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| 1 |
ID:
182723
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| Summary/Abstract |
One of the most undesirable output of China's rapid economic growth has been increasing carbon emissions. This study measures and analyzes the impact of carbon emissions on China's regional total factor productivity from 2000 to 2017. Using global Malmquist-Luenberger productivity indexes, we re-estimate the provincial total factor productivity taking carbon emission into account, comparing different assumptions of returns to scale and considering the rank reverse issue. The differences of technical progress and efficiency change across Chinese regional economies are also investigated and we found that the former was the primary contributor to improved Chinese provincial productivity performance. In addition, we analyze the influencing factors of productivity based on provincial panel data. Our results indicate that innovation capacity, energy and employment structure had significant impact on the provincial productivities while urbanization had a negative impact. A more sustainable development can be expected by expanding regional investment in R&D, adjusting and optimizing structures of regional industries and energies.
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| 2 |
ID:
100255
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| Publication |
2010.
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| Summary/Abstract |
The rapid development of emerging markets is changing the landscape of the world economy and may have profound implications for international relations. China is often regarded as the most influential emerging market economy because, during the last three decades, it has become increasingly integrated into the world economic system and its success and failure now affect the well-being of other nations in the world. As the financial crisis in the US and EU intensifies, the economic prosperity of the world depends to a large extent on the sustained development of the Chinese economy and other emerging markets, and vice versa.
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| 3 |
ID:
081746
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| 4 |
ID:
105281
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| Publication |
2011.
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| Summary/Abstract |
Process industries, such as chemicals, aluminium, steel, pulp and paper, and thermal electricity generation, are important basic industries for economic growth in an economy such as the Chinese one. In order to promote improved efficiency and growth-inducing structural change, it is of paramount importance to model the development of such industries in a relevant way. It will then be necessary to go outside the smooth textbook production theory and turn to models incorporating typical features of process industries, such as embodied technical change, a sharp difference in substitution possibilities before and after investing, and a dynamic change at the industry level driven by entry and exit of plants and embodied technical change. The purpose of the paper is to give an introduction to the key production function concept of a short-run industry production function, and to show how this concept is the key to understanding industry dynamics. An empirical application is made on data for Chinese coal-fired electricity generation plants for one year. However, this will only be the first stage in a full-blown dynamic analysis. Combined cross-section and time-series data for plants are then required.
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