IDEAS home Printed from https://ideas.repec.org/a/spr/ijlaec/v62y2019i3d10.1007_s41027-019-00180-x.html
   My bibliography  Save this article

Agricultural Labour Productivity and Its Determinants in India

Author

Listed:
  • K. Shanmugan

    (The Maharaja Sayajirao University of Baroda)

  • Bhagirath Prakash Baria

    (The Maharaja Sayajirao University of Baroda)

Abstract

This study attempts to modestly undertake an empirical analysis to understand the issues of agricultural labour productivity measured in different dimensions and their determinants and, accordingly, their implications for agricultural growth. Labour productivity is measured as the ratio of total agricultural output to total labour input which can be located in the broader framework of growth accounting method put forth by Solow. The labour productivity index is estimated across four different time-series dimensions. All the estimated productivity indices except labour productivity index based on seasonal and cyclical components show an increasing trend in labour productivity in agriculture though there are very negligible and marginal variations between various estimates across various dimensions of time-series measurements. It is argued here that probably the factors determining cyclical variations in the agricultural output could be different from what they appear to be for the productivity movements in trend. The estimated model clearly exemplifies that rural literacy, electricity consumption, gross capital formation and weather dummy are the most important determinants of labour productivity in the Indian agriculture during the sample period under study.

Suggested Citation

  • K. Shanmugan & Bhagirath Prakash Baria, 2019. "Agricultural Labour Productivity and Its Determinants in India," The Indian Journal of Labour Economics, Springer;The Indian Society of Labour Economics (ISLE), vol. 62(3), pages 431-449, September.
  • Handle: RePEc:spr:ijlaec:v:62:y:2019:i:3:d:10.1007_s41027-019-00180-x
    DOI: 10.1007/s41027-019-00180-x
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s41027-019-00180-x
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s41027-019-00180-x?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Katsushi S. Imai & Raghav Gaiha & Fabrizio Bresciani, 2017. "The Labour Productivity Gap between agricultural and non-agricultural sectors and Poverty in Asia," Discussion Paper Series DP2017-04, Research Institute for Economics & Business Administration, Kobe University, revised May 2018.
    2. Bishnupriya Gupta, 2011. "Wages, unions, and labour productivity: evidence from Indian cotton mills," Economic History Review, Economic History Society, vol. 64(s1), pages 76-98, February.
    3. Emerick, Kyle, 2018. "Agricultural productivity and the sectoral reallocation of labor in rural India," Journal of Development Economics, Elsevier, vol. 135(C), pages 488-503.
    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. Narayanamoorthy, A. & Suresh, R. & Sujitha, K.S., 2020. "Is Labour Productivity of Irrigated Crops Better than Rainfed Crops?: A Meta-Data Analysis," Indian Journal of Agricultural Economics, Indian Society of Agricultural Economics, vol. 0(Number 4), 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. Kubitza, Christoph & Dib, Jonida Bou & Kopp, Thomas & Krishna, Vijesh V. & Nuryartono, Nunung & Qaim, Matin & Romero, Miriam & Klasen, Stephan, 2019. "Labor savings in agriculture and inequality at different spatial scales: The expansion of oil palm in Indonesia," EFForTS Discussion Paper Series 26, University of Goettingen, Collaborative Research Centre 990 "EFForTS, Ecological and Socioeconomic Functions of Tropical Lowland Rainforest Transformation Systems (Sumatra, Indonesia)".
    2. Aimable Nsabimana & Patricia Funjika, 2019. "Mobile phone use, productivity and labour market in Tanzania," WIDER Working Paper Series wp-2019-71, World Institute for Development Economic Research (UNU-WIDER).
    3. Christoph Albert & Paula Bustos & Jacopo Ponticelli, 2021. "The Effects of Climate Change on Labor and Capital Reallocation," NBER Working Papers 28995, National Bureau of Economic Research, Inc.
    4. Junhui Shi & Fang Wang, 2022. "The Effect of High-Speed Rail on Cropland Abandonment in China," Land, MDPI, vol. 11(7), pages 1-16, July.
    5. Hui Hu & Yuqi Zhu & Chien-Chiang Lee & Alastair M. Morrison, 2023. "The effects of foreign product demand-labor transfer nexus on human capital investment in China," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-13, December.
    6. Christoph Albert & Paula Bustos & Jacopo Ponticelli, 2024. "The effects of climate change on labor and capital reallocation," Economics Working Papers 1887, Department of Economics and Business, Universitat Pompeu Fabra.
    7. Abdulla, Kanat, 2021. "Regional convergence and structural transformation in a resource-dependent country," Structural Change and Economic Dynamics, Elsevier, vol. 59(C), pages 548-557.
    8. Jianxu Liu & Mengjiao Wang & Li Yang & Sanzidur Rahman & Songsak Sriboonchitta, 2020. "Agricultural Productivity Growth and Its Determinants in South and Southeast Asian Countries," Sustainability, MDPI, vol. 12(12), pages 1-21, June.
    9. Brookes Gray, Harriet & Taraz, Vis & Halliday, Simon D., 2023. "The impact of weather shocks on employment outcomes: evidence from South Africa," Environment and Development Economics, Cambridge University Press, vol. 28(3), pages 285-305, June.
    10. Yamamoto, Yuki, 2023. "Living under ecosystem degradation: Evidence from the mangrove–fishery linkage in Indonesia," Journal of Environmental Economics and Management, Elsevier, vol. 118(C).
    11. Gupta, Bishnupriya, 2014. "Discrimination or Social Networks? Industrial Investment in Colonial India," The Journal of Economic History, Cambridge University Press, vol. 74(1), pages 141-168, March.
    12. Linsenmeier, Manuel, 2023. "Temperature variability and long-run economic development," Journal of Environmental Economics and Management, Elsevier, vol. 121(C).
    13. Bergquist, Lauren & Faber, Benjamin & Fally, Thibault & Hoelzlein, Matthias & Miguel, Edward & Rodríguez-Clare, Andres, 2022. "Scaling Agricultural Policy Interventions," CEPR Discussion Papers 17737, C.E.P.R. Discussion Papers.
    14. Xinjie Shi & Xuwen Gao & Shile Fang, 2022. "Land System Reform in Rural China: Path and Mechanism," Land, MDPI, vol. 11(8), pages 1-15, August.
    15. Chengzheng Li & Zheng Pan, 2021. "How do extremely high temperatures affect labor market performance? Evidence from rural China," Empirical Economics, Springer, vol. 61(4), pages 2265-2291, October.
    16. K. L. Krishna & J. V. Meenakshi, 2022. "Agricultural Productivity Growth and Structural Transformation in Rural India: Some Recent Evidence," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 20(1), pages 277-302, September.
    17. Cordonnier, Victor & Covarrubias, Katia Alejandra & de la O Campos, Ana Paula, 2022. "Agricultural interventions and food security in Ethiopia – What is the role of adjusting livelihood strategies?," ESA Working Papers 330797, Food and Agriculture Organization of the United Nations, Agricultural Development Economics Division (ESA).
    18. Linsenmeier, Manuel, 2021. "Temperature variability and long-run economic development," LSE Research Online Documents on Economics 110499, London School of Economics and Political Science, LSE Library.
    19. Fang Song & Xuerong Xu, 2023. "How Operation Scale Improve the Production Technical Efficiency of Grape Growers? An Empirical Evidence of Novel Panel Methods for China’s Survey Data," Sustainability, MDPI, vol. 15(4), pages 1-19, February.
    20. Feriga, Moustafa & Lozano Gracia, Nancy & Serneels, Pieter, 2024. "The Impact of Climate Change on Work Lessons for Developing Countries," IZA Discussion Papers 16914, Institute of Labor Economics (IZA).

    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:spr:ijlaec:v:62:y:2019:i:3:d:10.1007_s41027-019-00180-x. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.