The DOI matches its Crossref record; 68 of the 68 references it cites were found in a registry or an index.
Poverty and distributional effects of carbon pricing in low- and middle-income countries – A global comparative analysis
Open accessAbstract
Even though concerns about adverse distributional implications for the poor are one of the most important political challenges for carbon pricing, the existing literature reveals ambiguous results. For this reason, we assess the expected incidence of moderate carbon price increases for different income groups in 87 mostly low- and middle-income countries. Building on a consistent dataset and method, we find that for countries with per capita incomes of below USD 15,000 per year (at PPP-adjusted 2011 USD) carbon pricing has, on average, progressive distributional effects. We also develop a novel decomposition technique to show that distributional outcomes are primarily determined by differences among income groups in consumption patterns of energy, rather than of food, goods or services. We argue that an inverse U-shape relationship between energy expenditure shares and income explains why carbon pricing tends to be regressive in countries with relatively higher income. Since these countries are likely to have more financial resources and institutional capacities to deal with distributional issues, our findings suggest that mitigating climate change, raising domestic revenue and reducing economic inequality are not mutually exclusive, even in low- and middle-income countries.
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The Economics of Climate Change: The Stern Review
Stern, N. (2007) · doi:10.1017/cbo9780511817434 · Cited by 8,371
Riahi, K., van Vuuren, D. P., Kriegler, E., Edmonds, J., O’Neill, B. C., Fujimori, S., Bauer, N., Calvin, K., Dellink, R., Fricko, O., et al. (2017) · Global Environmental Change · doi:10.1016/j.gloenvcha.2016.05.009 · Cited by 6,607
The Economics of Climate Change
Stern, N. (2010) · Climate Ethics · doi:10.1093/oso/9780195399622.003.0010 · Cited by 2,702
Temperature Shocks and Economic Growth: Evidence from the Last Half Century
Dell, M., Jones, B. F., & Olken, B. A. (2012) · American Economic Journal: Macroeconomics · doi:10.1257/mac.4.3.66 · Cited by 2,223
What explains public support for climate policies? A review of empirical and experimental studies
Drews, S., & van den Bergh, J. C. J. M. (2016) · Climate Policy · doi:10.1080/14693062.2015.1058240 · Cited by 965
Climate Change Policy: What Do the Models Tell Us?
Pindyck, R. S. (2013) · Journal of Economic Literature · doi:10.1257/jel.51.3.860 · Cited by 946
Why Do Developing Countries Tax So Little?
Besley, T., & Persson, T. (2014) · Journal of Economic Perspectives · doi:10.1257/jep.28.4.99 · Cited by 819
Making carbon pricing work for citizens
Klenert, D., Mattauch, L., Combet, E., Edenhofer, O., Hepburn, C., Rafaty, R., & Stern, N. (2018) · Nature Climate Change · doi:10.1038/s41558-018-0201-2 · Cited by 793
Report of the High-Level Commission on Carbon Prices
Stiglitz, J. E., Stern, N. H., Duan, M., Edenhofer, O., Giraud, G., Heal, G., Rovere, E. L. L., Morris, A., Moyer, E. J., Pangestu, M. E., et al. (2017) · doi:10.7916/d8-w2nc-4103 · Cited by 627
INPUT–OUTPUT ANALYSIS AND CARBON FOOTPRINTING: AN OVERVIEW OF APPLICATIONS
Minx, J. C., Wiedmann, T., Wood, R., Peters, G. P., Lenzen, M., Owen, A., Scott, K., Barrett, J., Hubacek, K., Baiocchi, G., et al. (2009) · Economic Systems Research · doi:10.1080/09535310903541298 · Cited by 542
Metadata
- Authors
- Dorband, I. I., Jakob, M., Kalkuhl, M., & Steckel, J. C.
- Venue
- World Development
- Publisher
- Elsevier BV
- Published
- 2019-03
- Volume
- 115
- Pages
- 246-257
- ISSN
- 0305-750X (ISSN-L)
- OpenAlex
- W2905345415
- Cited by
- 283
- References
- 68
- FWCI
- 25.20
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Dorband, I. I., Jakob, M., Kalkuhl, M., & Steckel, J. C. (2019). Poverty and distributional effects of carbon pricing in low- and middle-income countries – A global comparative analysis. World Development. https://doi.org/10.1016/j.worlddev.2018.11.015
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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