An empirical analysis of economic growth in countries exposed to coastal risks: Implications for their ecosystems
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2023
- handle: 10670/1.5l1wrz
- hal: hal-04547896
- doi: 10.1016/j.ecosys.2023.101130
- WOS: 001135944800001
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info:eu-repo/semantics/altIdentifier/doi/10.1016/j.ecosys.2023.101130
info:eu-repo/semantics/OpenAccess
Mots-clés
Bayesian model averaging Coastal risks Economic growth Ecosystems O - Economic Development, Innovation, Technological Change, and Growth/O.O1 - Economic Development/O.O1.O13 - Agriculture • Natural Resources • Energy • Environment • Other Primary Products O - Economic Development, Innovation, Technological Change, and Growth/O.O4 - Economic Growth and Aggregate Productivity/O.O4.O44 - Environment and Growth O - Economic Development, Innovation, Technological Change, and Growth/O.O4 - Economic Growth and Aggregate Productivity/O.O4.O47 - Empirical Studies of Economic Growth • Aggregate Productivity • Cross-Country Output Convergence Q - Agricultural and Natural Resource Economics • Environmental and Ecological Economics/Q.Q0 - General/Q.Q0.Q01 - Sustainable Development Q - Agricultural and Natural Resource Economics • Environmental and Ecological Economics/Q.Q2 - Renewable Resources and Conservation/Q.Q2.Q20 - General Q - Agricultural and Natural Resource Economics • Environmental and Ecological Economics/Q.Q2 - Renewable Resources and Conservation/Q.Q2.Q22 - Fishery • Aquaculture Q - Agricultural and Natural Resource Economics • Environmental and Ecological Economics/Q.Q3 - Nonrenewable Resources and Conservation/Q.Q3.Q32 - Exhaustible Resources and Economic DevelopmentSujets proches
Economic growth Growth, Economic Development, EconomicCiter ce document
Farid Gasmi et al., « An empirical analysis of economic growth in countries exposed to coastal risks: Implications for their ecosystems », HAL-SHS : économie et finance, ID : 10.1016/j.ecosys.2023.101130
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Résumé
Using a novel database on countries exposed to coastal risks (CR), this paper estimates an augmented neoclassical growth model that encompasses eight other new growth models. To account for uncertainty related to the number of models and choice of growth determinant proxies, we use a Bayesian averaging of classical estimates (BACE) approach. A preliminary examination of the data reveals that a country that faces coastal risks is likely to be a former British colony characterized by a common law legal framework, a parliamentary political system, a high degree of international trade openness, little language and ethnic fractionalization, a low level of public sector corruption, and a high rate of fertility. The BACE-based model selection procedure shows that, in CR countries, the growth determinant proxies typically used in the neoclassical, macroeconomic policy, natural resources, and institutions theories are significantly correlated with growth. These results suggest two implications related to these countries’ coastal ecosystems. First, because they are heavily dependent on natural resources and have high fertility rates, these countries might seek short-term economic gains at the expense of deterioration in their ecosystems. Second, these countries’ good institutions and low levels of ethnic division might be conducive to sustainable management of these ecosystems.