IDEAS home Printed from https://ideas.repec.org/a/iag/reviea/v19y2022i2p155-164.html

Will Romanian Crop Farms Be Affected Differently By Low-Input Farming?

Author

Listed:
  • Cecilia ALEXANDRI

    (Institute of Agricultural Economics, Romanian Academy, Bucharest)

  • Corina SAMAN

    (Institute of Agricultural Economics, Romanian Academy, Bucharest)

  • Bianca PĂUNA

    (Center for Macroeconomic Modelling, National Institute of Economic Research, Bucharest)

  • Lucian LUCA

    (Institute of Agricultural Economics, Romanian Academy, Bucharest)

Abstract

We use farm-level panel data from FADN Romania for three years (2016–2018) and estimate Cobb-Douglas production function to document the effect of low-input farming on production. We find that there are substantial differences in measuring values for capital, crop protection and fertilizers in the database that pose problems in estimating a uniform function for farms of all sizes and also for comparing the results. The estimations show the effect of fertilizers is larger for very small farms and of similar magnitude for the other farms. However, the estimator of the impact of reducing the use of crop protection materials is larger for farms with total utilized area larger than 10 hectares.

Suggested Citation

  • Cecilia ALEXANDRI & Corina SAMAN & Bianca PĂUNA & Lucian LUCA, 2022. "Will Romanian Crop Farms Be Affected Differently By Low-Input Farming?," Agricultural Economics and Rural Development, Institute of Agricultural Economics, vol. 19(2), pages 155-164.
    • Handle: RePEc:iag:reviea:v:19:y:2022:i:2:p:155-164
    as

    Download full text from publisher

    File URL: http://www.eadr.ro/RePEc/iag/iag_pdf/AERD2202_155-164.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Zvi Griliches & Jacques Mairesse, 1995. "Production Functions: The Search for Identification," Harvard Institute of Economic Research Working Papers 1719, Harvard - Institute of Economic Research.
    2. Ackerberg, Daniel & Caves, Kevin & Frazer, Garth, 2006. "Structural identification of production functions," MPRA Paper 38349, University Library of Munich, Germany.
    3. James Levinsohn & Amil Petrin, 2003. "Estimating Production Functions Using Inputs to Control for Unobservables," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 70(2), pages 317-341.
    4. Wooldridge, Jeffrey M., 2009. "On estimating firm-level production functions using proxy variables to control for unobservables," Economics Letters, Elsevier, vol. 104(3), pages 112-114, September.
    5. Olley, G Steven & Pakes, Ariel, 1996. "The Dynamics of Productivity in the Telecommunications Equipment Industry," Econometrica, Econometric Society, vol. 64(6), pages 1263-1297, November.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Cecilia ALEXANDRI & Corina SAMAN & Bianca PAUNA, 2024. "Heterogeneity in the agricultural sector and its implications for modeling viability," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(4), pages 144-156, December.
    2. repec:rjr:romjef:v::y:2024:i:4:p:144-157 is not listed 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. Markus Eberhardt & Christian Helmers, 2010. "Untested Assumptions and Data Slicing: A Critical Review of Firm-Level Production Function Estimators," Economics Series Working Papers 513, University of Oxford, Department of Economics.
    2. Kılınç, Umut, 2014. "Estimating entrants' productivity when prices are unobserved," Economic Modelling, Elsevier, vol. 38(C), pages 640-647.
    3. Laurin Janes, 2013. "Can capital grants help microenterprises reach the productivity level of SMEs? Evidence from an experiment in Sri Lanka," Economics Series Working Papers WPS/2013-18, University of Oxford, Department of Economics.
    4. Roberto Martino & Phu Nguyen-Van, 2014. "Labour market regulation and fiscal parameters: A structural model for European regions," Working Papers of BETA 2014-19, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    5. Daan Freeman & Leon Bettendorf & Gerrit Hugo van Heuvelen & Gerdien Meijerink, 2024. "Business Dynamics and Productivity Growth in the Netherlands," CESifo Working Paper Series 11071, CESifo.
    6. Yoko KONISHI & Yoshihiko NISHIMURA, 2013. "A Note on the Identification of Demand and Supply Shocks in Production: Decomposition of TFP," Discussion papers 13099, Research Institute of Economy, Trade and Industry (RIETI).
    7. Doraszelski, Ulrich & Jaumandreu, Jordi, 2006. "R&D and productivity: Estimating production functions when productivity is endogenous," MPRA Paper 1246, University Library of Munich, Germany.
    8. Nick Jacob & Giordano Mion, 2024. "On the productivity advantage of cities," Journal of Economic Geography, Oxford University Press, vol. 24(5), pages 679-705.
    9. Békés, Gábor & Hornok, Cecília & Muraközy, Balázs, 2016. "Globalization and the markups of European firms," Kiel Working Papers 2044, Kiel Institute for the World Economy.
    10. V. Vandenberghe & F. Waltenberg & M. Rigo, 2013. "Ageing and employability. Evidence from Belgian firm-level data," Journal of Productivity Analysis, Springer, vol. 40(1), pages 111-136, August.
    11. repec:rim:rimwps:17-26 is not listed on IDEAS
    12. Lu, Yunguo & Zhang, Lin, 2022. "National mitigation policy and the competitiveness of Chinese firms," Energy Economics, Elsevier, vol. 109(C).
    13. Benoit Dostie, 2011. "Wages, Productivity and Aging," De Economist, Springer, vol. 159(2), pages 139-158, June.
    14. Amoroso, S., 2013. "Heterogeneity of innovative, collaborative, and productive firm-level processes," Other publications TiSEM f5784a49-7053-401d-855d-1, Tilburg University, School of Economics and Management.
    15. Bena Jan & Ondko Peter & Vourvachaki Evangelia, 2011. "Productivity Gains from Services Liberalization in Europe," EERC Working Paper Series 11/15e, EERC Research Network, Russia and CIS.
    16. Ling Zhu & Dongmin Kong, 2023. "Revenue pressure of local governments and firm productivity: Evidence from a natural experiment in China," Economics of Transition and Institutional Change, John Wiley & Sons, vol. 31(3), pages 721-748, July.
    17. Daan Freeman & Leon Bettendorf & Harro van Heuvelen & Gerdien Meijerink, 2021. "The contribution of business dynamics to productivity growth in the Netherlands," CPB Discussion Paper 427, CPB Netherlands Bureau for Economic Policy Analysis.
    18. Kato, Kengo & Sasaki, Yuya, 2018. "Uniform confidence bands in deconvolution with unknown error distribution," Journal of Econometrics, Elsevier, vol. 207(1), pages 129-161.
    19. Gita Gopinath & Şebnem Kalemli-Özcan & Loukas Karabarbounis & Carolina Villegas-Sanchez, 2017. "Capital Allocation and Productivity in South Europe," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 132(4), pages 1915-1967.
    20. Claudiu Tiberiu Albulescu & Camélia Turcu, 2022. "Productivity, financial performance, and corporate governance: evidence from Romanian R&D firms," Applied Economics, Taylor & Francis Journals, vol. 54(51), pages 5956-5975, November.
    21. Son, Sung Hyun & Kim, Young-Han, 2024. "Does cross-border M&A improve merging firms’ domestic performances?," Journal of Asian Economics, Elsevier, vol. 90(C).

    More about this item

    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
    • Q18 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Policy; Food Policy; Animal Welfare Policy
    • O47 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence

    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:iag:reviea:v:19:y:2022:i:2:p:155-164. 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: Corina Saman (email available below). General contact details of provider: https://edirc.repec.org/data/iaacaro.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.