IDEAS home Printed from https://ideas.repec.org/a/spt/admaec/v7y2017i1f7_1_6.html
   My bibliography  Save this article

What Drives Labour Productivity in the Ageing Agriculture of Thailand?

Author

Listed:
  • Waleerat Suphannachart

Abstract

Thailand has particularly low labour productivity in agriculture as compared to industry and services. The situation is worrisome as the country population is increasingly ageing amidst the slow pace of structural transformation and the confronting middle-income trap. It is thus the purpose of this paper to investigate factors affecting labour productivity in the agricultural sector of Thailand taking into account the role of population ageing. The error correction modeling technique and time series data during 1970-2014 are employed to examine sources of the agricultural labour productivity. The results show that major factors positively influencing the agricultural labour productivity are the capital-labour ratio, land-labour ratio, research budget-labour ratio, and education level. However, there is no statistical evidence that the population ageing variable has a significant impact on the productivity. The results highlight the importance of physical capital accumulation, farm size, agricultural research, and human capital investment.JEL classification numbers: J24, O13Keywords: Labour Productivity, Population Ageing, Thai Agriculture

Suggested Citation

  • Waleerat Suphannachart, 2017. "What Drives Labour Productivity in the Ageing Agriculture of Thailand?," Advances in Management and Applied Economics, SCIENPRESS Ltd, vol. 7(1), pages 1-6.
    • Handle: RePEc:spt:admaec:v:7:y:2017:i:1:f:7_1_6
    as

    Download full text from publisher

    File URL: http://www.scienpress.com/Upload/AMAE%2fVol%207_1_6.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. David E. Bloom & David Canning & Günther Fink, 2010. "Implications of population ageing for economic growth," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 26(4), pages 583-612, Winter.
    2. Trevor Tombe, 2015. "The Missing Food Problem: Trade, Agriculture, and International Productivity Differences," American Economic Journal: Macroeconomics, American Economic Association, vol. 7(3), pages 226-258, July.
    3. Hendry, David F. & Pagan, Adrian R. & Sargan, J.Denis, 1984. "Dynamic specification," Handbook of Econometrics, in: Z. Griliches† & M. D. Intriligator (ed.), Handbook of Econometrics, edition 1, volume 2, chapter 18, pages 1023-1100, Elsevier.
    4. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 39(3), pages 106-135.
    5. 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.
    6. Mr. Vladimir Klyuev, 2015. "Structural Transformation — How Does Thailand Compare?," IMF Working Papers 2015/051, International Monetary Fund.
    7. Hendry, David F., 1995. "Dynamic Econometrics," OUP Catalogue, Oxford University Press, number 9780198283164.
    8. Davidson, James E H, et al, 1978. "Econometric Modelling of the Aggregate Time-Series Relationship between Consumers' Expenditure and Income in the United Kingdom," Economic Journal, Royal Economic Society, vol. 88(352), pages 661-692, December.
    9. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
    10. Waleerat Suphannachart & Peter Warr, 2011. "Research and productivity in Thai agriculture," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 55(1), pages 35-52, January.
    11. Peter C. B. Phillips & Bruce E. Hansen, 1990. "Statistical Inference in Instrumental Variables Regression with I(1) Processes," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 57(1), pages 99-125.
    12. Evenson, Robert E., 2001. "Economic impacts of agricultural research and extension," Handbook of Agricultural Economics, in: B. L. Gardner & G. C. Rausser (ed.), Handbook of Agricultural Economics, edition 1, volume 1, chapter 11, pages 573-628, Elsevier.
    13. Ross Guest, 2011. "Population Ageing, Capital Intensity And Labour Productivity," Pacific Economic Review, Wiley Blackwell, vol. 16(3), pages 371-388, August.
    14. Ilmakunnas, Pekka & Miyakoshi, Tatsuyoshi, 2013. "What are the drivers of TFP in the Aging Economy? Aging labor and ICT capital," Journal of Comparative Economics, Elsevier, vol. 41(1), pages 201-211.
    15. Subodh Kumar & R. Robert Russell, 2002. "Technological Change, Technological Catch-up, and Capital Deepening: Relative Contributions to Growth and Convergence," American Economic Review, American Economic Association, vol. 92(3), pages 527-548, June.
    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. Nutchapon Prasertsoong & Nattapong Puttanapong, 2022. "Regional Wage Differences and Agglomeration Externalities: Micro Evidence from Thai Manufacturing Workers," Economies, MDPI, vol. 10(12), pages 1-22, December.

    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. Suphannachart, Waleerat & Warr, Peter, 2011. "Research and productivity in Thai agriculture," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 55(1), pages 1-18.
    2. Charles G. Renfro, 2009. "The Practice of Econometric Theory," Advanced Studies in Theoretical and Applied Econometrics, Springer, number 978-3-540-75571-5, July-Dece.
    3. Ang, James B., 2008. "What are the mechanisms linking financial development and economic growth in Malaysia," Economic Modelling, Elsevier, vol. 25(1), pages 38-53, January.
    4. Meng Lin, 2022. "The Conflict between Technology and Scale: Evidence from China’s Wooden Furniture Industry," Sustainability, MDPI, vol. 15(1), pages 1-15, December.
    5. André Kallåk Anundsen & Ragnar Nymoen, 2015. "Did US Consumers 'Save for a Rainy Day' Before the Great Recession?," CESifo Working Paper Series 5347, CESifo.
    6. Julia Campos & Neil R. Ericsson & David F. Hendry, 2005. "General-to-specific modeling: an overview and selected bibliography," International Finance Discussion Papers 838, Board of Governors of the Federal Reserve System (U.S.).
    7. Lütkepohl, Helmut, 1999. "Vector autoregressions," SFB 373 Discussion Papers 1999,4, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
    8. Hendry, David F. & Ericsson, Neil R., 1991. "Modeling the demand for narrow money in the United Kingdom and the United States," European Economic Review, Elsevier, vol. 35(4), pages 833-881, May.
    9. David F. Hendry & Grayham E. Mizon, 2016. "Improving the teaching of econometrics," Cogent Economics & Finance, Taylor & Francis Journals, vol. 4(1), pages 1170096-117, December.
    10. Banerjee, Piyali & Arčabić, Vladimir & Lee, Hyejin, 2017. "Fourier ADL cointegration test to approximate smooth breaks with new evidence from Crude Oil Market," Economic Modelling, Elsevier, vol. 67(C), pages 114-124.
    11. Neil R. Ericsson & James G. MacKinnon, 2002. "Distributions of error correction tests for cointegration," Econometrics Journal, Royal Economic Society, vol. 5(2), pages 285-318, June.
    12. Ericsson, Neil R., 1992. "Cointegration, exogeneity, and policy analysis: An overview," Journal of Policy Modeling, Elsevier, vol. 14(3), pages 251-280, June.
    13. Lütkepohl, Helmut, 1999. "Vector autoregressive analysis," SFB 373 Discussion Papers 1999,31, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
    14. Lahura, Erick, 2017. "El efecto traspaso de la tasa de interés de política monetaria en Perú: evidencia reciente," Revista Estudios Económicos, Banco Central de Reserva del Perú, issue 33, pages 9-27.
    15. Søren Johansen, 2014. "Times Series: Cointegration," Discussion Papers 14-24, University of Copenhagen. Department of Economics.
    16. Lal, Amant, 2009. "An Empirical Time Series Model of Economic Growth and Environment," MPRA Paper 66475, University Library of Munich, Germany.
    17. Ansgar Belke & Robert Czudaj, 2010. "Is Euro Area Money Demand (Still) Stable? Cointegrated VAR Versus Single Equation Techniques," Applied Economics Quarterly (formerly: Konjunkturpolitik), Duncker & Humblot, Berlin, vol. 56(4), pages 285-315.
    18. Ekaterini Panopoulou, 2005. "A Resolution of the Fisher Effect Puzzle: A Comparison of Estimators," Money Macro and Finance (MMF) Research Group Conference 2005 18, Money Macro and Finance Research Group.
    19. Enrique Moral-Benito & Luis Serv鮠, 2015. "Testing weak exogeneity in cointegrated panels," Applied Economics, Taylor & Francis Journals, vol. 47(30), pages 3216-3228, June.
    20. Abdul Qayyum, 2000. "Demand for Real Money Balances by the Business Sector: An Econometric Investigation," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 39(4), pages 857-873.

    More about this item

    Keywords

    labour productivity; population ageing; thai agriculture;
    All these keywords.

    JEL classification:

    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity

    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:spt:admaec:v:7:y:2017:i:1:f:7_1_6. 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: Eleftherios Spyromitros-Xioufis (email available below). General contact details of provider: http://www.scienpress.com/ .

    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.