IDEAS home Printed from https://ideas.repec.org/a/ris/apltrx/0134.html
   My bibliography  Save this article

Alternative Methodologies for Social Assessment of Environmental Projects

Author

Listed:
  • Gonzalez, Cristian

    (Geneva University)

Abstract

The main objective of this contribution is to propose different methodologies in order to find and compare new so-lutions for evaluating social projects. We have chosen two approaches: hedonic price and contingent valuation. These procedures can be presented in a quantitative and/or qualitative form. We emphasize the social assessment in terms of benefits of the related environmental projects.

Suggested Citation

  • Gonzalez, Cristian, 2007. "Alternative Methodologies for Social Assessment of Environmental Projects," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 8(4), pages 103-124.
  • Handle: RePEc:ris:apltrx:0134
    as

    Download full text from publisher

    File URL: http://pe.cemi.rssi.ru/pe_2007_4_103-124.pdf
    File Function: Full text
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Chow, Gregory C & Lin, An-loh, 1971. "Best Linear Unbiased Interpolation, Distribution, and Extrapolation of Time Series by Related Series," The Review of Economics and Statistics, MIT Press, vol. 53(4), pages 372-375, November.
    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. João C. Claudio & Katja Heinisch & Oliver Holtemöller, 2020. "Nowcasting East German GDP growth: a MIDAS approach," Empirical Economics, Springer, vol. 58(1), pages 29-54, January.
    2. Hartwell, Christopher A., 2014. "The impact of institutional volatility on financial volatility in transition economies : a GARCH family approach," BOFIT Discussion Papers 6/2014, Bank of Finland, Institute for Economies in Transition.
    3. Jérôme Héricourt & Iuliana Matei, 2007. "Transmission de la politique monétaire dans les pays d'E urope centrale et orientale : que savons-nous vraiment ?," Economie & Prévision, La Documentation Française, vol. 0(4), pages 221-238.
    4. Kim, Hyun Hak & Swanson, Norman R., 2018. "Mining big data using parsimonious factor, machine learning, variable selection and shrinkage methods," International Journal of Forecasting, Elsevier, vol. 34(2), pages 339-354.
    5. Sun, Hang & Bos, Jaap W.B. & Li, Zhuo, 2017. "In the Nick of Time: A Heteroskedastic SVAR Model and Its Application to the Crude Oil Futures Market," Research Memorandum 019, Maastricht University, Graduate School of Business and Economics (GSBE).
    6. Barnett, William A. & Su, Liting, 2017. "Data sources for the credit-card augmented Divisia monetary aggregates," Research in International Business and Finance, Elsevier, vol. 39(PB), pages 899-910.
    7. Christian Schoder, 2014. "The fundamentals of sovereign debt sustainability: evidence from 15 OECD countries," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 41(2), pages 247-271, May.
    8. Fabio Pammolli & Francesco Porcelli & Francesco Vidoli & Monica Auteri & Guido Borà, 2017. "La spesa sanitaria delle Regioni in Italia - Saniregio2017," Working Papers CERM 01-2017, Competitività, Regole, Mercati (CERM).
    9. Sakkarin Nonthapot & Tanawat Watchalaanun, 2023. "Effects of Deglobalization on Food and Energy Insecurity in the GMS Countries," International Journal of Energy Economics and Policy, Econjournals, vol. 13(5), pages 374-381, September.
    10. Elstner, Steffen & Grimme, Christian & Kecht, Valentin & Lehmann, Robert, 2022. "The diffusion of technological progress in ICT," European Economic Review, Elsevier, vol. 149(C).
    11. Budnik, Katarzyna & Bochmann, Paul, 2017. "Capital and liquidity buffers and the resilience of the banking system in the euro area," Working Paper Series 2120, European Central Bank.
    12. Proietti, Tommaso, 2008. "Estimation of Common Factors under Cross-Sectional and Temporal Aggregation Constraints: Nowcasting Monthly GDP and its Main Components," MPRA Paper 6860, University Library of Munich, Germany.
    13. Vosen, Simeon & Schmidt, Torsten, 2012. "A monthly consumption indicator for Germany based on Internet search query data," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 19(7), pages 683-687.
    14. Muñoz, Sònia, 2004. "Real effects of regional house prices: dynamic panel estimation with heterogeneity," LSE Research Online Documents on Economics 24704, London School of Economics and Political Science, LSE Library.
    15. Yusifzada, Tural, 2022. "Response of Inflation to the Climate Stress: Evidence from Azerbaijan," MPRA Paper 116522, University Library of Munich, Germany, revised 20 Sep 2022.
    16. Litterman, Robert B, 1983. "A Random Walk, Markov Model for the Distribution of Time Series," Journal of Business & Economic Statistics, American Statistical Association, vol. 1(2), pages 169-173, April.
    17. Kim Abildgren, 2016. "A century of macro-financial linkages," Journal of Financial Economic Policy, Emerald Group Publishing Limited, vol. 8(4), pages 458-471, November.
    18. Kohlbrecher, Britta & Merkl, Christian, 2022. "Business cycle asymmetries and the labor market," Journal of Macroeconomics, Elsevier, vol. 73(C).
    19. Artis, Michael, 2002. "Dating the Business Cycle in Britain," National Institute Economic Review, National Institute of Economic and Social Research, vol. 182, pages 90-95, October.
    20. Pieroni, Luca & d'Agostino, Giorgio & Lorusso, Marco, 2008. "Can we declare military Keynesianism dead?," Journal of Policy Modeling, Elsevier, vol. 30(5), pages 675-691.

    More about this item

    Keywords

    social projects; environmental projects; evaluation;
    All these keywords.

    JEL classification:

    • H43 - Public Economics - - Publicly Provided Goods - - - Project Evaluation; Social Discount Rate

    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:ris:apltrx:0134. 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: Anatoly Peresetsky (email available below). General contact details of provider: http://appliedeconometrics.cemi.rssi.ru/ .

    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.