IDEAS home Printed from https://ideas.repec.org/p/saq/wpaper/1-23.html
   My bibliography  Save this paper

Technology adoption constraints and Laser Land Levelling: evidence from Karnataka, India

Author

Listed:
  • Lisa Capretti

    (Department of Social Sciences and Economics, Sapienza University of Rome)

Abstract

Climate-smart agriculture can address many of the challenges faced by agriculture in semi-arid areas. However, in many developing countries, the adoption and use of this kind of technology are still low. Knowledge constraints represent a critical barrier to adoption; hence, an effective extension system is key. In India, extension programs are characterized by partnerships involving the public sector, the private sector and NGOs. The latest approaches take advantage of mass media and video-based extension services. In this article, I assess the role of extension services on the adoption of laser land leveling among 604 households in the Indian state of Karnataka. Laser land leveling is a modern way of leveling fields using a laser machine; it also brings environmental, economic and social benefits. Using propensity score matching, I find that visiting the extension center Raita Samparka Kendra (RSK) or receiving visit from RSK officials at least once in a year increases the likelihood of using LLL. Furthermore, a causal mediation analysis reveals that after explaining the advantages of the technology and its cost, farmers develop a perception about the affordability of laser land leveling that mediates the treatment effects of the extension service on laser land leveling adoption. Another mechanism that mediates this relationship, even to a lesser extent, is the increase in farmers’ welfare, proxied by household expenditure.

Suggested Citation

  • Lisa Capretti, 2023. "Technology adoption constraints and Laser Land Levelling: evidence from Karnataka, India," Working Papers 1/23, Sapienza University of Rome, DISS.
  • Handle: RePEc:saq:wpaper:1/23
    as

    Download full text from publisher

    File URL: http://www.diss.uniroma1.it/sites/default/files/allegati/DiSSE_Capretti_wp1_2023.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Stefan Dercon & Daniel O. Gilligan & John Hoddinott & Tassew Woldehanna, 2009. "The Impact of Agricultural Extension and Roads on Poverty and Consumption Growth in Fifteen Ethiopian Villages," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 91(4), pages 1007-1021.
    2. Lori Beaman & Ariel BenYishay & Jeremy Magruder & Ahmed Mushfiq Mobarak, 2021. "Can Network Theory-Based Targeting Increase Technology Adoption?," American Economic Review, American Economic Association, vol. 111(6), pages 1918-1943, June.
    3. Wollni, Meike & Andersson, Camilla, 2014. "Spatial patterns of organic agriculture adoption: Evidence from Honduras," Ecological Economics, Elsevier, vol. 97(C), pages 120-128.
    4. Imai, Kosuke & Keele, Luke & Tingley, Dustin & Yamamoto, Teppei, 2011. "Unpacking the Black Box of Causality: Learning about Causal Mechanisms from Experimental and Observational Studies," American Political Science Review, Cambridge University Press, vol. 105(4), pages 765-789, November.
    5. Tavneet Suri, 2011. "Selection and Comparative Advantage in Technology Adoption," Econometrica, Econometric Society, vol. 79(1), pages 159-209, January.
    6. Timothy G. Conley & Christopher R. Udry, 2010. "Learning about a New Technology: Pineapple in Ghana," American Economic Review, American Economic Association, vol. 100(1), pages 35-69, March.
    7. Muange, Elijah Nzula & Schwarze, Stefan & Qaim, Matin, 2014. "Social networks and farmer exposure to improved cereal varieties in central Tanzania," 2014 International Congress, August 26-29, 2014, Ljubljana, Slovenia 182645, European Association of Agricultural Economists.
    8. Sascha O. Becker & Marco Caliendo, 2007. "Sensitivity analysis for average treatment effects," Stata Journal, StataCorp LP, vol. 7(1), pages 71-83, February.
    9. Gracious M. Diiro & Abdoul G. Sam, 2015. "Agricultural technology adoption and Nonfarm earnings in Uganda: a Semiparametric analysis," Journal of Developing Areas, Tennessee State University, College of Business, vol. 49(2), pages 145-162, April-Jun.
    10. Raymond Hicks & Dustin Tingley, 2011. "Causal mediation analysis," Stata Journal, StataCorp LP, vol. 11(4), pages 605-619, December.
    11. Katsushi S. Imai & Md. Faruq Hasan & Eleonora Porreca, 2015. "Do Agricultural Extension Programmes Reduce Poverty and Vulnerability? Farm Size, Agricultural Productivity and Poverty in Uganda," Discussion Paper Series DP2015-06, Research Institute for Economics & Business Administration, Kobe University.
    12. Kebede, Yohannes & Gunjal, Kisan & Coffin, Garth, 1990. "Adoption of new technologies in Ethiopian agriculture: The case of Tegulet-Bulga district Shoa province," Agricultural Economics, Blackwell, vol. 4(1), pages 27-43, April.
    13. Barbara Sianesi, 2004. "An Evaluation of the Swedish System of Active Labor Market Programs in the 1990s," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 133-155, February.
    14. Samuel Benin & Ephraim Nkonya & Geresom Okecho & Joseé Randriamamonjy & Edward Kato & Geofrey Lubade & Miriam Kyotalimye, 2011. "Returns to spending on agricultural extension: the case of the National Agricultural Advisory Services (NAADS) program of Uganda," Agricultural Economics, International Association of Agricultural Economists, vol. 42(2), pages 249-267, March.
    15. Christopher B. Barrett & Asad Islam & Abdul Mohammad Malek & Debayan Pakrashi & Ummul Ruthbah, 2022. "Experimental Evidence on Adoption and Impact of the System of Rice Intensification," American Journal of Agricultural Economics, John Wiley & Sons, vol. 104(1), pages 4-32, January.
    16. Muange, Elijah N. & Schwarze, Stefan & Qaim, Matin, 2014. "Social networks and farmer exposure to improved crop varieties in Tanzania," GlobalFood Discussion Papers 183635, Georg-August-Universitaet Goettingen, GlobalFood, Department of Agricultural Economics and Rural Development.
    17. Mottaleb, Khondoker A., 2018. "Perception and adoption of a new agricultural technology: Evidence from a developing country," Technology in Society, Elsevier, vol. 55(C), pages 126-135.
    18. Travis J. Lybbert & Nicholas Magnan & David J. Spielman & Anil K. Bhargava & Kajal Gulati, 2018. "Targeting Technology to Increase Smallholder Profits and Conserve Resources: Experimental Provision of Laser Land-Leveling Services to Indian Farmers," Economic Development and Cultural Change, University of Chicago Press, vol. 66(2), pages 265-306.
    19. Andre Croppenstedt & Mulat Demeke & Meloria M. Meschi, 2003. "Technology Adoption in the Presence of Constraints: the Case of Fertilizer Demand in Ethiopia," Review of Development Economics, Wiley Blackwell, vol. 7(1), pages 58-70, February.
    20. Yohannes Kebede & Kisan Gunjal & Garth Coffin, 1990. "Adoption of New Technologies in Ethiopian Agriculture: The Case of Tegulet‐Bulga District, Shoa Province," Agricultural Economics, International Association of Agricultural Economists, vol. 4(1), pages 27-43, April.
    21. Alain de JANVRY & Elisabeth SADOULET & Manzoor DAR & Kyle EMERICK, 2016. "The Agricultural Technology Adoption Puzzle: What Can We Learn From Field Experiments?," Working Papers P178, FERDI.
    22. Imbens,Guido W. & Rubin,Donald B., 2015. "Causal Inference for Statistics, Social, and Biomedical Sciences," Cambridge Books, Cambridge University Press, number 9780521885881.
    23. Barrett, Christopher B. & Islam, Asad & Pakrashi, Debayan & Ruthbah, Ummul, 2021. "Experimental Evidence on Adoption and Impact of the System of rice Intensification," Working Papers 309950, Cornell University, Department of Applied Economics and Management.
    24. Kyle Emerick & Manzoor H. Dar, 2021. "Farmer Field Days and Demonstrator Selection for Increasing Technology Adoption," The Review of Economics and Statistics, MIT Press, vol. 103(4), pages 680-693, October.
    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. Teno, Gabriel & Lehrer, Kim & Kone, Abdoulaye, 2018. "Les facteurs de l’adoption des nouvelles technologies en agriculture en Afrique Subsaharienne: une revue de la littérature," African Journal of Agricultural and Resource Economics, African Association of Agricultural Economists, vol. 13(2), June.
    2. Abay, Kibrom A. & Berhane, Guush & Taffesse, Alemayehu Seyoum & Koru, Bethlehem & Abay, Kibrewossen, 2016. "Understanding farmers’ technology adoption decisions: Input complementarity and heterogeneity:," ESSP working papers 82, International Food Policy Research Institute (IFPRI).
    3. Niu, Chiyu & Ragasa, Catherine, 2018. "Selective attention and information loss in the lab-to-farm knowledge chain: The case of Malawian agricultural extension programs," Agricultural Systems, Elsevier, vol. 165(C), pages 147-163.
    4. Apoorv Gupta & Jacopo Ponticelli & Andrea Tesei, 2020. "Language Barriers, Technology Adoption and Productivity: Evidence from Agriculture in India," NBER Working Papers 27192, National Bureau of Economic Research, Inc.
    5. Ram Fishman & Stephen C. Smith & Vida Bobic & Munshi Sulaiman, 2022. "Can Agricultural Extension and Input Support Be Discontinued? Evidence from a Randomized Phaseout in Uganda," The Review of Economics and Statistics, MIT Press, vol. 104(6), pages 1273-1288, November.
    6. Apoorv Gupta & Jacopo Ponticelli & Andrea Tesei, 2019. "Technology Adoption and Access to Credit via Mobile Phones," Working Papers 892, Queen Mary University of London, School of Economics and Finance.
    7. Abate, Gashaw T. & Bernard, Tanguy & Makhija, Simrin & Spielman, David J., 2023. "Accelerating technical change through ICT: Evidence from a video-mediated extension experiment in Ethiopia," World Development, Elsevier, vol. 161(C).
    8. Adjognon, Guigonan Serge & Liverpool-Tasie, Saweda & Dillon, Andrew & Bloem, Jeffrey, 2021. "Transaction Costs, Input Subsidies, and Climate-Smart Agricultural Technology Adoption: Experimental Evidence from Rice Farmers in Nigeria," 2021 Conference, August 17-31, 2021, Virtual 315157, International Association of Agricultural Economists.
    9. Bloem, Jeffrey R. & Liverpool-Tasie, Saweda & Adjognon, Serge G. & Dillon, Andrew, 2022. "Private Sector Promotion of Climate-Smart Technologies: Experimental Evidence from Nigeria," 2022 Annual Meeting, July 31-August 2, Anaheim, California 322152, Agricultural and Applied Economics Association.
    10. Shamdasani, Yogita, 2021. "Rural road infrastructure & agricultural production: Evidence from India," Journal of Development Economics, Elsevier, vol. 152(C).
    11. Awudu Abdulai, 2023. "Information acquisition and the adoption of improved crop varieties," American Journal of Agricultural Economics, John Wiley & Sons, vol. 105(4), pages 1049-1062, August.
    12. Terrance Hurley & Jawoo Koo & Kindie Tesfaye, 2018. "Weather risk: how does it change the yield benefits of nitrogen fertilizer and improved maize varieties in sub‐Saharan Africa?," Agricultural Economics, International Association of Agricultural Economists, vol. 49(6), pages 711-723, November.
    13. Khushbu Mishra & Abdoul G. Sam & Gracious M. Diiro & Mario J. Miranda, 2020. "Gender and the dynamics of technology adoption: Empirical evidence from a household‐level panel data," Agricultural Economics, International Association of Agricultural Economists, vol. 51(6), pages 857-870, November.
    14. Rema Hanna & Sendhi Mullainathan & Josh Schwartstein, 2012. "Learning Through Noticing: Theory and Experimental Evidence in Farming," CID Working Papers 245, Center for International Development at Harvard University.
    15. Kasirye, Ibrahim, 2013. "Constraints to Agricultural Technology Adoption in Uganda: Evidence from the 2005/06-2009/10 Uganda National Panel Survey," African Journal of Agricultural and Resource Economics, African Association of Agricultural Economists, vol. 8(2), pages 1-18, August.
    16. Ruth Hill & Carolina Mejia-Mantilla & Kathryn Vasilaky, 2021. "Is the Price Right? Returns to Input Adoption in Uganda," Working Papers 2105, California Polytechnic State University, Department of Economics.
    17. Michelson, Hope & Fairbairn, Anna & Ellison, Brenna & Maertens, Annemie & Manyong, Victor, 2021. "Misperceived quality: Fertilizer in Tanzania," Journal of Development Economics, Elsevier, vol. 148(C).
    18. Jutao Zeng & Jie Lyu, 2023. "Simultaneous Decisions to Undertake Off-Farm Work and Straw Return: The Role of Cognitive Ability," Land, MDPI, vol. 12(8), pages 1-21, August.
    19. Kate Vaiknoras & Catherine Larochelle, 2023. "Training and seed production spillovers and technology adoption: The case of seed producer groups in Nepal," Agricultural Economics, International Association of Agricultural Economists, vol. 54(6), pages 921-942, November.
    20. Muluken Gezahegn Wordofa & Maria Sassi, 2017. "Impact of Farmers’ Training Centres on Household Income: Evidence from Propensity Score Matching in Eastern Ethiopia," Social Sciences, MDPI, vol. 7(1), pages 1-12, December.

    More about this item

    Keywords

    Climate-smart agriculture; Extension services; Mediation analysis;
    All these keywords.

    JEL classification:

    • Q15 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Land Ownership and Tenure; Land Reform; Land Use; Irrigation; Agriculture and Environment
    • Q16 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - R&D; Agricultural Technology; Biofuels; Agricultural Extension Services
    • O12 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Microeconomic Analyses of Economic Development
    • O13 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Agriculture; Natural Resources; Environment; Other Primary Products
    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models

    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:saq:wpaper:1/23. 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: Pierluigi Montalbano (email available below). General contact details of provider: https://edirc.repec.org/data/dtrosit.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.