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This paper uses a Directional Distance Function (DDF) and the Malmquist–Luenberger Productivity Index to estimate the changing patterns of ‘green’ total factor productivity (GTFP) growth of 38 Chinese industrial sectors during the period 1980–2010. Unlike the measures of traditional...
Persistent link: https://www.econbiz.de/10011100107
China has been stressing the needs of promoting regional sustainable development through industrial transformation. In the northwest region of China, which is faced with both urgent socioeconomic development and fragile ecological conditions, with water scarcity being one of the major...
Persistent link: https://www.econbiz.de/10011105147
Since solid oxide fuel cells (SOFC) produce electricity with high energy conversion efficiency, and chemical looping combustion (CLC) is a process for fuel conversion with inherent CO2 separation, a novel combined cycle integrating coal gasification, solid oxide fuel cell, and chemical looping...
Persistent link: https://www.econbiz.de/10011263327
The rapid economic growth after the new millennium could be characterized by the reappearance of heavy industrialization and land urbanization. In the literatures, extensive studies have examined the impact of energy and emissions on the growth quality during the heavy industrialization process,...
Persistent link: https://www.econbiz.de/10011031409
Integrated gasification combined cycle (IGCC) is a power generation technology to convert solid fuels into electricity. IGCC with CCS is regarded as a promising option to mitigate CO2 emission. In this paper, the CaO sorption-enhanced process is incorporated downstream with coal gasification to...
Persistent link: https://www.econbiz.de/10011040962
Porter hypothesis states that environmental regulation may lead to win-win opportunities, that is, improve the productivity and reduce the undesirable output simultaneously. Based on directional distance function, this paper proposes a novel dynamic activity analysis model to forecast the...
Persistent link: https://www.econbiz.de/10011151864
Recently, support vector machine (SVM), a novel artificial neural network (ANN), has been successfully used for financial forecasting. This paper deals with the application of SVM in volatility forecasting under the GARCH framework, the performance of which is compared with simple moving...
Persistent link: https://www.econbiz.de/10008542653
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