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Technical efficiency and spatial spillovers: Evidence from grain marketing cooperatives in the US Midwest

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  • Theodoros Skevas
  • Jasper Grashuis

Abstract

To date, no study has investigated the role of spatial spillovers in the technical efficiency of farmer cooperatives. This study addresses this issue by employing a two‐stage approach, first measuring cooperatives' technical efficiency using a Data Envelopment Analysis (DEA) model and secondly using a bootstrap truncated regression to identify the effect of spatial spillovers and cooperative firm‐level characteristics on technical efficiency. The empirical application focuses on grain marketing cooperatives in the Midwest region of the United States, and shows that spatial spillover effects influence the technical efficiency of neighboring cooperatives. Technical efficiency is also found to be influenced by several cooperative firm‐level characteristics including age, liquidity, differentiation, and membership size. [EconLit citations C21, Q13, R3].

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  • Theodoros Skevas & Jasper Grashuis, 2020. "Technical efficiency and spatial spillovers: Evidence from grain marketing cooperatives in the US Midwest," Agribusiness, John Wiley & Sons, Ltd., vol. 36(1), pages 111-126, January.
    • Handle: RePEc:wly:agribz:v:36:y:2020:i:1:p:111-126
    DOI: 10.1002/agr.21617
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    1. Alexandra Schmidt & Ajax Moreira & Steven Helfand & Thais Fonseca, 2009. "Spatial stochastic frontier models: accounting for unobserved local determinants of inefficiency," Journal of Productivity Analysis, Springer, vol. 31(2), pages 101-112, April.
    2. Kelejian, Harry H. & Prucha, Ingmar R., 2010. "Specification and estimation of spatial autoregressive models with autoregressive and heteroskedastic disturbances," Journal of Econometrics, Elsevier, vol. 157(1), pages 53-67, July.
    3. Elisa Fusco & Francesco Vidoli, 2013. "Spatial stochastic frontier models: controlling spatial global and local heterogeneity," International Review of Applied Economics, Taylor & Francis Journals, vol. 27(5), pages 679-694, September.
    4. Satbir Singh & Tim Coelli & Euan Fleming, 2001. "Performance of Dairy Plants in the Cooperative and Private Sectors in India," Annals of Public and Cooperative Economics, Wiley Blackwell, vol. 72(4), pages 453-479, December.
    5. Sueyoshi, Toshiyuki, 1999. "DEA non-parametric ranking test and index measurement: slack-adjusted DEA and an application to Japanese agriculture cooperatives," Omega, Elsevier, vol. 27(3), pages 315-326, June.
    6. Francisco José Areal & Kelvin Balcombe & Richard Tiffin, 2012. "Integrating spatial dependence into Stochastic Frontier Analysis," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 56(4), pages 521-541, October.
    7. Ariyaratne, Chatura B. & Featherstone, Allen M. & Langemeier, Michael R. & Barton, David G., 2000. "Measuring X-Efficiency And Scale Efficiency For A Sample Of Agricultural Cooperatives," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 29(2), pages 1-10, October.
    8. Piesse, Jenifer & Doyer, Tobias & Thirtle, Colin & Vink, Nick, 2005. "The changing role of grain cooperatives in the transition to competitive markets in South Africa," Journal of Comparative Economics, Elsevier, vol. 33(1), pages 197-218, March.
    9. Michael L. Cook, 2018. "A Life Cycle Explanation of Cooperative Longevity," Sustainability, MDPI, vol. 10(5), pages 1-20, May.
    10. Fackler, Paul L. & Goodwin, Barry K., 2001. "Spatial price analysis," Handbook of Agricultural Economics, in: B. L. Gardner & G. C. Rausser (ed.), Handbook of Agricultural Economics, edition 1, volume 1, chapter 17, pages 971-1024, Elsevier.
    11. Simar, Leopold & Wilson, Paul W., 2007. "Estimation and inference in two-stage, semi-parametric models of production processes," Journal of Econometrics, Elsevier, vol. 136(1), pages 31-64, January.
    12. Efthymios G. Tsionas & Panayotis G. Michaelides, 2016. "A Spatial Stochastic Frontier Model with Spillovers: Evidence for Italian Regions," Scottish Journal of Political Economy, Scottish Economic Society, vol. 63(3), pages 243-257, July.
    13. Theodoros Skevas & Teresa Serra, 2016. "The role of pest pressure in technical and environmental inefficiency analysis of Dutch arable farms: an event-specific data envelopment approach," Journal of Productivity Analysis, Springer, vol. 46(2), pages 139-153, December.
    14. Viliam Druska & William C. Horrace, 2004. "Generalized Moments Estimation for Spatial Panel Data: Indonesian Rice Farming," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 86(1), pages 185-198.
    15. Caputo, Michael R. & Lynch, Lori, 1993. "A Nonparametric Efficiency Analysis Of California Cotton Ginning Cooperatives," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 18(2), pages 1-15, December.
    16. Jasper Grashuis, 2019. "Spatial Competition in the Iowa Corn Market: Informing the Pricing Behavior of Corporate and Cooperative Grain Merchants," Sustainability, MDPI, vol. 11(4), pages 1-13, February.
    17. Vidoli, Francesco & Cardillo, Concetta & Fusco, Elisa & Canello, Jacopo, 2016. "Spatial nonstationarity in the stochastic frontier model: An application to the Italian wine industry," Regional Science and Urban Economics, Elsevier, vol. 61(C), pages 153-164.
    18. Glass, Anthony J. & Kenjegalieva, Karligash & Sickles, Robin C., 2016. "A spatial autoregressive stochastic frontier model for panel data with asymmetric efficiency spillovers," Journal of Econometrics, Elsevier, vol. 190(2), pages 289-300.
    19. Theodoros Skevas & Ioannis Skevas & Scott M. Swinton, 2018. "Does Spatial Dependence Affect the Intention to Make Land Available for Bioenergy Crops?," Journal of Agricultural Economics, Wiley Blackwell, vol. 69(2), pages 393-412, June.
    20. Zuhui Huang & Yuzhi Fu & Qiao Liang & Yu Song & Xuchu Xu, 2013. "The Efficiency of Agricultural Marketing Cooperatives in China's Zhejiang Province," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 34(3-5), pages 272-282, April.
    21. Ellene Kebede & Dean F. Schreiner, 1996. "Economies of scale in dairy marketing cooperatives in Kenya," Agribusiness, John Wiley & Sons, Ltd., vol. 12(4), pages 395-402.
    22. AM Alvarez & EG Fidalgo & RJ Sexton & M Zhang, 2000. "Oligopsony power with uniform spatial pricing: theory and application to milk processing in Spain," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 27(3), pages 347-364, September.
    23. Areal, Francisco Jose & Balcombe, Kelvin & Tiffin, Richard, 2012. "Integrated spatial dependence into Stochastic Frontier Analysis," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 56(4), pages 1-21, December.
    24. Burress, Molly J. & Cook, Michael L. & Klein, Peter G., 2008. "The Clustering of Organizational Innovation: Developing Governance Models for Vertical Integration," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 11(4), pages 1-28, November.
    25. Skevas, Theodoros & Lansink, Alfons Oude & Stefanou, Spiro E., 2012. "Measuring technical efficiency in the presence of pesticide spillovers and production uncertainty: The case of Dutch arable farms," European Journal of Operational Research, Elsevier, vol. 223(2), pages 550-559.
    26. Mosheim, Roberto, 2002. "Organizational Type and Efficiency in the Costa Rican Coffee Processing Sector," Journal of Comparative Economics, Elsevier, vol. 30(2), pages 296-316, June.
    27. Valerien O. Pede & Francisco J. Areal & Alphonse Singbo & Justin McKinley & Kei Kajisa, 2018. "Spatial dependency and technical efficiency: an application of a Bayesian stochastic frontier model to irrigated and rainfed rice farmers in Bohol, Philippines," Agricultural Economics, International Association of Agricultural Economists, vol. 49(3), pages 301-312, May.
    28. Morakinyo Adetutu & Anthony Glass & Karligash Kenjegalieva & Robin Sickles, 2015. "The effects of efficiency and TFP growth on pollution in Europe: a multistage spatial analysis," Journal of Productivity Analysis, Springer, vol. 43(3), pages 307-326, June.
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    Cited by:

    1. Kozo Harimaya & Koichi Kagitani, 2022. "Efficiency, and economies of scale and scope in Japanese agricultural cooperatives," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 11(1), pages 1-19, December.
    2. Sokol, Ondřej & Frýd, Lukáš, 2023. "DEA efficiency in agriculture: Measurement unit issues," Socio-Economic Planning Sciences, Elsevier, vol. 86(C).
    3. Kumse, Kaittisak & Suzuki, Nobuhiro & Sato, Takeshi & Demont, Matty, 2021. "The spillover effect of direct competition between marketing cooperatives and private intermediaries: Evidence from the Thai rice value chain," Food Policy, Elsevier, vol. 101(C).
    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. Huma Neupane & Krishna P. Paudel & Qinying He, 2023. "Impact of cooperative membership on market performance of Nepali goat farmers," Annals of Public and Cooperative Economics, Wiley Blackwell, vol. 94(3), pages 805-830, September.
    6. Ioannis Skevas & Alfons Oude Lansink & Theodoros Skevas, 2023. "Analysing inefficiency in a non‐parametric spatial‐dynamic by‐production framework: A k‐nearest neighbour proposal," Journal of Agricultural Economics, Wiley Blackwell, vol. 74(2), pages 591-607, June.
    7. Theodoros Skevas & Jasper Grashuis, 2023. "Evaluating dynamic productivity change of US farm supply cooperatives," Agribusiness, John Wiley & Sons, Ltd., vol. 39(4), pages 1238-1253, October.
    8. Kevin Schneider & Ioannis Skevas & Alfons Oude Lansink, 2021. "Spatial Spillovers on Input‐specific Inefficiency of Dutch Arable Farms," Journal of Agricultural Economics, Wiley Blackwell, vol. 72(1), pages 224-243, February.
    9. Qiao Liang & Rongrong Bai & Zhi Jin & Linlin Fu, 2023. "Big and strong or small and beautiful: Effects of organization size on the performance of farmer cooperatives in China," Agribusiness, John Wiley & Sons, Ltd., vol. 39(1), pages 196-213, January.
    10. Carmelo Algeri & Luc Anselin & Antonio Fabio Forgione & Carlo Migliardo, 2022. "Spatial dependence in the technical efficiency of local banks," Papers in Regional Science, Wiley Blackwell, vol. 101(3), pages 685-716, June.

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