Diffusion of Emissions Abating Technology
David Stern ()
Rensselaer Working Papers in Economics from Rensselaer Polytechnic Institute, Department of Economics
The environmental Kuznets curve (EKC) has been extensively criticized on econometric and theoretical grounds. Recent econometric results and case studies show that national emissions of important pollutants are monotonic in income but changes in technology can lead over time to reductions in pollution - a lowering of the EKC - and that pollution reducing innovations and standards may be adopted with relatively short time lags in some developing countries. This study combines the recent literature on measuring environmental efficiency and technological change using production frontier methods with the use of the Kalman filter - a time series method for signal extraction - to model the state of abatement technology in a panel of countries over time. The EKC is reformulated as the best practice technology frontier - countries' position relative to the frontier reflects the degree to which they have adopted best practice. The results are used to determine whether countries are converging to best practice over time and how many years it will take each country to achieve current best practice. The model is applied to sulfur dioxide emissions from sixteen mainly developed countries.
JEL-codes: Q53 Q56 O40 (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-ino
References: View references in EconPapers View complete reference list from CitEc
Citations View citations in EconPapers (18) Track citations by RSS feed
Downloads: (external link)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:rpi:rpiwpe:0420
Access Statistics for this paper
More papers in Rensselaer Working Papers in Economics from Rensselaer Polytechnic Institute, Department of Economics Contact information at EDIRC.
Series data maintained by Shawn Kantor (). This e-mail address is bad, please contact .