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Modelling Farms' Production Decisions Under Expenditure Constraints

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  • Bokusheva, Raushan
  • Kumbhakar, Subal C.

Abstract

Limited budget for the purchase of variable inputs might adversely affect producer's input use decisions and might result in a non-optimal input usage. If expenditure constrains are present and binding, unconstrained profit-maximization is not valid for modelling producers' input use decisions. In this paper we apply the indirect production function approach which describes output maximization subject to a given technology, a set of quasi-fixed inputs and a given budget for the purchase of variable inputs. By employing the indirect production function in the stochastic frontier framework we can estimate producer's output loss due to both expenditure constraints and technical inefficiency. Our estimation results show that most of the study farms were expenditure constrained during the considered period. Expenditure constraints have caused on average a potential output loss of 11 percent. Output loss due to technical inefficiency is quite moderate and averages 18 percent.

Suggested Citation

  • Bokusheva, Raushan & Kumbhakar, Subal C., 2008. "Modelling Farms' Production Decisions Under Expenditure Constraints," 107th Seminar, January 30-February 1, 2008, Sevilla, Spain 6641, European Association of Agricultural Economists.
  • Handle: RePEc:ags:eaa107:6641
    DOI: 10.22004/ag.econ.6641
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    References listed on IDEAS

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    1. Raushan Bokusheva & Heinrich Hockmann, 2006. "Production risk and technical inefficiency in Russian agriculture," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 33(1), pages 93-118, March.
    2. Anjana Bhattacharyya & Subal C. Kumbhakar, 1997. "Market Imperfections and Output Loss in the Presence of Expenditure Constraint: A Generalized Shadow Price Approach," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 79(3), pages 860-871.
    3. 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.
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    1. Obeng, K. & Sakano, R. & Naanwaab, C., 2016. "Understanding overall output efficiency in public transit systems: The roles of input regulations, perceived budget and input subsidies," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 89(C), pages 133-150.
    2. Skevas, Ioannis, 2020. "Inference in the spatial autoregressive efficiency model with an application to Dutch dairy farms," European Journal of Operational Research, Elsevier, vol. 283(1), pages 356-364.
    3. Viaggi, Davide & Raggi, Meri & Gomez y Paloma, Sergio, 2011. "Farm-household investment behaviour and the CAP decoupling: Methodological issues in assessing policy impacts," Journal of Policy Modeling, Elsevier, vol. 33(1), pages 127-145, January.
    4. Ioannis Skevas & Alfons Oude Lansink, 2020. "Dynamic Inefficiency and Spatial Spillovers in Dutch Dairy Farming," Journal of Agricultural Economics, Wiley Blackwell, vol. 71(3), pages 742-759, September.
    5. Barbora Hřebíková & Lukáš Čechura, 2015. "An Analysis of the Impacts of Weather on Technical Efficiency in Czech Agriculture," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 63(5), pages 1645-1652.
    6. Jin, Man & Zhao, Shunan & Kumbhakar, Subal C., 2019. "Financial constraints and firm productivity: Evidence from Chinese manufacturing," European Journal of Operational Research, Elsevier, vol. 275(3), pages 1139-1156.
    7. Christian Stetter & Johannes Sauer, 2022. "Greenhouse Gas Emissions and Eco-Performance at Farm Level: A Parametric Approach," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 81(3), pages 617-647, March.
    8. Melina Lamkowsky & Miranda P. M. Meuwissen & Harold A. B. van der Meulen & Frederic Ang, 2024. "How limiting is finance for Dutch dairy farms? A dynamic profit analysis," Journal of Agricultural Economics, Wiley Blackwell, vol. 75(1), pages 382-403, February.
    9. Marian Rizov & Jan Pokrivcak & Pavel Ciaian, 2013. "CAP Subsidies and Productivity of the EU Farms," Journal of Agricultural Economics, Wiley Blackwell, vol. 64(3), pages 537-557, September.
    10. Ioannis Skevas & Grigorios Emvalomatis & Bernhard Brümmer, 2018. "The effect of farm characteristics on the persistence of technical inefficiency: a case study in German dairy farming," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 45(1), pages 3-25.
    11. K. Obeng, 2011. "Indirect production function and the output effect of public transit subsidies," Transportation, Springer, vol. 38(2), pages 191-214, March.
    12. Moro, Daniele & Sckokai, Paolo, 2013. "The impact of decoupled payments on farm choices: Conceptual and methodological challenges," Food Policy, Elsevier, vol. 41(C), pages 28-38.
    13. 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).
    14. Pokrivčák, Ján & Tóth, Marián, 2022. "Financing Gap of Agro-food Firms and the Role of Policies," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 14(3), September.
    15. Dzanku, F.M. & Osei, R.D., 2018. "Impact of pre– and post-harvest training reminders on crop losses and food poverty in Mali," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 275924, International Association of Agricultural Economists.
    16. Helen Pushkarskaya & Maria Marshall, 2010. "Family Structure, Policy Shocks, and Family Business Adjustment Choices," Journal of Family and Economic Issues, Springer, vol. 31(4), pages 414-426, December.

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    Keywords

    Farm Management; Research Methods/ Statistical Methods;

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