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Statistical Study On Protection And Human Development In Romania, From The Perspective Of Sustainable Development


  • Ilie Murãriþa

    (University of Craiova, Faculty of Economics and Business Administration, Craiova, Romania)

  • Florin Cristian Ciurlãu

    (Dimitrie Cantemir University, Faculty of Finance, Banking and Accountancy, Bucharest, Romania)

  • Eleonora Daniela Ciupeanu-Cãlugãru

    (University of Craiova, Faculty of Agriculture and Horticulture, Craiova, Romania)


Sustainable development is a broad concept currently debated. It is an important objective of mankind, even in the third millennium. Objectives of sustainable development in our country are contained in two groups: the “critical challenges” and “inter and trans-sectorial issues”. “Critical challenge” is to “protect the environment” and “protection and human development”. In this article, the authors pursue a statistical analysis of indicators aimed at protection and human development, so one of the most important directions of sustainable development.

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  • Ilie Murãriþa & Florin Cristian Ciurlãu & Eleonora Daniela Ciupeanu-Cãlugãru, 2011. "Statistical Study On Protection And Human Development In Romania, From The Perspective Of Sustainable Development," Revista Tinerilor Economisti (The Young Economists Journal), University of Craiova, Faculty of Economics and Business Administration, vol. 1(17), pages 215-225, November.
  • Handle: RePEc:aio:rteyej:v:1:y:2011:i:17:p:215-225

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    References listed on IDEAS

    1. Lisa A. Kramer & Mark J. Kamstra & Maurice D. Levi, 2000. "Losing Sleep at the Market: The Daylight Saving Anomaly," American Economic Review, American Economic Association, vol. 90(4), pages 1005-1011, September.
    2. William N. Goetzmann & Ning Zhu, 2005. "Rain or Shine: Where is the Weather Effect?," European Financial Management, European Financial Management Association, vol. 11(5), pages 559-578.
    3. Garrett, Ian & Kamstra, Mark J. & Kramer, Lisa A., 2005. "Winter blues and time variation in the price of risk," Journal of Empirical Finance, Elsevier, vol. 12(2), pages 291-316, March.
    4. Kliger, Doron & Levy, Ori, 2008. "Mood impacts on probability weighting functions: "Large-gamble" evidence," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 37(4), pages 1397-1411, August.
    5. Saunders, Edward M, Jr, 1993. "Stock Prices and Wall Street Weather," American Economic Review, American Economic Association, vol. 83(5), pages 1337-1345, December.
    6. Fama, Eugene F, 1970. "Efficient Capital Markets: A Review of Theory and Empirical Work," Journal of Finance, American Finance Association, vol. 25(2), pages 383-417, May.
    7. Dowling, Michael & Lucey, Brian M., 2005. "Weather, biorhythms, beliefs and stock returns--Some preliminary Irish evidence," International Review of Financial Analysis, Elsevier, vol. 14(3), pages 337-355.
    8. Fama, Eugene F, et al, 1969. "The Adjustment of Stock Prices to New Information," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 10(1), pages 1-21, February.
    9. Avery, Christopher & Chevalier, Judith, 1999. "Identifying Investor Sentiment from Price Paths: The Case of Football Betting," The Journal of Business, University of Chicago Press, vol. 72(4), pages 493-521, October.
    10. Chang, Shao-Chi & Chen, Sheng-Syan & Chou, Robin K. & Lin, Yueh-Hsiang, 2008. "Weather and intraday patterns in stock returns and trading activity," Journal of Banking & Finance, Elsevier, vol. 32(9), pages 1754-1766, September.
    11. Levy, Ori & Galili, Itai, 2008. "Stock purchase and the weather: Individual differences," Journal of Economic Behavior & Organization, Elsevier, vol. 67(3-4), pages 755-767, September.
    12. Dowling, Michael & Lucey, Brian M., 2008. "Robust global mood influences in equity pricing," Journal of Multinational Financial Management, Elsevier, vol. 18(2), pages 145-164, April.
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    More about this item


    career; higher education;

    JEL classification:

    • C82 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Macroeconomic Data; Data Access
    • O11 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Macroeconomic Analyses of Economic Development


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