IDEAS home Printed from https://ideas.repec.org/p/ags/aesc17/258649.html
   My bibliography  Save this paper

Technology gaps and leaps in the sustainable development of English cereal and general cropping farms

Author

Listed:
  • Iliakis, Konstantinos
  • Gadanakis, Yiorgos
  • Park, Julian

Abstract

Identifying and assessing technology gaps and technology leaps observed in the agricultural productivity change analysis is of paramount importance since it enables the identification of a set of effects that influence the way that inputs are transformed into outputs and resources are allocated between diversified farm activities. Previous studies have ignored the importance of heterogeneity between different farming systems and their characteristics and have also failed to account for the different rates of technology absorption with respect to an unrestricted universal production frontier considering simultaneous generation of main products and by-products. Furthermore, the technology leaps defined as varying rates of technology absorption over time with respect to the unrestricted universal production frontier may lead to miss-specified local production functions and biased efficiency and productivity change estimates. The analysis focused on the regional variation of the production environment, farm specialisation and level of engagement as constraints to productivity gains. By considering two different levels of endogenous and exogenous heterogeneity in the production environment, the analysis used data from the Farm Business Survey of English arable farms for the years 2005-2013 and employed the parametric stochastic meta-frontier analysis to measure sustainable productivity change as producers engage into agricultural and diversified activities as alternative sources of income. The model approaches simultaneous value-adding generation processes to reveal the relationship between change in producers’ endowments and productivity gains in a network application under uncertainty.

Suggested Citation

  • Iliakis, Konstantinos & Gadanakis, Yiorgos & Park, Julian, 2017. "Technology gaps and leaps in the sustainable development of English cereal and general cropping farms," 91st Annual Conference, April 24-26, 2017, Royal Dublin Society, Dublin, Ireland 258649, Agricultural Economics Society.
    • Handle: RePEc:ags:aesc17:258649
    DOI: 10.22004/ag.econ.258649
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/258649/files/Konstantinos_Iliakis_ILIAKIS_AES17.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.258649?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Hove, Seedwell & Touna Mama, Albert & Tchana Tchana, Fulbert, 2015. "Monetary policy and commodity terms of trade shocks in emerging market economies," Economic Modelling, Elsevier, vol. 49(C), pages 53-71.
    2. Janssen, Sander & van Ittersum, Martin K., 2007. "Assessing farm innovations and responses to policies: A review of bio-economic farm models," Agricultural Systems, Elsevier, vol. 94(3), pages 622-636, June.
    3. Chou, Yen-Chun & Hao-Chun Chuang, Howard & Shao, Benjamin B.M., 2014. "The impacts of information technology on total factor productivity: A look at externalities and innovations," International Journal of Production Economics, Elsevier, vol. 158(C), pages 290-299.
    4. Rankin, Amber & Gray, Allan W. & Boehlje, Michael & Alexander, Corinne E., 2011. "Sustainability Strategies in U.S. Agribusiness: Understanding Key Drivers, Objectives, and Actions," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 14(4), pages 1-20, November.
    5. Lê, Sébastien & Josse, Julie & Husson, François, 2008. "FactoMineR: An R Package for Multivariate Analysis," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 25(i01).
    6. 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.
    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. Fatima Lambarraa & Spiro Stefanou & José M. Gil, 2016. "The analysis of irreversibility, uncertainty and dynamic technical inefficiency on the investment decision in the Spanish olive sector," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 43(1), pages 59-77.
    9. Renwick, Alan W. & Jansson, Torbjorn & Verburg, Peter H. & Revoredo-Giha, Cesar & Britz, Wolfgang & Gocht, Alexander & McCracken, Davy, 2011. "Policy Reform and Agricultural Land Abandonment," 85th Annual Conference, April 18-20, 2011, Warwick University, Coventry, UK 108772, Agricultural Economics Society.
    10. David Hadley, 2006. "Patterns in Technical Efficiency and Technical Change at the Farm‐level in England and Wales, 1982–2002," Journal of Agricultural Economics, Wiley Blackwell, vol. 57(1), pages 81-100, March.
    11. Henningsen, Arne & Mpeta, Daniel F. & Adem, Anwar S. & Kuzilwa, Joseph A. & Czekaj, Tomasz G., 2015. "A Meta-Frontier Approach for Causal Inference in Productivity Analysis: The Effect of Contract Farming on Sunflower Productivity in Tanzania," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 206200, Agricultural and Applied Economics Association.
    12. Cliff Huang & Tai-Hsin Huang & Nan-Hung Liu, 2014. "A new approach to estimating the metafrontier production function based on a stochastic frontier framework," Journal of Productivity Analysis, Springer, vol. 42(3), pages 241-254, December.
    13. Monjardino, M. & McBeath, T. & Ouzman, J. & Llewellyn, R. & Jones, B., 2015. "Farmer risk-aversion limits closure of yield and profit gaps: A study of nitrogen management in the southern Australian wheatbelt," Agricultural Systems, Elsevier, vol. 137(C), pages 108-118.
    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. Thanh Pham Thien Nguyen & Son Hong Nghiem & Eduardo Roca & Parmendra Sharma, 2016. "Efficiency, innovation and competition: evidence from Vietnam, China and India," Empirical Economics, Springer, vol. 51(3), pages 1235-1259, November.
    2. Satoshi Honma & Jin-Li Hu, 2018. "A meta-stochastic frontier analysis for energy efficiency of regions in Japan," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 7(1), pages 1-16, December.
    3. Richard Adjei Dwumfour & Eric Fosu Oteng-Abayie & Emmanuel Kwasi Mensah, 2022. "Bank efficiency and the bank lending channel: new evidence," Empirical Economics, Springer, vol. 63(3), pages 1489-1542, September.
    4. 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).
    5. Ligia Alba Melo-Becerra & Antonio José Orozco-Gallo, 2017. "Technical efficiency for Colombian small crop and livestock farmers: A stochastic metafrontier approach for different production systems," Journal of Productivity Analysis, Springer, vol. 47(1), pages 1-16, February.
    6. Tai-Hsin Huang & Yi-Chun Lin & Kuo-Jui Huang & Yu-Wei Liao, 2022. "Comparing Cost Efficiency Between Financial and Non-financial Holding Banks and Insurers in Taiwan Under the Framework of Copula Methods and Metafrontier," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 29(4), pages 735-766, December.
    7. Lee, Chi-Chuan & Huang, Tai-Hsin, 2017. "Cost efficiency and technological gap in Western European banks: A stochastic metafrontier analysis," International Review of Economics & Finance, Elsevier, vol. 48(C), pages 161-178.
    8. Nan Jiang & Basil Sharp, 2015. "Technical efficiency and technological gap of New Zealand dairy farms: a stochastic meta-frontier model," Journal of Productivity Analysis, Springer, vol. 44(1), pages 39-49, August.
    9. Nguyen, Hoa-Thi-Minh & Do, Huong & Kompas, Tom, 2021. "Economic efficiency versus social equity: The productivity challenge for rice production in a ‘greying’ rural Vietnam," World Development, Elsevier, vol. 148(C).
    10. Zarkovic, Maja, 2020. "Cap-and-trade and produce at least cost? Investigating firm behaviour in the EU ETS," Working papers 2020/12, Faculty of Business and Economics - University of Basel.
    11. Qian Liu & Yongmu Jiang & Carl‐Johan Lagerkvist & Wei Huang, 2023. "Extension services and the technical efficiency of crop‐specific farms in China," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 45(1), pages 436-459, March.
    12. Safiullah, Md, 2021. "Financial stability efficiency of Islamic and conventional banks," Pacific-Basin Finance Journal, Elsevier, vol. 68(C).
    13. Huang, Tai-Hsin & Chiang, Dien-Lin & Tsai, Chao-Min, 2015. "Applying the New Metafrontier Directional Distance Function to Compare Banking Efficiencies in Central and Eastern European Countries," Economic Modelling, Elsevier, vol. 44(C), pages 188-199.
    14. Li, Hong-Zhou & Kopsakangas-Savolainen, Maria & Yan, Ming-Zhe & Wang, Jian-Lin & Xie, Bai-Chen, 2019. "Which provincial administrative regions in China should reduce their coal consumption? An environmental energy input requirement function based analysis," Energy Policy, Elsevier, vol. 127(C), pages 51-63.
    15. Ligia Alba Melo-Becerra & Antonio José Orozco-Gallo, 2015. "Eficiencia técnica de los hogares con producción agropecuaria en Colombia," Documentos de Trabajo Sobre Economía Regional y Urbana 13903, Banco de la República, Economía Regional.
    16. 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.
    17. Safiullah, Md & Shamsuddin, Abul, 2022. "Technical efficiency of Islamic and conventional banks with undesirable output: Evidence from a stochastic meta-frontier directional distance function," Global Finance Journal, Elsevier, vol. 51(C).
    18. Le, Viet & Vu, Xuan-Binh (Benjamin) & Nghiem, Son, 2018. "Technical efficiency of small and medium manufacturing firms in Vietnam: A stochastic meta-frontier analysis," Economic Analysis and Policy, Elsevier, vol. 59(C), pages 84-91.
    19. Nguyen, Thanh & Nghiem, Son & Bhati, Abhishek Singh, 2024. "Risk-adjusted efficiency and innovation: an examination of systematic difference and convergence among BRIC banks," Economic Systems, Elsevier, vol. 48(1).
    20. Zhang, H. & Fan, L.W. & Zhou, P., 2020. "Handling heterogeneity in frontier modeling of city-level energy efficiency: The case of China," Applied Energy, Elsevier, vol. 279(C).

    More about this item

    Keywords

    Productivity Analysis; Research and Development/Tech Change/Emerging Technologies;

    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:ags:aesc17:258649. 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: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/aesukea.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.