IDEAS home Printed from https://ideas.repec.org/p/fpr/ifprid/1636.html
   My bibliography  Save this paper

Can agricultural aspirations influence preferences for new technologies? Cropping systems and preferences for high-efficiency irrigation in Punjab, Pakistan

Author

Listed:
  • Bell, Andrew R.
  • Ward, Patrick S.
  • Ashfaq, Muhammad
  • Davies, Stephen

Abstract

In the face of increasing environmental stresses, there is a critical need to improve water-use efficiency in many arid and semiarid agroclimatic zones. Drip irrigation is a high-efficiency irrigation technology that can improve water-use efficiency in currently irrigated areas and transform areas that are not otherwise irrigable in practice. Although adoption of drip irrigation is growing rapidly in India, adoption is low in neighboring Pakistan. The authors of this paper undertook a discrete choice experiment framed around the hypothetical subsidized purchase of a drip irrigation system in four districts of Punjab, Pakistan. The nonrepresentative sample of adopters and nonadopters in the study districts identified a clear increase in the valuation of drip systems in the first several years following adoption. This finding suggests that farmers may be unaware of the opportunities for the use of drip irrigation on their farms or the benefits that may accrue from such use. In addition, farmers’ aspirations for cropping systems under drip were better predictors of the valuation of drip systems than were current cropping patterns, implying that a different agricultural landscape might reasonably emerge under improved adoption of drip. Aspirations differed across the different agroecological zones and water regimes captured by this study. Aspirations to substitute wheat crops for fruits and vegetables were associated with a higher appreciation of the subsidy level, whereas aspirations to expand wheat were associated with a higher appreciation of the area covered by the drip initiative; together, these findings imply a degree of control over the extent of wheat production in the landscape via careful design of the drip subsidy program. Although the penetration of drip irrigation is not yet sufficient to draw inferences from a representative sample, these results suggest a number of ways in which drip irrigation may transform Pakistan’s agricultural landscape

Suggested Citation

  • Bell, Andrew R. & Ward, Patrick S. & Ashfaq, Muhammad & Davies, Stephen, 2017. "Can agricultural aspirations influence preferences for new technologies? Cropping systems and preferences for high-efficiency irrigation in Punjab, Pakistan," IFPRI discussion papers 1636, International Food Policy Research Institute (IFPRI).
  • Handle: RePEc:fpr:ifprid:1636
    as

    Download full text from publisher

    File URL: http://cdm15738.contentdm.oclc.org/utils/getfile/collection/p15738coll2/id/131156/filename/131367.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Chandrakanth, M.G. & Priyanka, C.N. & Mamatha, P. & Patil, Kiran K., 2013. "Economic Benefits from Micro Irrigation for Dry Land Crops in Karnataka," Indian Journal of Agricultural Economics, Indian Society of Agricultural Economics, vol. 68(3), pages 1-13.
    2. Daniel McFadden & Kenneth Train, 2000. "Mixed MNL models for discrete response," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(5), pages 447-470.
    3. Morey Burnham & Zhao Ma & Delan Zhu, 2015. "Erratum to: The human dimensions of water saving irrigation: lessons learned from Chinese smallholder farmers," Agriculture and Human Values, Springer;The Agriculture, Food, & Human Values Society (AFHVS), vol. 32(2), pages 361-362, June.
    4. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555.
    5. David Revelt & Kenneth Train, 1998. "Mixed Logit With Repeated Choices: Households' Choices Of Appliance Efficiency Level," The Review of Economics and Statistics, MIT Press, vol. 80(4), pages 647-657, November.
    6. repec:bla:devpol:v:22:y:2004:i::p:443-462 is not listed on IDEAS
    7. Mushtaq, S. & Maraseni, T.N. & Reardon-Smith, K., 2013. "Climate change and water security: Estimating the greenhouse gas costs of achieving water security through investments in modern irrigation technology," Agricultural Systems, Elsevier, vol. 117(C), pages 78-89.
    8. Louviere,Jordan J. & Hensher,David A. & Swait,Joffre D., 2000. "Stated Choice Methods," Cambridge Books, Cambridge University Press, number 9780521788304, September.
    9. Barker, Randolph & Molle, François, 2004. "Evolution of irrigation in South and Southeast Asia," IWMI Research Reports H035439, International Water Management Institute.
    10. Hess, Stephane & Hensher, David A., 2010. "Using conditioning on observed choices to retrieve individual-specific attribute processing strategies," Transportation Research Part B: Methodological, Elsevier, vol. 44(6), pages 781-790, July.
    11. Morey Burnham & Zhao Ma & Delan Zhu, 2015. "The human dimensions of water saving irrigation: lessons learned from Chinese smallholder farmers," Agriculture and Human Values, Springer;The Agriculture, Food, & Human Values Society (AFHVS), vol. 32(2), pages 347-360, 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. Ward, Patrick S. & Makhija, Simrin & Spielman, David J., 2020. "Drought-tolerant rice, weather index insurance, and comprehensive risk management for smallholders: evidence from a multi-year field experiment in India," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 64(2), April.

    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. Ortega, David L. & Wang, H. Holly & Wu, Laping & Hong, Soo Jeong, 2015. "Retail channel and consumer demand for food quality in China," China Economic Review, Elsevier, vol. 36(C), pages 359-366.
    2. Christian A. Oberst & Reinhard Madlener, 2015. "Prosumer Preferences Regarding the Adoption of Micro†Generation Technologies: Empirical Evidence for German Homeowners," Working Papers 2015.07, International Network for Economic Research - INFER.
    3. Stefania Troiano & Daniel Vecchiato & Francesco Marangon & Tiziano Tempesta & Federico Nassivera, 2019. "Households’ Preferences for a New ‘Climate-Friendly’ Heating System: Does Contribution to Reducing Greenhouse Gases Matter?," Energies, MDPI, vol. 12(13), pages 1-19, July.
    4. Siikamaki, Juha & Layton, David F., 2007. "Discrete choice survey experiments: A comparison using flexible methods," Journal of Environmental Economics and Management, Elsevier, vol. 53(1), pages 122-139, January.
    5. Galassi, Veronica & Madlener, Reinhard, 2017. "The Role of Environmental Concern and Comfort Expectations in Energy Retrofit Decisions," Ecological Economics, Elsevier, vol. 141(C), pages 53-65.
    6. Abildtrup, Jens & Garcia, Serge & Olsen, Søren Bøye & Stenger, Anne, 2013. "Spatial preference heterogeneity in forest recreation," Ecological Economics, Elsevier, vol. 92(C), pages 67-77.
    7. Hoyos, David, 2010. "The state of the art of environmental valuation with discrete choice experiments," Ecological Economics, Elsevier, vol. 69(8), pages 1595-1603, June.
    8. Ida, Takanori & Goto, Rei, 2009. "Interdependency among addictive behaviours and time/risk preferences: Discrete choice model analysis of smoking, drinking, and gambling," Journal of Economic Psychology, Elsevier, vol. 30(4), pages 608-621, August.
    9. Teferi, Ermias Tesfaye & Kassie, Girma T. & Pe, Mario Enrico & Fadda, Carlo, 2020. "Are farmers willing to pay for climate related traits of wheat? Evidence from rural parts of Ethiopia," Agricultural Systems, Elsevier, vol. 185(C).
    10. Joan L. Walker & Moshe Ben-Akiva & Denis Bolduc, 2007. "Identification of parameters in normal error component logit-mixture (NECLM) models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(6), pages 1095-1125.
    11. Sergio Colombo & Nick Hanley & Jordan Louviere, 2009. "Modeling preference heterogeneity in stated choice data: an analysis for public goods generated by agriculture," Agricultural Economics, International Association of Agricultural Economists, vol. 40(3), pages 307-322, May.
    12. Madeleine King & Rosalie Viney & Ishrat Hossain & David Smith & Sandra Fowler & Elizabeth Savage & Bruce Armstrong, 2006. "Men?s preferences for treatment of early stage prostate cancer: Results from a discrete choice experiment, CHERE Working Paper 2006/14," Working Papers 2006/14, CHERE, University of Technology, Sydney.
    13. Carlsson, Fredrik & Frykblom, Peter & Lagerkvist, Carl Johan, 2007. "Farm Animal Welfare—Testing for Market Failure," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 39(1), pages 61-73, April.
    14. Haghani, Milad & Bliemer, Michiel C.J. & Hensher, David A., 2021. "The landscape of econometric discrete choice modelling research," Journal of choice modelling, Elsevier, vol. 40(C).
    15. Søren Olsen, 2009. "Choosing Between Internet and Mail Survey Modes for Choice Experiment Surveys Considering Non-Market Goods," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 44(4), pages 591-610, December.
    16. Ward, Patrick S. & Makhija, Simrin, 2018. "New modalities for managing drought risk in rainfed agriculture: Evidence from a discrete choice experiment in Odisha, India," World Development, Elsevier, vol. 107(C), pages 163-175.
    17. Anderson, Christopher M. & Das, Chhandita & Tyrrell, Timothy J., 2006. "Parking preferences among tourists in Newport, Rhode Island," Transportation Research Part A: Policy and Practice, Elsevier, vol. 40(4), pages 334-353, May.
    18. Ida, Takanori & Takemura, Kosuke & Sato, Masayuki, 2015. "Inner conflict between nuclear power generation and electricity rates: A Japanese case study," Energy Economics, Elsevier, vol. 48(C), pages 61-69.
    19. Mohammed H. Alemu & Søren B. Olsen, 2017. "Can a Repeated Opt-Out Reminder remove hypothetical bias in discrete choice experiments? An application to consumer valuation of novel food products," IFRO Working Paper 2017/05, University of Copenhagen, Department of Food and Resource Economics.
    20. Richard G. Newell & Juha Siikamäki, 2014. "Nudging Energy Efficiency Behavior: The Role of Information Labels," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 1(4), pages 555-598.

    More about this item

    Keywords

    trickle irrigation; irrigation systems; experimentation; water supply; water use efficiency; choice experiment; Punjab Irrigated-agriculture Productivity Improvement Project (PIPIP); drip irrigation;
    All these keywords.

    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:fpr:ifprid:1636. 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: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/ifprius.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.