. & Singh, R. P. & Pal, Suresh, 1998. "India's maize seed industry in transition: changing roles for the public and private sectors," Food Policy, Elsevier, vol. 23(1), pages 55-71, February.
    7. Andersson Djurfeldt, Agnes, 2013. "African Re-Agrarianization? Accumulation or Pro-Poor Agricultural Growth?," World Development, Elsevier, vol. 41(C), pages 217-231.
    8. Carlos A. Flores & Oscar A. Mitnik, 2013. "Comparing Treatments across Labor Markets: An Assessment of Nonexperimental Multiple-Treatment Strategies," The Review of Economics and Statistics, MIT Press, vol. 95(5), pages 1691-1707, December.
    9. Takeshima, Hiroyuki & Adhikari, Rajendra Prasad & Shivakoti, Sabnam & Kaphle, Basu Dev & Kumar, Anjani, 2017. "Heterogeneous returns to chemical fertilizer at the intensive margins: Insights from Nepal," Food Policy, Elsevier, vol. 69(C), pages 97-109.
    10. Dercon, Stefan, 2004. "Growth and shocks: evidence from rural Ethiopia," Journal of Development Economics, Elsevier, vol. 74(2), pages 309-329, August.
    11. Yong-bae Ji & Choonjoo Lee, 2010. "Data envelopment analysis," Stata Journal, StataCorp LP, vol. 10(2), pages 267-280, June.
    12. Barbara J. Craig & Philip G. Pardey & Johannes Roseboom, 1997. "International Productivity Patterns: Accounting for Input Quality, Infrastructure, and Research," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 79(4), pages 1064-1076.
    13. Samuel Bazzi & Arya Gaduh & Alexander D. Rothenberg & Maisy Wong, 2016. "Skill Transferability, Migration, and Development: Evidence from Population Resettlement in Indonesia," American Economic Review, American Economic Association, vol. 106(9), pages 2658-2698, September.
    14. Willam Greene, 2005. "Fixed and Random Effects in Stochastic Frontier Models," Journal of Productivity Analysis, Springer, vol. 23(1), pages 7-32, January.
    15. John P. Brennan & Inder Pal Singh & Laurie G. Lewin, 1997. "Identifying international rice research spillovers in New South Wales," Agricultural Economics, International Association of Agricultural Economists, vol. 17(1), pages 35-44, October.
    16. Amsler, Christine & Prokhorov, Artem & Schmidt, Peter, 2016. "Endogeneity in stochastic frontier models," Journal of Econometrics, Elsevier, vol. 190(2), pages 280-288.
    17. Johnson, Michael E. & Benin, Samuel & You, Liangzhi & Diao, Xinshen & Chilonda, Pius & Kennedy, Adam, 2014. "Exploring strategic priorities for regional agricultural research and development investments in southern Africa:," IFPRI discussion papers 1318, International Food Policy Research Institute (IFPRI).
    18. Brennan, John P. & Singh, Inder Pal & Lewin, Laurie G., 1997. "Identifying international rice research spillovers in New South Wales," Agricultural Economics, Blackwell, vol. 17(1), pages 35-44, October.
    19. Maredia, Mywish K. & Ward, Richard & Byerlee, Derek, 1996. "Econometric estimation of a global spillover matrix for wheat varietal technology," Agricultural Economics, Blackwell, vol. 14(3), pages 159-173, August.
    20. Takeshima, Hiroyuki & Liverpool-Tasie, Lenis Saweda O., 2013. "Fertilizer Subsidy, Political Influence and Local Food Prices in Sub-Saharan Africa: Evidence from Nigeria," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 150327, Agricultural and Applied Economics Association.
    21. Arega D. Alene, 2010. "Productivity growth and the effects of R&D in African agriculture," Agricultural Economics, International Association of Agricultural Economists, vol. 41(3‐4), pages 223-238, May.
    22. Jondrow, James & Knox Lovell, C. A. & Materov, Ivan S. & Schmidt, Peter, 1982. "On the estimation of technical inefficiency in the stochastic frontier production function model," Journal of Econometrics, Elsevier, vol. 19(2-3), pages 233-238, August.
    23. Flaherty, Kathleen & Ayoola, Gbolagade B. & Ogbodo, John & Beintema, Nienke M., 2010. "Nigeria: Recent developments in agricultural research," ASTI country notes 7305, International Food Policy Research Institute (IFPRI).
    24. Lynam, John & Beintema, Nienke M. & Roseboom, Johannes & Badiane, Ousmane (ed.), 2016. "Agricultural research in Africa: Investing in future harvests," IFPRI books, International Food Policy Research Institute (IFPRI), number 978-0-89629-212-3.
    25. Arega D. Alene & Abebe Menkir & S. O. Ajala & B. Badu‐Apraku & A. S. Olanrewaju & V. M. Manyong & Abdou Ndiaye, 2009. "The economic and poverty impacts of maize research in West and Central Africa," Agricultural Economics, International Association of Agricultural Economists, vol. 40(5), pages 535-550, September.
    26. Fried, Harold O. & Lovell, C. A. Knox & Schmidt, Shelton S. (ed.), 1993. "The Measurement of Productive Efficiency: Techniques and Applications," OUP Catalogue, Oxford University Press, number 9780195072181.
    27. Julian M. Alston & Jennifer S. James & Matthew A. Andersen & Philip G. Pardey, 2010. "Econometric Estimation and Results," Natural Resource Management and Policy, in: Persistence Pays, chapter 0, pages 313-351, Springer.
    28. Steven A. Block, 2014. "The post-independence decline and rise of crop productivity in sub-Saharan Africa: measurement and explanations," Oxford Economic Papers, Oxford University Press, vol. 66(2), pages 373-396.
    29. 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.
    30. Evenson, Robert E. & Westphal, Larry E., 1995. "Technological change and technology strategy," Handbook of Development Economics, in: Hollis Chenery & T.N. Srinivasan (ed.), Handbook of Development Economics, edition 1, volume 3, chapter 37, pages 2209-2299, Elsevier.
    31. McMillan, Della E. & Meltzer, Martin I., 1996. "Vector-borne disease control in sub-Saharan Africa: A necessary but partial vision of development," World Development, Elsevier, vol. 24(3), pages 569-588, March.
    32. Zvi Griliches, 1998. "The Search for R&D Spillovers," NBER Chapters, in: R&D and Productivity: The Econometric Evidence, pages 251-268, National Bureau of Economic Research, Inc.
    33. Barbara Guardabascio & Marco Ventura, 2014. "Estimating the dose–response function through a generalized linear model approach," Stata Journal, StataCorp LP, vol. 14(1), pages 141-158, March.
    34. Jesse Tack & Andrew Barkley & Lawton Lanier Nalley, 2015. "Estimating Yield Gaps With Limited Data: An Application to United States Wheat," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 97(5), pages 1464-1477.
    35. Unknown, 1999. "The Global Wheat Improvement System: Prospects for Enhancing Efficiency in the Presence of Spillovers," Miscellaneous Reports 233048, CIMMYT: International Maize and Wheat Improvement Center.
    36. Johnson, M., 2014. "Exploring strategic priorities for regional agricultural research and development investments in Southern Africa," IWMI Working Papers H046297, International Water Management Institute.
    37. William W. Cooper & Lawrence M. Seiford & Joe Zhu, 2011. "Data Envelopment Analysis: History, Models, and Interpretations," International Series in Operations Research & Management Science, in: William W. Cooper & Lawrence M. Seiford & Joe Zhu (ed.), Handbook on Data Envelopment Analysis, chapter 0, pages 1-39, Springer.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Takeshima, Hiroyuki, 2017. "The roles of agroclimatic similarity and returns on scale in the demand for mechanization: Insights from northern Nigeria," IFPRI discussion papers 1692, International Food Policy Research Institute (IFPRI).
    2. Hiroyuki Takeshima, 2019. "Geography of plant breeding systems, agroclimatic similarity, and agricultural productivity: evidence from Nigeria," Agricultural Economics, International Association of Agricultural Economists, vol. 50(1), pages 67-78, January.
    3. Takeshima, Hiroyuki & Hatzenbuehler, Patrick L. & Edeh, Hyacinth O., 2020. "Effects of agricultural mechanization on economies of scope in crop production in Nigeria," Agricultural Systems, Elsevier, vol. 177(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Hiroyuki Takeshima, 2019. "Geography of plant breeding systems, agroclimatic similarity, and agricultural productivity: evidence from Nigeria," Agricultural Economics, International Association of Agricultural Economists, vol. 50(1), pages 67-78, January.
    2. Pardey, Philip G. & Alston, Julian M. & Ruttan, Vernon W., 2010. "The Economics of Innovation and Technical Change in Agriculture," Handbook of the Economics of Innovation, in: Bronwyn H. Hall & Nathan Rosenberg (ed.), Handbook of the Economics of Innovation, edition 1, volume 2, chapter 0, pages 939-984, Elsevier.
    3. repec:oup:apecpp:v:40:y:2018:i:3:p:421-444. is not listed on IDEAS
    4. Takeshima, Hiroyuki, 2017. "The roles of agroclimatic similarity and returns on scale in the demand for mechanization: Insights from northern Nigeria," IFPRI discussion papers 1692, International Food Policy Research Institute (IFPRI).
    5. Gale A. Boyd & Jonathan M. Lee, 2020. "Relative Effectiveness of Energy Efficiency Programs versus Market Based Climate Policies in the Chemical Industry," The Energy Journal, , vol. 41(3), pages 39-62, May.
    6. Russ Kashian & Nicholas Lovett & Yuhan Xue, 2020. "Has the affordable care act affected health care efficiency?," Journal of Regulatory Economics, Springer, vol. 58(2), pages 193-233, December.
    7. Rafael Sanchez & Francisca Pacheco, 2014. "A Longitudinal Parametric Approach to Estimate Local Government Efficiency," Working Papers wp_033, Adolfo Ibáñez University, School of Government.
    8. Jaime Bonet-Morón & Jhorland Ayala-García, 2016. "La brecha fiscal territorial en Colombia," Documentos de trabajo sobre Economía Regional y Urbana 235, Banco de la Republica de Colombia.
    9. Eshref Trushin, 2013. "Does regulation affect innovation and technical production efficiency? Evidence from the global pharmaceutical industry," Chapters, in: Mehmet Ugur (ed.), Governance, Regulation and Innovation, chapter 8, pages 197-215, Edward Elgar Publishing.
    10. Jaime Bonet‐Morón & Jhorland Ayala‐García, 2020. "The territorial fiscal gap in Colombia," Regional Science Policy & Practice, Wiley Blackwell, vol. 12(1), pages 7-24, February.
    11. Manuel Salas‐Velasco, 2020. "Assessing the performance of Spanish secondary education institutions: Distinguishing between transient and persistent inefficiency, separated from heterogeneity," Manchester School, University of Manchester, vol. 88(4), pages 531-555, July.
    12. Heshmati, Almas & C. Kumbhakar, Subal & Kim, Jungsuk, 2016. "Persistent and Transient Efficiency of International Airlines," Working Paper Series in Economics and Institutions of Innovation 444, Royal Institute of Technology, CESIS - Centre of Excellence for Science and Innovation Studies.
    13. Lien, Gudbrand & Kumbhakar, Subal C. & Alem, Habtamu, 2018. "Endogeneity, heterogeneity, and determinants of inefficiency in Norwegian crop-producing farms," International Journal of Production Economics, Elsevier, vol. 201(C), pages 53-61.
    14. Alston, Julian M., 2002. "Spillovers," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 46(3), pages 1-32.
    15. Pontus Mattsson & Jonas Mansson & William H. Greene, 2018. "TFP Change and its Components for Swedish Manufacturing Firms During the 2008-2009 Financial Crisis," Working Papers 18-27, New York University, Leonard N. Stern School of Business, Department of Economics.
    16. Kumbhakar, Subal C. & Tsionas, Mike G., 2020. "On the estimation of technical and allocative efficiency in a panel stochastic production frontier system model: Some new formulations and generalizations," European Journal of Operational Research, Elsevier, vol. 287(2), pages 762-775.
    17. Li, Hong-Zhou & Kopsakangas-Savolainen, Maria & Xiao, Xing-Zhi & Tian, Zhen-Zhen & Yang, Xiao-Yuan & Wang, Jian-Lin, 2016. "Cost efficiency of electric grid utilities in China: A comparison of estimates from SFA–MLE, SFA–Bayes and StoNED–CNLS," Energy Economics, Elsevier, vol. 55(C), pages 272-283.
    18. Subal Kumbhakar & Anatoly Peresetsky, 2013. "Cost efficiency of Kazakhstan and Russian banks: results from competing panel data models-super-1," Macroeconomics and Finance in Emerging Market Economies, Taylor & Francis Journals, vol. 6(1), pages 88-113, March.
    19. Yakubu Abdul-Salam & Euan Phimister, 2017. "Efficiency Effects of Access to Information on Small-scale Agriculture: Empirical Evidence from Uganda using Stochastic Frontier and IRT Models," Journal of Agricultural Economics, Wiley Blackwell, vol. 68(2), pages 494-517, June.
    20. Maliyamu Abudureheman & Qingzhe Jiang & Jiong Gong & Abulaiti Yiming, 2023. "Estimating and Decomposing the TFP Growth of Service-Oriented Manufacturing in China: A Translogarithmic Stochastic Frontier Approach," Sustainability, MDPI, vol. 15(7), pages 1-20, March.

    More about this item

    Keywords

    Agricultural and Food Policy; Food Security and Poverty; International Development;
    All these keywords.

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ags:miffrp:264393. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/damsuus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.