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Fu X.,Shanghai Normal University | Hubacek K.,University of Maryland College Park | Feng K.,University of Maryland College Park | Meng B.,Institute of Development Economies
2013 Proceedings of PICMET 2013: Technology Management in the IT-Driven Services | Year: 2013

China promises to decrease carbon intensity by 2020 to 40%-45% of the level in 2005. This research proposes industry structural adjustments for industrial sectors from the perspective of reducing carbon emission. To achieve this goal, first, Energy-Carbon-Economy Input-Output (ECEIO) table is designed; second, an optimal input-output model is established, considering international trade, carbon emissions by industry and output by industry to address industry adjustments for reducing carbon emission; third, this model is applied to China's ECEIO table. Results show that: (1) it is necessary to decrease the share of output of energy sectors (i.e. Production of thermal power, heat, and gas) and heavy industry with high carbon intensity (i.e. Smelting and Pressing of Ferrous Metals and Non-ferrous Metals) by over 1%, and to increase the share of output of high-tech industries (i.e. Manufacture of Communication Equipment, Computers and Other Electronic Equipment by 0.41%) and services (i.e. Real estate finance and other service by 1.07%) with low carbon intensity; (2) sector adjustment is sensitive to the energy mix, the speed of economy growth and the tightness of carbon constraints. (3) Assuming that the ratio of renewable energy increases, the increased range of industry adjustment will rise with the reduction of carbon emission and decline in the speed of economy growth. © 2013 PICMET. Source


Idota H.,Kinki University | Bunno T.,Kinki University | Ueki Y.,Institute of Development Economies | Komolavanij S.,Panyapiwat Institute of Management | And 2 more authors.
Communications in Computer and Information Science | Year: 2015

In order to achieve successful innovation, firms have to elevate their capability for innovation. ICT becomes one of essential tools of business management. The aim of this papers to examine the causal relationship between ICT use and innovation capability. Based on survey data from four ASEAN economies of Indonesia, the Philippines, Thailand, and Vietnam, this study examines what kind of ICT use such as SCM, CAD/CAM, SNS and so on, has been introduced by firms, and how it enhances internal innovation capability and contributes to achieve innovation. In so doing, to make the concept of internal innovation capability more tractable for empirical analysis, AHP (Analytical Hierarchy Process) was employed to construct an index of internal innovation capability. By using instrumental variable probit estimation (or two Stage Least Square: 2SLS), the following results are obtained: (1) ICT significantly influences to enhance internal innovation capability; and (2) internal innovation capability promotes innovation. © Springer-Verlag Berlin Heidelberg 2015. Source

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