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This research employs the Meta-Malmquist productivity index Data Envelopment analysis and panel data regression to figure out the performances of the construction industry from Taiwan, Korea, and C...

Several studies employ data envelopment analysis (DEA) in the area of portfolio optimization or stock market efficiency evaluation, however, they have not extended two-stage network DEA to further ...

This paper researches a method of rating competitiveness involving the estimation of the performance of semiconductor firms through Malmquist productivity index (MPI) and metafrontier Malmquist productivity index (MMPI). Regressions are used to find the relationship between intellectual capital and performance. Overall, technological innovations contribute to the improvement in the integrated circuit (IC) design sub-industry while increases in efficient production allow the IC foundry sub-industry and the IC packaging and testing sub-industry to maintain position. The regression results show human capital was critical to technological innovation while relational capital was important to efficient production.

Nowadays, insurance companies are operating in a challenging and borderless business world. They should focus on improving their competitive advantages to secure increased profits and reduced costs. As fundamental elements of total quality management, performance measurement and risk management play important roles in ensuring sustainable operation. This study investigates the relationship between risk management committee structure and the operating efficiency of general insurance companies operating in Malaysia for the period 2008–2013. First, this research applies the dynamic network data envelopment analysis methodology, decomposing the typical two-stage operating process of general insurance companies. That is, we estimate the marketing efficiency and profitability efficiency. We find that the sample companies have to first improve their marketing efficiency, and then proceed to improve their profitability efficiency. Second, this study applies truncated regression to test the impact of risk manageme...

This study examines the causal relationship among economic growth, energy consumption and tourism development in Taiwan over the period from 1965 to 2010. Three Principle test results emerge from this study. First, test results indicate a long-run equilibrium relationship and a bi-direction of causality between energy consumption and tourism development with one proxy, number of visitors, being more significant than the other, visitor expenditures. Second, a bi-directional causality between energy consumption and economic growth is observed. Third, test results indicate no reciprocal causal relationship between tourism development and economic growth. From an energy conservation and sustainable tourism point of view, it is suggested policy makers and industry leaders develop high value, high profit tourism products that aim on attracting more visitor expenditures rather than numbers of visitor.

This study examines the effect of tourism development on energy consumption, CO2 and economic growth in China over the period from 1981 to 2010. An extension of ARIMA model was performed to investigate the relationship between variables. Two principle test results emerge from this study. First, increases on visitors may largely give rise to GDP. On the other hand, increase on tourism receipts may result in greater energy consumption and CO2 emission to some extent as compared to number of visitors. However, the amount of effects from either tourism receipts or number of visitors to energy consumption and CO2 emission are limited. From an energy conservation and economic growth point of view, the results support the hypothesis of tourism-led economic growth in the China economy with relatively limited increase of energy consumption and CO2 emission.

The balance between economic growth and environmental protection has been the core concern of policy makers in developing countries for the past two decades. This study is one of the few studies to empirically inspect the relationship between economic growth, FDI, and energy consumption over the period 1978-2010 in China. The results reveal that there is a unidirectional Granger causality running from GDP to energy consumption. This suggests that increase of GDP will consume more energy and implementing of the energy conservation policies and energy demand management policies in China may not have negative impact on economic growth. Besides, a bi-directional Granger causality has been found between energy consumption and FDI. This implies that Chinese government should cautiously evaluate the positive and negative effects of FDI inflows and put efforts into making more effective control policies on environmental protection.