Convergence of per capita energy consumption around the world: New evidence from nonlinear panel unit root tests

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2022

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Elsevier

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Economics
(1997)
Founded in 1997, the Department of Economics is among the founding departments of our University. The Department offers two extensive undergraduate programs, either in English or in Turkish. Our undergraduate programs are catered to developing our students’ skills of analytical thinking, and to practical education. In this regard, the Social Sciences Research and Training Laboratory, founded under the guidance of our department, offers hands-on training to our own students, students and academicians from other universities, and public institutions. Our Department also offers a Graduate Degree Program in Applied Economy and a Doctorate Degree Program in Political Economy for graduates of undergraduate and graduate degree programs.

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This paper investigates the existence of stochastic and deterministic convergence in per capita energy consumption among the countries forming four income-level groups and a full sample of 110 countries over the 1971-2019 period. For that purpose, we employ six state-of-the-art nonlinear panel unit root tests with nonlinear dynamics that range from state-dependent nonlinearities such as ESTAR, AESTAR and TAR dynamics to timedependent nonlinearities of structural break form. We find consistent evidence supporting stochastic convergence among high-income and upper-middle-income countries according to two of the six panel tests. Concerning the stronger notion of deterministic convergence, three tests point to deterministic convergence among high-income countries, and only one supports this hypothesis among upper-middle-income countries. Lack of convergence across all country groups carries important policy implications concerning the achievement of SDG7 of the global 2030 Agenda for Sustainable Development that affects every single country in the planet.

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Panel unit root tests, Energy consumption convergence, Nonlinearities, Time-dependence, State-dependence, LSTR process, ESTAR process, AESTAR process, Sign nonlinearity, Size nonlinearity, Structural breaks, 2030 Agenda for Sustainable Development

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8

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111

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