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on Resource Economics |
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Issue of 2022‒08‒08
two papers chosen by |
| By: | Laurent Denant-Boèmont (CREM - Centre de recherche en économie et management - UNICAEN - Université de Caen Normandie - NU - Normandie Université - UR1 - Université de Rennes 1 - UNIV-RENNES - Université de Rennes - CNRS - Centre National de la Recherche Scientifique); Javier Faulin (UPNA - Universidad Pública de Navarra [Espagne] = Public University of Navarra); Sabrina Hammiche (CREM - Centre de recherche en économie et management - UNICAEN - Université de Caen Normandie - NU - Normandie Université - UR1 - Université de Rennes 1 - UNIV-RENNES - Université de Rennes - CNRS - Centre National de la Recherche Scientifique); Adrian Serrano-Hernandez (UPNA - Universidad Pública de Navarra [Espagne] = Public University of Navarra) |
| Abstract: | We designed a survey that aims at estimating individual willingness-to-pay to reduce noise and air pollution arising from transportation activity near the Pyrenees in Navarre (Spain). Our participants cope with a series of contingent valuation questions and also with an economic experiment with real incentives about the same topic. Our goal is to identify several methodological problems in the valuation process coming from hypothetical bias, correlation effect and sequence effect when series of responses are requested. Our main results are that hypothetical bias is significant, because the willingness-to-pay is greater when the survey is hypothetical compared to when there is real monetary incentive. Likewise, the correlation effect also observes the same behavior since the willingness-to-pay for pollution mitigation is close to the one established for noise reduction. Finally, we have obtained mixed evidence for the sequence effect, being present only in the contingent valuation survey part. |
| Keywords: | Willingness-to-pay,Transport externality,Pollution,Cognitive bias,Laboratory economic experiment,Transportation |
| Date: | 2022–02 |
| URL: | http://d.repec.org/n?u=RePEc:hal:journl:hal-03476849&r= |
| By: | Francesco Vona (University of Milan, Department of Environmental Science and Policy, Fondazione Eni Enrico Mattei (FEEM) and OFCE Sciences-Po); Francesco Bontadini (OFCE Sciences-Po, LUISS Guido Carli University and SPRU – University of Sussex) |
| Abstract: | We study green specialisation across EU countries and detailed 4-digit industrial sectors over the period of 1995-2015 by harmonizing product-level data (PRODCOM). We propose a new list of green goods that refines lists proposed by international organizations by excluding goods with double usage. Our analysis reveals important structural characteristics of green specialisation in the manufacturing sector. First, green production is highly concentrated, with 13 out of 119 4-digit industries, which are high-tech and account for nearly 95% of the total. Second, green and polluting productions do not occur in the same sectors, and countries specialise in either green or brown sectors. Third, our econometric analysis identifies three key drivers of green specialisation: (i) first-mover advantage and high persistence of green specialisation, (ii) complementarity with non-green capabilities and (iii) the degree of diversification of green capabilities. Importantly, once we control for these drivers, environmental policies are not anymore positively associated with green specialisation. |
| Keywords: | Green goods, green specialisation, environmental policies, complementarity, path dependency |
| JEL: | Q55 L60 O44 |
| Date: | 2022–06 |
| URL: | http://d.repec.org/n?u=RePEc:fem:femwpa:2022.14&r= |