IDEAS home Printed from https://ideas.repec.org/p/ags/iaae15/212450.html
   My bibliography  Save this paper

Economic-Environmental Trade-offs and the Conservativeness of the Upper Partial Moment

Author

Listed:
  • Matthews, Nicolette
  • Grove, Bennie

Abstract

Probabilistic programming are typically used to model economic-environmental trade-when environmental outcomes are stochastic. Application of available probabilistic programming techniques such as the upper partial moment (UPM) is problematic due to the conservativeness of the estimated the compliance probability. Conservatively estimated trade-offs may result in overregulation of agricultural production practices. Although the conservativeness of the UPM is usually acknowledged by researchers, none of the researchers investigated the size of conservativeness of the UPM. An alternative non-linear trade-off model specification is developed to investigate the conservativeness of the UPM. Meta data from the validated Soil Water Balance (SWB) crop growth simulation model for irrigated maize in South Africa is used to show that the UPM is very conservative in the estimation of the trade-offs comparing to the new method. However, the size of the conservativeness is very situation-specific and varies due to differences in fixed resources, fertilizer application methods and conservativeness measures.

Suggested Citation

  • Matthews, Nicolette & Grove, Bennie, 2015. "Economic-Environmental Trade-offs and the Conservativeness of the Upper Partial Moment," 2015 Conference, August 9-14, 2015, Milan, Italy 212450, International Association of Agricultural Economists.
  • Handle: RePEc:ags:iaae15:212450
    DOI: 10.22004/ag.econ.212450
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/212450/files/Matthews-Economic-environmental%20trade-offs%20and%20the%20conservativeness-625.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.212450?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. James Shortle & David Abler & Richard Horan, 1998. "Research Issues in Nonpoint Pollution Control," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 11(3), pages 571-585, April.
    2. Fishburn, Peter C, 1977. "Mean-Risk Analysis with Risk Associated with Below-Target Returns," American Economic Review, American Economic Association, vol. 67(2), pages 116-126, March.
    3. Stoorvogel, J. J. & Antle, J. M. & Crissman, C. C. & Bowen, W., 2004. "The tradeoff analysis model: integrated bio-physical and economic modeling of agricultural production systems," Agricultural Systems, Elsevier, vol. 80(1), pages 43-66, April.
    4. Peter Berck & Jairus M. Hihn, 1982. "Using the Semivariance to Estimate Safety-First Rules," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 64(2), pages 298-300.
    5. Joseph Atwood, 1985. "Demonstration of the Use of Lower Partial Moments to Improve Safety-First Probability Limits," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 67(4), pages 787-793.
    6. Peterson, Jeffrey M. & Boisvert, Richard N., 2001. "Designing Nonpoint Source Pollution Policies With Limited Information About Both Risk Attitudes And Production Technology," 2001 Annual meeting, August 5-8, Chicago, IL 20720, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    7. Zeyuan Qiu & Tony Prato & Francis McCamley, 2001. "Evaluating Environmental Risks Using Safety-First Constraints," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 83(2), pages 402-413.
    8. Kim, C.S. & Schaible, Glenn D. & Segarra, Eduardo, 1990. "The Deterministic Equivalents of Chance-Constrained Programming," Journal of Agricultural Economics Research, United States Department of Agriculture, Economic Research Service, vol. 42(2), pages 1-9.
    9. Atwood, Joseph A. & Watts, Myles J. & Helmers, Glenn A. & Held, Larry J., 1988. "Incorporating Safety-First Constraints In Linear Programming Production Models," Western Journal of Agricultural Economics, Western Agricultural Economics Association, vol. 13(1), pages 1-8, July.
    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. Atwood, Joseph & Shaik, Saleem, 2020. "Theory and statistical properties of Quantile Data Envelopment Analysis," European Journal of Operational Research, Elsevier, vol. 286(2), pages 649-661.
    2. Athanasios Kampas & Ben White, 2004. "Administrative Costs and Instrument Choice for Stochastic Non-point Source Pollutants," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 27(2), pages 109-133, February.
    3. Wetzstein, Michael E. & Szmedra, Philip I. & McClendon, Ronald W. & Edwards, David M., 1988. "Efficiency Criteria And Risk Aversion: An Empirical Evaluation," Southern Journal of Agricultural Economics, Southern Agricultural Economics Association, vol. 20(1), pages 1-8, July.
    4. Kalashami, Mohammad Kavoosi & Sabbagi, Mohammad Aghapour & Alipour, Hamid Reza, 2011. "Using Probabilistic-Risky Programming Models in Identifying Optimized Pattern of Cultivation under Risk Conditions (Case Study: Shoshtar Region)," International Journal of Agricultural Management and Development (IJAMAD), Iranian Association of Agricultural Economics, vol. 1(1), pages 1-9, March.
    5. Watts, Myles J. & Atwood, Joseph A. & Helmers, Glenn A. & Held, Larry J., 1989. "Safety First Programming- A Zero-One Approach," 1989 Annual Meeting, July 30-August 2, Baton Rouge, Louisiana 270679, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    6. Lambart, David K. & Harris, Thomas R., 1991. "Multi-Period Rangeland Investment Analysis with Safety-First constraints and Uncertain Data," 1991 Annual Meeting, August 4-7, Manhattan, Kansas 271157, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    7. Christiaensen, Luc J.M. & Boisvert, Richard N., 2000. "On Measuring Household Food Vulnerability: Case Evidence from Northern Mali," Working Papers 127676, Cornell University, Department of Applied Economics and Management.
    8. Lokonon, Boris Odilon & Savadogo, Kimseyinga & Mbaye, Ahmadou, 2015. "Assessing the impacts of climate shocks on farm performance and adaptation responses in the Niger basin of Benin," African Journal of Agricultural and Resource Economics, African Association of Agricultural Economists, vol. 10(3), pages 1-16, September.
    9. Cochran, Mark J., 1986. "Stochastic Dominance: The State Of The Art In Agricultural Economics," Regional Research Projects > 1986: S-180 Annual Meeting, March 23-26, 1986, Tampa, Florida 271995, Regional Research Projects > S-180: An Economic Analysis of Risk Management Strategies for Agricultural Production Firms.
    10. Atwood, Joseph A. & Watts, Myles J. & Helmers, Glenn A. & Held, Larry J., 1988. "Incorporating Safety-First Constraints In Linear Programming Production Models," Western Journal of Agricultural Economics, Western Agricultural Economics Association, vol. 13(1), pages 1-8, July.
    11. Lambert, David K. & Harris, Thomas R., 1990. "Stochastic Dynamic Optimization And Rangeland Investment Decisions," Western Journal of Agricultural Economics, Western Agricultural Economics Association, vol. 15(2), pages 1-10, December.
    12. Frans P. Vries & Nick Hanley, 2016. "Incentive-Based Policy Design for Pollution Control and Biodiversity Conservation: A Review," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 63(4), pages 687-702, April.
    13. Dipankar Mondal & N. Selvaraju, 2022. "Convexity, two-fund separation and asset ranking in a mean-LPM portfolio selection framework," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 44(1), pages 225-248, March.
    14. Ghimire, Narishwar & Woodward, Richard T., 2013. "Under- and over-use of pesticides: An international analysis," Ecological Economics, Elsevier, vol. 89(C), pages 73-81.
    15. Wojtek Michalowski & Włodzimierz Ogryczak, 2001. "Extending the MAD portfolio optimization model to incorporate downside risk aversion," Naval Research Logistics (NRL), John Wiley & Sons, vol. 48(3), pages 185-200, April.
    16. Amon-Armah, Frederick & Yiridoe, Emmanuel K. & Hebb, Dale & Jamieson, Rob, 2013. "Nitrogen abatement cost comparison for cropping systems under alternative management choices," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 149915, Agricultural and Applied Economics Association.
    17. Ogryczak, Wlodzimierz & Ruszczynski, Andrzej, 1999. "From stochastic dominance to mean-risk models: Semideviations as risk measures," European Journal of Operational Research, Elsevier, vol. 116(1), pages 33-50, July.
    18. Rui Pedro Brito & Hélder Sebastião & Pedro Godinho, 2016. "Efficient skewness/semivariance portfolios," Journal of Asset Management, Palgrave Macmillan, vol. 17(5), pages 331-346, September.
    19. Jesus Gonzalo & Jose Olmo, 2014. "Conditional Stochastic Dominance Tests In Dynamic Settings," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 55(3), pages 819-838, August.
    20. Elie Matta & Jean McGuire, 2008. "Too Risky to Hold? The Effect of Downside Risk, Accumulated Equity Wealth, and Firm Performance on CEO Equity Reduction," Organization Science, INFORMS, vol. 19(4), pages 567-580, August.

    More about this item

    Keywords

    Environmental Economics and Policy;

    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:iaae15:212450. 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/iaaeeea.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.