Zhang, Lin and Adom, Philip Kofi (2018): Energy Efficiency Transitions in China: How persistent are the movements to/from the frontier? Published in: The Energy Journal , Vol. 39, No. 6 (2018): pp. 147-169.
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Abstract
This study examines the energy efficiency transitions in China using provincial data covering the period 2003–2015. Sustainable progress in energy efficiency achievements is beneficial to energy insecurity and the achievement of the Paris Agreement. This article combines the stochastic frontier method with the panel Markov-switching regression to model energy efficiency transitions. Estimated energy efficiency scores showed significant regional and provincial heterogeneity. Also, while human capital development, urbanization, and foreign direct investment promote energy efficiency, price and income per capita reduce it. The transition probabilities indicate that the high energy-efficient state is less sustainable, and the movement towards the frontier seems less persistent than movement from the frontier. Thus, it appears that China is not making sustainable progress in energy efficiency. The unsustainable nature of the high energy-efficient state suggests that in China, there are weak energy efficiency efforts and energy efficiency policies lack robustness.
Item Type: | MPRA Paper |
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Original Title: | Energy Efficiency Transitions in China: How persistent are the movements to/from the frontier? |
Language: | English |
Keywords: | Energy efficiency transitions, Panel Markov, Stochastic frontier, China |
Subjects: | O - Economic Development, Innovation, Technological Change, and Growth > O4 - Economic Growth and Aggregate Productivity O - Economic Development, Innovation, Technological Change, and Growth > O4 - Economic Growth and Aggregate Productivity > O47 - Empirical Studies of Economic Growth ; Aggregate Productivity ; Cross-Country Output Convergence Q - Agricultural and Natural Resource Economics ; Environmental and Ecological Economics > Q4 - Energy Q - Agricultural and Natural Resource Economics ; Environmental and Ecological Economics > Q4 - Energy > Q40 - General Q - Agricultural and Natural Resource Economics ; Environmental and Ecological Economics > Q4 - Energy > Q43 - Energy and the Macroeconomy |
Item ID: | 94797 |
Depositing User: | Dr Lin Zhang |
Date Deposited: | 04 Jul 2019 06:18 |
Last Modified: | 17 Jan 2025 07:55 |
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Mathematical and Computer Modelling 58(5): 1000-1009. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/94797 |