Integrated paradigm for sustainable development: A panel data study
AbstractThe concept of sustainable development requires countries all over the world to use their natural resources rationally while pursuing their economic development, and at the same time to consider the quality of environment as a determinant of their societies’ welfare. First, the method of principle component analysis and composite indicators are adopted to construct an overall sustainable development index and resource intensity measure using Millennium Development Goals (MDG) and World Development Indicator Data. Second, this paper applies an integrated paradigm to investigate the relationship between natural resource availability, economic growth, and the environment using a panel of 62 countries over the period 1990–2007. This interlocking relationship is analyzed through estimating the Resource Curse Hypothesis model and the Environmental Kuznets Curve model simultaneously while taking into consideration an important dimension—namely institutional quality. The results suggest that the way countries are dealing with sustainability in the context of MDG is negatively affecting the quality of the environment. Moreover, it proposes that countries with good institution quality are not taking the environmental problems seriously.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
Bibliographic InfoArticle provided by Elsevier in its journal Economic Modelling.
Volume (Year): 30 (2013)
Issue (Month): C ()
Contact details of provider:
Web page: http://www.elsevier.com/locate/inca/30411
Economic growth; Resource curse hypothesis; Environmental Kuznets curve; Sustainable development; Principle component analysis; Simultaneous equations with error components;
Find related papers by JEL classification:
- C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
- C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis
- O44 - Economic Development, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Environment and Growth
- O50 - Economic Development, Technological Change, and Growth - - Economywide Country Studies - - - General
- Q01 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - General - - - Sustainable Development
You can help add them by filling out this form.
CitEc Project, subscribe to its RSS feed for this item.
- Sahbi Farhani & Sana Mrizak & Anissa Chaibi & Christophe Rault, 2014.
"The environmental Kuznets curve and sustainability: A panel data analysis,"
2014-300, Department of Research, Ipag Business School.
- Farhani, Sahbi & Mrizak, Sana & Chaibi, Anissa & Rault, Christophe, 2014. "The environmental Kuznets curve and sustainability: A panel data analysis," Energy Policy, Elsevier, vol. 71(C), pages 189-198.
- Sahbi Farhani & Sana Mrizak & Anissa Chaibi & Christophe Rault, 2014. "The Environmental Kuznets Curve and Sustainability: A Panel Data Analysis," CESifo Working Paper Series 4787, CESifo Group Munich.
- Thomas Jobert & Fatih Karanfil & Anna Tykhonenko, 2014. "Estimating country-specific environmental Kuznets curves from panel data: a Bayesian shrinkage approach," Applied Economics, Taylor & Francis Journals, vol. 46(13), pages 1449-1464, May.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Zhang, Lei).
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 references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link 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 profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.