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on Resource Economics |
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Issue of 2019‒10‒21
four papers chosen by |
| By: | Beine, Michel (University of Luxembourg); Jeusette, Lionel (University of Luxembourg) |
| Abstract: | Recent surveys of the literature on climate change and migration emphasize the important diversity of outcomes and approaches of the empirical studies. In this paper, we conduct a meta-analysis in order to investigate the role of the methodological choices of these empirical studies in finding some particular results concerning the role of climatic factors as drivers of human mobility. We code 51 papers representative of the literature in terms of methodological approaches. This results in the coding of more than 85 variables capturing the methodology of the main dimensions of the analysis at the regression level. These dimensions include authors' reputation, type of mobility, measures of mobility, type of data, context of the study, econometric methods and last but not least measures of the climatic factors. We look at the influence of these characteristics on the probability of finding any effect of climate change, of finding a displacement effect, of finding an increase in immobility and of finding evidence in favour of a direct versus an indirect effect. Our results highlight the role of some important methodological choices, such as the frequency of the data on mobility, the level of development, the measures of human mobility and of the climatic factors as well as the econometric methodology. |
| Keywords: | climate change, human mobility, econometric regressions, meta-analysis, natural disasters |
| JEL: | C83 F22 Q54 |
| Date: | 2019–09 |
| URL: | http://d.repec.org/n?u=RePEc:iza:izadps:dp12639&r=all |
| By: | Marion Davin (CEE-M, Univ Montpellier, CNRS, INRA, SupAgro, Montpellier, France); Mouez Fodha (University Paris 1 Panthéon-Sorbonne and Paris School of Economics, France); Thomas Seegmuller (Aix-Marseille Univ, CNRS, EHESS, Ecole Centrale, AMSE, Marseille, France) |
| Abstract: | This article analyzes the impacts of debt relief on production and pollution. We develop at wo-country overlapping generations model with environmental externalities, public debts and perfect mobility of assets. Pollutant emissions arise from production, but agents may invest in pollution mitigation. Could debt relief be an efficient tool to encourage less developed countries to engage in the fight against climate change? We consider a decrease of the debt of the poor country balanced by an increase of the richer country’s debt. We show that debt relief makes it possible to engage poor countries in the process of pollution abatement. Capital, environmental quality and welfare can increase in both countries. This result relies on the environmental sensitivity and the discount factor in the poor country relative to the rich one: the greater they are the more beneficial the debt relief is. |
| Keywords: | pollution; abatement; overlapping generations; public debt; capital market integration |
| JEL: | F43 H23 Q56 |
| Date: | 2019–10 |
| URL: | http://d.repec.org/n?u=RePEc:aim:wpaimx:1925&r=all |
| By: | Onil Banerjee (Inter-American Development Bank); Martin Cicowiez (Centro de Estudios Distributivos, Laborales y Sociales (CEDLAS), IIE-FCE, Universidad Nacional de La Plata); Renato Vargas (CHW Research); Mark Horridge (Victoria University) |
| Abstract: | In 2014, the United Nations published the first International Standard for environmentaleconomic statistics, known as the System of Environmental-Economic Accounting (SEEA).. As more countries adopt and implement the SEEA, the availability of consistent environmental and economic information increases the need for analytical tools that can use this data to respond to policy relevant questions. In this paper, we present a workflow to develop an environmentallyextended social accounting matrix, which can serve as the basic database for the development of environmentally-extended computable general equilibrium models. To illustrate, and given its comprehensive implementation of the SEEA, we apply this workflow to the Guatemalan case and the Integrated Economic-Environmental Modeling (IEEM) Platform. |
| JEL: | D58 Q56 |
| Date: | 2019–10 |
| URL: | http://d.repec.org/n?u=RePEc:dls:wpaper:0253&r=all |
| By: | Liu, Yan (Beijing Institute of Technology); Chen, Xi (Yale University); Yan, Zhijun (Beijing Institute of Technology) |
| Abstract: | While adverse health effects of ambient air pollution have been well documented, there is scarce evidence on the impact of household air pollution (HAP) on mental health. We investigated the causal link between HAP exposure from the use of solid fuel on depressive symptoms using a nationally representative dataset of middle-aged and older population in China. Employing the propensity match score method (PSM), matching and adjusting for potential confounders, we found significantly higher Center for Epidemiological Studies Depression Scale (CES-D) score and risk of depressive symptoms among solid fuel users than clean fuel users. These associations were especially stronger for older females who were less educated, of lower income, of higher body mass index, or had chronic diseases. |
| Keywords: | depression, household solid fuel use, household air pollution, propensity score matching, CHARLS |
| JEL: | I31 Q51 Q53 |
| Date: | 2019–09 |
| URL: | http://d.repec.org/n?u=RePEc:iza:izadps:dp12654&r=all |