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Agricultural Productivity in Space - An econometric assessment on Italian farm-level data

Author

Listed:
  • Edoardo Baldoni

    (Dipartimento di Scienze Economiche e Sociali - Universita' Politecnica delle Marche)

  • Roberto Esposti

    (Dipartimento di Scienze Economiche e Sociali - Universita' Politecnica delle Marche)

Abstract

This work aims to investigate the spatial dependence of agricultural Total Factor Productivity (TFP) by using farm-level data and aggregating them at a variable geographical scale. At this scale a multilateral TFP index is computed and the spatial and time dependence of this TFP measure is assessed within a spatial dynamic panel specification. Alternative Least Squares (LS), Maximum Likelihood (ML) and Generalized Method of Moments (GMM) estimation approaches are proposed and respective results compared. The application concerns Italian farm-level data over the period 2008-2015. Results suggests that higher productivity spillovers are found for those NUTS3 regions with similar neighborhoods in terms of production specialization. Higher spill-ins are found in those NUTS3 with a larger number of geographical connections, regardless of their similarity in terms of production specialization.

Suggested Citation

  • Edoardo Baldoni & Roberto Esposti, 2018. "Agricultural Productivity in Space - An econometric assessment on Italian farm-level data," Working Papers 428, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
  • Handle: RePEc:anc:wpaper:428
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    References listed on IDEAS

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    1. Parent, Olivier & LeSage, James P., 2010. "A spatial dynamic panel model with random effects applied to commuting times," Transportation Research Part B: Methodological, Elsevier, vol. 44(5), pages 633-645, June.
    2. Roberto Esposti, 2017. "The heterogeneous farm-level impact of the 2005 CAP-first pillar reform: A multivalued treatment effect estimation," Agricultural Economics, International Association of Agricultural Economists, vol. 48(3), pages 373-386, May.
    3. Hsiao, Cheng & Hashem Pesaran, M. & Kamil Tahmiscioglu, A., 2002. "Maximum likelihood estimation of fixed effects dynamic panel data models covering short time periods," Journal of Econometrics, Elsevier, vol. 109(1), pages 107-150, July.
    4. Susanto Basu, 1996. "Procyclical Productivity: Increasing Returns or Cyclical Utilization?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 111(3), pages 719-751.
    5. Yu, Jihai & de Jong, Robert & Lee, Lung-fei, 2008. "Quasi-maximum likelihood estimators for spatial dynamic panel data with fixed effects when both n and T are large," Journal of Econometrics, Elsevier, vol. 146(1), pages 118-134, September.
    6. Alfranca, Oscar & Huffman, Wallace E, 2003. "Aggregate Private R&D Investments in Agriculture: The Role of Incentives, Public Policies, and Institutions," Economic Development and Cultural Change, University of Chicago Press, vol. 52(1), pages 1-21, October.
    7. Bivand, Roger & Piras, Gianfranco, 2015. "Comparing Implementations of Estimation Methods for Spatial Econometrics," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 63(i18).
    8. Elhorst, J. Paul, 2010. "Dynamic panels with endogenous interaction effects when T is small," Regional Science and Urban Economics, Elsevier, vol. 40(5), pages 272-282, September.
    9. Robert J. Hill, 2004. "Constructing Price Indexes across Space and Time: The Case of the European Union," American Economic Review, American Economic Association, vol. 94(5), pages 1379-1410, December.
    10. Nicolas DEBARSY (CERPE De Namur) & Cem ERTUR & James P. LeSAGE, 2010. "Interpreting Dynamic Space-Time Panel Data Models," LEO Working Papers / DR LEO 800, Orleans Economics Laboratory / Laboratoire d'Economie d'Orleans (LEO), University of Orleans.
    11. Daron Acemoglu & Fabrizio Zilibotti, 2001. "Productivity Differences," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 116(2), pages 563-606.
    12. Cardamone, Paola, 2014. "R&D, spatial proximity and productivity at firm level: evidence from Italy," MPRA Paper 57149, University Library of Munich, Germany.
    13. Fried, Harold O. & Lovell, C. A. Knox & Schmidt, Shelton S. (ed.), 2008. "The Measurement of Productive Efficiency and Productivity Growth," OUP Catalogue, Oxford University Press, number 9780195183528.
    14. Julian M. Alston & Philip G. Pardey, 2014. "Agriculture in the Global Economy," Journal of Economic Perspectives, American Economic Association, vol. 28(1), pages 121-146, Winter.
    15. V. Eldon Ball, 1985. "Output, Input, and Productivity Measurement in U.S. Agriculture 1948–79," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 67(3), pages 475-486.
    16. Raushan Bokusheva & Lukáš Čechura, 2017. "Evaluating dynamics, sources and drivers of productivity growth at the farm level," OECD Food, Agriculture and Fisheries Papers 106, OECD Publishing.
    17. Roberto Esposti, 2000. "Stochastic Technical Change and Procyclical TFP The Case of Italian Agriculture," Journal of Productivity Analysis, Springer, vol. 14(2), pages 119-141, September.
    18. Chen, Yi Vivian & Heston, Alan & Lipsey, Robert, 2000. "International and interarea comparisons of income, output and prices," Journal of Asian Economics, Elsevier, vol. 11(3), pages 363-364, December.
    19. Francesco Aiello & Valeria Pupo & Fernanda Ricotta, 2014. "Explaining Total Factor Productivity at Firm Level in Italy: Does Location Matter?," Spatial Economic Analysis, Taylor & Francis Journals, vol. 9(1), pages 51-70, March.
    20. Beatrice Camaioni & Roberto Esposti & Francesco Pagliacci & Franco Sotte, 2016. "How does space affect the allocation of the EU Rural Development Policy expenditure? A spatial econometric assessment," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 43(3), pages 433-473.
    21. J. Elhorst, 2010. "Applied Spatial Econometrics: Raising the Bar," Spatial Economic Analysis, Taylor & Francis Journals, vol. 5(1), pages 9-28.
    22. Huffman, Wallace & Alfranca, O., 2003. "Private R&D Investments in Agriculture: The Role of Incentives, Public Policies, and Institutions," Staff General Research Papers Archive 10427, Iowa State University, Department of Economics.
    23. Johannes Van Biesebroeck, 2007. "Robustness Of Productivity Estimates," Journal of Industrial Economics, Wiley Blackwell, vol. 55(3), pages 529-569, September.
    24. Baldoni, Edoardo & Coderoni, Silvia & Esposti, Roberto, 2017. "The productivity and environment nexus with farm-level data. The Case of Carbon Footprint in Lombardy FADN farms," Bio-based and Applied Economics Journal, Italian Association of Agricultural and Applied Economics (AIEAA), vol. 6(2), September.
    25. Hayami, Yujiro & Ruttan, Vernon W, 1970. "Agricultural Productivity Differences Among Countries," American Economic Review, American Economic Association, vol. 60(5), pages 895-911, December.
    26. Fuglie, Keith, 2015. "Accounting for growth in global agriculture," Bio-based and Applied Economics Journal, Italian Association of Agricultural and Applied Economics (AIEAA), vol. 4(3), pages 1-34, December.
    27. Roberto Esposti, 2017. "The empirics of decoupling: Alternative estimation approaches of the farm-level production response," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 44(3), pages 499-537.
    28. Esposti, Roberto, 2002. "Public agricultural R&D design and technological spill-ins: A dynamic model," Research Policy, Elsevier, vol. 31(5), pages 693-717, July.
    29. Moulton, Brent R, 1990. "An Illustration of a Pitfall in Estimating the Effects of Aggregate Variables on Micro Unit," The Review of Economics and Statistics, MIT Press, vol. 72(2), pages 334-338, May.
    30. Arellano, Manuel, 2003. "Panel Data Econometrics," OUP Catalogue, Oxford University Press, number 9780199245291.
    31. Baldoni, Edoardo & Coderoni, Silvia & Esposti, Roberto, 2017. "The Productivity-environment Nexus At The Farm Level. The Case Of Carbon Footprint Of Lombardy FADN Farms," 2017 International Congress, August 28-September 1, 2017, Parma, Italy 260895, European Association of Agricultural Economists.
    32. Robert J. Hill, 1999. "International Comparisons Using Spanning Trees," NBER Chapters, in: International and Interarea Comparisons of Income, Output, and Prices, pages 109-120, National Bureau of Economic Research, Inc.
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    More about this item

    Keywords

    Productivity Spatial Dependence; Technological Spillovers; Multilateral TFP index; Dynamic Panel Models;
    All these keywords.

    JEL classification:

    • Q12 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Micro Analysis of Farm Firms, Farm Households, and Farm Input Markets
    • O47 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models

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