IDEAS home Printed from https://ideas.repec.org/a/gam/jagris/v13y2023i9p1840-d1243598.html
   My bibliography  Save this article

Roles of Personal, Household, Physical, and Institutional Factors on Farmers’ Efficiency of Hybrid Maize Production: Implications for Food Security

Author

Listed:
  • Shoaib Akhtar

    (Department of Agriculture Business and Marketing, Faculty of Agricultural Sciences and Technology, Baha Uddin Zakariya University, Multan 60000, Pakistan)

  • Azhar Abbas

    (Institute of Agricultural and Resource Economics, University of Agriculture, Faisalabad 38040, Pakistan)

  • Muhammad Faisal

    (Department of Economics, University of Mianwali, Punjab 42200, Pakistan)

  • Muhammad Haseeb Raza

    (Department of Agribusiness and Applied Economics, MNS University of Agriculture, Multan 60000, Pakistan)

  • Abdus Samie

    (Institute of Agricultural and Resource Economics, University of Agriculture, Faisalabad 38040, Pakistan)

  • Mark Yu

    (Division of Agribusiness and Agricultural Economics, Department of Agricultural Education and Communication, Tarleton State University, P.O. Box T-0040, Stephenville, TX 76402, USA)

  • Ashley Lovell

    (Division of Agribusiness and Agricultural Economics, Department of Agricultural Education and Communication, Tarleton State University, P.O. Box T-0040, Stephenville, TX 76402, USA)

Abstract

This study explored the multifaceted factors influencing the efficiency of hybrid maize production and investigated the possible implications for food security. The study adopted a comprehensive approach, examining personal, household, physical, and institutional factors that affect farmers’ productivity. Findings revealed the technical, allocative, and economic efficiencies through a combination of field surveys, data analysis, and econometric modeling. The mean technical, allocative, and economic efficiency scores for the sampled farms were 0.89, 0.66, and 0.59, respectively. Moreover, the result of Tobit regression analysis showed high significance of all three efficiencies. The significant factors associated with technical efficiency were farm size, age of farm household, maize farming experience, maize farming area, distance from the farm to the main market, number of visits by extension workers, credit access, and Okara district. In addition, the number of visits by extension workers, districts (Sahiwal and Okara), age of farmers, maize farming experience, and regional disparity (Sahiwal district) had substantial influences on allocative and economic inefficiencies in the hybrid maize-growing farms. Policymakers and agricultural stakeholders can develop focused strategies to improve farmers’ productivity and overall food security by identifying the key factors associated with hybrid maize production. Tailored interventions that address knowledge gaps, improve resource allocation, and provide improved institutional support can help make food systems more sustainable and resilient.

Suggested Citation

  • Shoaib Akhtar & Azhar Abbas & Muhammad Faisal & Muhammad Haseeb Raza & Abdus Samie & Mark Yu & Ashley Lovell, 2023. "Roles of Personal, Household, Physical, and Institutional Factors on Farmers’ Efficiency of Hybrid Maize Production: Implications for Food Security," Agriculture, MDPI, vol. 13(9), pages 1-13, September.
  • Handle: RePEc:gam:jagris:v:13:y:2023:i:9:p:1840-:d:1243598
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2077-0472/13/9/1840/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2077-0472/13/9/1840/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Shoaib Akhtar & Azhar Abbas & Muhammad Amjed Iqbal & Muhammad Rizwan & Abdus Samie & Muhammad Faisal & Jam Ghulam Murtaza Sahito, 2021. "What Determines the Uptake of Multiple Tools to Mitigate Agricultural Risks among Hybrid Maize Growers in Pakistan? Findings from Field-Level Data," Agriculture, MDPI, vol. 11(7), pages 1-13, June.
    2. Basanta R. Dhungana & Peter L. Nuthall & Gilbert V. Nartea, 2004. "Measuring the economic inefficiency of Nepalese rice farms using data envelopment analysis," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 48(2), pages 347-369, June.
    3. Ogundari, Kolawole, 2014. "The Paradigm of Agricultural Efficiency and its Implication on Food Security in Africa: What Does Meta-analysis Reveal?," World Development, Elsevier, vol. 64(C), pages 690-702.
    4. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    5. Rabia Mazhar & Bi Xuehao & Thomas Dogot & Rytis Skominas & Vjekoslav Tanaskovik & Hossein Azadi & Zou Wei, 2022. "Contract Farming and Technical Efficiency: A Case of Export-Oriented Organic Rice Farmers in Pakistan," Land, MDPI, vol. 11(11), pages 1-16, November.
    6. Erik Thorbecke, 2013. "The Interrelationship Linking Growth, Inequality and Poverty in Sub-Saharan Africa," Journal of African Economies, Centre for the Study of African Economies, vol. 22(suppl_1), pages -48, January.
    7. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    8. Štefan Bojnec & Imre Fertő, 2013. "Farm income sources, farm size and farm technical efficiency in Slovenia," Post-Communist Economies, Taylor & Francis Journals, vol. 25(3), pages 343-356, September.
    9. Aristide Maniriho & Edouard Musabanganji & Philippe Lebailly, 2021. "Factors Affecting Farm Performance among Small-Scale Farmers in the Volcanic Highlands of Rwanda: What is the Role of Institutions?," Asian Journal of Agriculture and Rural Development, Asian Economic and Social Society, vol. 11(4), pages 262-268.
    Full references (including those not matched with items on IDEAS)

    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. Amar Oukil & Slim Zekri, 2021. "Investigating farming efficiency through a two stage analytical approach: Application to the agricultural sector in Northern Oman," Papers 2104.10943, arXiv.org.
    2. Rudra Bahadur SHRESTHA & Wen-Chi HUANG & Shriniwas GAUTAM & Thomas Gordon JOHNSON, 2016. "Efficiency of small scale vegetable farms: policy implications for the rural poverty reduction in Nepal," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 62(4), pages 181-195.
    3. Frýd, Lukáš & Sokol, Ondřej, 2021. "Relationships between technical efficiency and subsidies for Czech farms: A two-stage robust approach," Socio-Economic Planning Sciences, Elsevier, vol. 78(C).
    4. Agnes Gold & Stefan Gold, 2019. "Drivers of Farm Efficiency and Their Potential for Development in a Changing Agricultural Setting in Kerala, India," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 31(4), pages 855-880, September.
    5. Liu, John S. & Lu, Louis Y.Y. & Lu, Wen-Min & Lin, Bruce J.Y., 2013. "A survey of DEA applications," Omega, Elsevier, vol. 41(5), pages 893-902.
    6. Kalli, Rajesh & Jena, Pradyot Ranjan & Timilsina, Raja Rajendra & Rahut, Dil Bahadur & Sonobe, Tetsushi, 2024. "Effect of irrigation on farm efficiency in tribal villages of Eastern India," Agricultural Water Management, Elsevier, vol. 291(C).
    7. Justice G. Djokoto & Ferguson K. Gidiglo & Francis Y. Srofenyoh & Kofi Aaron A-O. Agyei-Henaku & Akua A. Afrane Arthur & Charlotte Badu-Prah & John Fry, 2020. "Sectoral and spatio-temporal differentiation in technical efficiency: A meta-regression," Cogent Economics & Finance, Taylor & Francis Journals, vol. 8(1), pages 1773659-177, January.
    8. Thuzar Linn & Broos Maenhout, 2019. "The impact of environmental uncertainty on the performance of the rice supply chain in the Ayeyarwaddy Region, Myanmar," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 7(1), pages 1-29, December.
    9. Casolani, Nicola & Nissi, Eugenia & Giampaolo, Antonio & Liberatore, Lolita, 2021. "Evaluating the effects of European support measures for Italian organic farms," Land Use Policy, Elsevier, vol. 102(C).
    10. Daraio, Cinzia & Kerstens, Kristiaan & Nepomuceno, Thyago & Sickles, Robin C., 2019. "Empirical Surveys of Frontier Applications: A Meta-Review," Working Papers 19-005, Rice University, Department of Economics.
    11. Anirban Nandy & Piyush Kumar Singh & Alok Kumar Singh, 2021. "Systematic Review and Meta- regression Analysis of Technical Efficiency of Agricultural Production Systems," Global Business Review, International Management Institute, vol. 22(2), pages 396-421, April.
    12. Sana Sadaf & Khalid Riaz, 2012. "Does Access to Modern Marketing Channels Improve Dairy Enterprises’ Efficiency? A Case Study of Punjab, Pakistan," Lahore Journal of Economics, Department of Economics, The Lahore School of Economics, vol. 17(1), pages 63-82, Jan-June.
    13. Benjamin Tetteh Anang & Stefan Bäckman & Antonios Rezitis, 2016. "Does farm size matter? Investigating scale efficiency of peasant rice farmers in northern Ghana," Economics Bulletin, AccessEcon, vol. 36(4), pages 2275-2290.
    14. Shiwei LIU & Pingyu ZHANG & Xiuli HE & Jing LI, 2015. "Efficiency change in North-East China agricultural sector: A DEA approach," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 61(11), pages 522-532.
    15. Khoshroo, Alireza & Mulwa, Richard & Emrouznejad, Ali & Arabi, Behrouz, 2013. "A non-parametric Data Envelopment Analysis approach for improving energy efficiency of grape production," Energy, Elsevier, vol. 63(C), pages 189-194.
    16. Franz R. Hahn, 2007. "Determinants of Bank Efficiency in Europe. Assessing Bank Performance Across Markets," WIFO Studies, WIFO, number 31499, March.
    17. Alperovych, Yan & Hübner, Georges & Lobet, Fabrice, 2015. "How does governmental versus private venture capital backing affect a firm's efficiency? Evidence from Belgium," Journal of Business Venturing, Elsevier, vol. 30(4), pages 508-525.
    18. Wang, Zhao-Hua & Zeng, Hua-Lin & Wei, Yi-Ming & Zhang, Yi-Xiang, 2012. "Regional total factor energy efficiency: An empirical analysis of industrial sector in China," Applied Energy, Elsevier, vol. 97(C), pages 115-123.
    19. Azarnoosh Kafi & Behrouz Daneshian & Mohsen Rostamy-Malkhalifeh, 2021. "Forecasting the confidence interval of efficiency in fuzzy DEA," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 31(1), pages 41-59.
    20. Ruiqing Yuan & Xiangyang Xu & Yanli Wang & Jiayi Lu & Ying Long, 2024. "Evaluating Carbon-Emission Efficiency in China’s Construction Industry: An SBM-Model Analysis of Interprovincial Building Heating," Sustainability, MDPI, vol. 16(6), pages 1-16, March.

    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:gam:jagris:v:13:y:2023:i:9:p:1840-:d:1243598. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.