IDEAS home Printed from https://ideas.repec.org/p/iza/izadps/dp16578.html
   My bibliography  Save this paper

Spouses' Access to Financial Services: Estimating Technological and Managerial Gaps in Production

Author

Listed:
  • Malabayabas, Maria Luz L.

    (University of the Philippines, Los Banos)

  • Mishra, Ashok K.

    (Arizona State University)

  • Mayorga, Joaquin

    (Daniel J. Evans School of Public Policy and Governance)

Abstract

The study investigates the effect of the spouse's access to financial services (credit or savings) through membership in a self-help group on adopting technology, technical efficiency, and managerial gaps. To estimate the empirical model, we use farm-level data from rice farming households in eastern India, propensity score matching method, and selectivity-corrected stochastic production frontier. Results show that families with access to financial services via a spouse's membership in self-help groups have slightly higher technical efficiency than their counterparts. Both technology and managerial gaps are higher for farms where spouses have access to financial services via SHGs than their counterparts. With access to financial services via spouses, rice farmers used more hired labor, about 1.3 person-days/ha for crop establishment. Thus, women joining self-help groups can increase farm productivity, and extension agents should also focus on spouses and their role in farming decision-making, not just financial management.

Suggested Citation

  • Malabayabas, Maria Luz L. & Mishra, Ashok K. & Mayorga, Joaquin, 2023. "Spouses' Access to Financial Services: Estimating Technological and Managerial Gaps in Production," IZA Discussion Papers 16578, Institute of Labor Economics (IZA).
    • Handle: RePEc:iza:izadps:dp16578
    as

    Download full text from publisher

    File URL: https://docs.iza.org/dp16578.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Marc Jim Mariano & Renato Villano & Euan Fleming, 2011. "Technical Efficiency of Rice Farms in Different Agroclimatic Zones in the Philippines: An Application of a Stochastic Metafrontier Model," Asian Economic Journal, East Asian Economic Association, vol. 25(3), pages 245-269, September.
    2. Rahman, K. M. Mostafizur & Schmitz , Peter Michael & Wronka , Tobias C., 2002. "Comparison of Technical Efficiencies for Rice Production in Bangladesh Under Two Alternative Tenurial Systems," Bangladesh Development Studies, Bangladesh Institute of Development Studies (BIDS), vol. 28(1-2), pages 137-160, March-Jun.
    3. Prabhu Pingali & Anaka Aiyar & Mathew Abraham & Andaleeb Rahman, 2019. "Transforming Food Systems for a Rising India," Palgrave Studies in Agricultural Economics and Food Policy, Palgrave Macmillan, number 978-3-030-14409-8.
    4. 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.
    5. Shah, Deepak & Panigrahi, Sangram, 2015. "Determinants of Participation of Women in Self-Help Groups (SGHs) and Credit Delivery from Formal and Informal Sources to BPL Households in Odisha," Indian Journal of Agricultural Economics, Indian Society of Agricultural Economics, vol. 70(3), pages 1-12.
    6. Ranjula Bali Swain & Fan Yang Wallentin, 2012. "Factors empowering women in Indian self-help group programs," International Review of Applied Economics, Taylor & Francis Journals, vol. 26(4), pages 425-444, April.
    7. Christopher O’Donnell & D. Rao & George Battese, 2008. "Metafrontier frameworks for the study of firm-level efficiencies and technology ratios," Empirical Economics, Springer, vol. 34(2), pages 231-255, March.
    8. Meeusen, Wim & van den Broeck, Julien, 1977. "Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 18(2), pages 435-444, June.
    9. Greg Seymour, 2017. "Women's empowerment in agriculture: Implications for technical efficiency in rural Bangladesh," Agricultural Economics, International Association of Agricultural Economists, vol. 48(4), pages 513-522, July.
    10. Ellen Verhofstadt & Miet Maertens, 2014. "Smallholder cooperatives and agricultural performance in Rwanda: do organizational differences matter?," Agricultural Economics, International Association of Agricultural Economists, vol. 45(S1), pages 39-52, November.
    11. Okali, Christine, 2011. "Searching for new pathways towards achieving gender equity: Beyond Boserup and 'Women's role in economic development," ESA Working Papers 289012, Food and Agriculture Organization of the United Nations, Agricultural Development Economics Division (ESA).
    12. Subal Kumbhakar & Efthymios Tsionas & Timo Sipiläinen, 2009. "Joint estimation of technology choice and technical efficiency: an application to organic and conventional dairy farming," Journal of Productivity Analysis, Springer, vol. 31(3), pages 151-161, June.
    13. de Janvry, Alain & Fafchamps, Marcel & Sadoulet, Elisabeth, 1991. "Peasant Household Behaviour with Missing Markets: Some Paradoxes Explained," Economic Journal, Royal Economic Society, vol. 101(409), pages 1400-1417, November.
    14. Carter, Michael R., 1989. "The impact of credit on peasant productivity and differentiation in Nicaragua," Journal of Development Economics, Elsevier, vol. 31(1), pages 13-36, July.
    15. William Greene, 2010. "A stochastic frontier model with correction for sample selection," Journal of Productivity Analysis, Springer, vol. 34(1), pages 15-24, August.
    16. de Janvry, Alain & Fafchamps, M. & Sadoulet, Elisabeth, 1991. "Peasant Household Behavior with Missing Markets: Some Paradoxes Explain," CUDARE Working Papers 198579, University of California, Berkeley, Department of Agricultural and Resource Economics.
    17. Stiglitz, Joseph E & Weiss, Andrew, 1981. "Credit Rationing in Markets with Imperfect Information," American Economic Review, American Economic Association, vol. 71(3), pages 393-410, June.
    18. Dar, Manzoor H & de Janvry, Alain & Emerick, Kyle & Raitzer, David & Sadoulet, Elisabeth, 2013. "Flood-tolerant rice reduces yield variability and raises expected yield, differentially benefitting socially disadvantaged groups," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt9md9n7h0, Department of Agricultural & Resource Economics, UC Berkeley.
    19. Renato Villano & Boris Bravo-Ureta & Daniel Solís & Euan Fleming, 2015. "Modern Rice Technologies and Productivity in the Philippines: Disentangling Technology from Managerial Gaps," Journal of Agricultural Economics, Wiley Blackwell, vol. 66(1), pages 129-154, February.
    20. 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.
    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. Maria Luz L. Malabayabas & Ashok K. Mishra & Joaquin Mayorga, 2024. "Impact of spouses' access to financial services on technological and managerial gaps in rice production," Journal of International Development, John Wiley & Sons, Ltd., vol. 36(5), pages 2430-2456, July.
    2. Abdul-Rahaman, Awal & Abdulai, Awudu, 2018. "Do farmer groups impact on farm yield and efficiency of smallholder farmers? Evidence from rice farmers in northern Ghana," Food Policy, Elsevier, vol. 81(C), pages 95-105.
    3. Bravo-Ureta, Boris E. & Higgins, Daniel & Arslan, Aslihan, 2020. "Irrigation infrastructure and farm productivity in the Philippines: A stochastic Meta-Frontier analysis," World Development, Elsevier, vol. 135(C).
    4. Bravo-Ureta, Boris E. & Jara-Rojas, Roberto & Lachaud, Michee A. & Moreira L., Victor H. & Scheierling, Susanne M., 2015. "Water and Farm Efficiency: Insights from the Frontier Literature," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 206076, Agricultural and Applied Economics Association.
    5. Ayobami Adetoyinbo & Verena Otter, 2022. "Can producer groups improve technical efficiency among artisanal shrimpers in Nigeria? A study accounting for observed and unobserved selectivity," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 10(1), pages 1-33, December.
    6. Boris E. Bravo‐Ureta & Mario González‐Flores & William Greene & Daniel Solís, 2021. "Technology and Technical Efficiency Change: Evidence from a Difference in Differences Selectivity Corrected Stochastic Production Frontier Model," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(1), pages 362-385, January.
    7. Owusu, Eric S. & Bravo-Ureta, Boris E., 2022. "Reap when you sow? The productivity impacts of early sowing in Malawi," Agricultural Systems, Elsevier, vol. 199(C).
    8. Carrer, Marcelo José & Filho, Hildo Meirelles de Souza & Vinholis, Marcela de Mello Brandão & Mozambani, Carlos Ivan, 2022. "Precision agriculture adoption and technical efficiency: An analysis of sugarcane farms in Brazil," Technological Forecasting and Social Change, Elsevier, vol. 177(C).
    9. Begin, Rosemarie & Tamini, Lota D. & Doyon, Maurice, 2014. "L'effet du travail hors-ferme sur l'efficacité technique des fermes laitières québécoises: un modèle intégrant les biais de sélection sur les observables et inobservables," Working Papers 187233, University of Laval, Center for Research on the Economics of the Environment, Agri-food, Transports and Energy (CREATE).
    10. Maria Vrachioli & Spiro E. Stefanou & Vangelis Tzouvelekas, 2021. "Impact Evaluation of Alternative Irrigation Technology in Crete: Correcting for Selectivity Bias," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 79(3), pages 551-574, July.
    11. Mohammed, Sadick & Abdulai, Awudu, 2021. "Extension Participation and Improved Technology Adoption: Impact on Efficiency and Welfare of Farmers in Ghana," 2021 Conference, August 17-31, 2021, Virtual 315362, International Association of Agricultural Economists.
    12. Fissha Asmare & Jūratė Jaraitė & Andrius Kažukauskas, 2022. "Climate change adaptation and productive efficiency of subsistence farming: A bias‐corrected panel data stochastic frontier approach," Journal of Agricultural Economics, Wiley Blackwell, vol. 73(3), pages 739-760, September.
    13. Catherine Guirkinger & Stephen R. Boucher, 2008. "Credit constraints and productivity in Peruvian agriculture," Agricultural Economics, International Association of Agricultural Economists, vol. 39(3), pages 295-308, November.
    14. Neubauer, Florian & Songsermsawas, Tisorn & Kámiche-Zegarra, Joanna & Bravo-Ureta, Boris E., 2022. "Technical efficiency and technological gaps correcting for selectivity bias: Insights from a value chain project in Nepal," Food Policy, Elsevier, vol. 112(C).
    15. Martinez-Cillero, Maria & Lawless, Martina & O'Toole, Conor, 2023. "Analysing SME investment, financing constraints and its determinants. A stochastic frontier approach," International Review of Economics & Finance, Elsevier, vol. 85(C), pages 578-588.
    16. Mukasa Adamon N. & Anthony M. Simpasa & Adeleke Oluwole Salami, 2017. "Working Paper 247 - Credit constraints and farm productivity: Micro-level evidence from smallholder farmers in Ethiopia," Working Paper Series 2356, African Development Bank.
    17. Won-Sik Hwang & Ho-Sung Kim, 2022. "Does the adoption of emerging technologies improve technical efficiency? Evidence from Korean manufacturing SMEs," Small Business Economics, Springer, vol. 59(2), pages 627-643, August.
    18. Huang, Tai-Hsin & Chiang, Dien-Lin & Chao, Shih-Wei, 2017. "A new approach to jointly estimating the Lerner index and cost efficiency for multi-output banks under a stochastic meta-frontier framework," The Quarterly Review of Economics and Finance, Elsevier, vol. 65(C), pages 212-226.
    19. Toba Stephen Olasehinde & Fangbin Qiao & Shiping Mao, 2022. "Performance of Nigerian Rice Farms from 2010 to 2019: A Stochastic Metafrontier Approach," Agriculture, MDPI, vol. 12(7), pages 1-13, July.
    20. André Croppenstedt, 2005. "Measuring Technical Efficiency of Wheat Farmers in Egypt," Working Papers 05-06, Agricultural and Development Economics Division of the Food and Agriculture Organization of the United Nations (FAO - ESA).

    More about this item

    Keywords

    self-help group; PSM; selection-correction SPF; production efficiency; hired labor;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • Q12 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Micro Analysis of Farm Firms, Farm Households, and Farm Input Markets
    • Q16 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - R&D; Agricultural Technology; Biofuels; Agricultural Extension Services
    • Q55 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environmental Economics: Technological Innovation
    • R58 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Regional Government Analysis - - - Regional Development Planning and Policy

    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:iza:izadps:dp16578. 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: Holger Hinte (email available below). General contact details of provider: https://edirc.repec.org/data/izaaade.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.