Structural decomposition analysis of CO2 emission variability in Vietnam during the 1986-2008 period
Main Article Content
Abstract
Abstract. The study employs structural decomposition approach based on Kaya identity and utilizes data from International Energy Agency (IEA, 2010) to analyze the relation between CO2 emission increase and GDP per capita, energy intensity of GDP, CO2 energy intensity and population in Vietnam. The research brings about the following outcomes: The rapid GDP increase (y/p) and high CO2 energy intensity (c/e) are two major factors causing high increase in CO2 emission even though GDP energy intensity (- e/y) continuously declined and population growth was lower than 1.67% yearly in 1986-2008. The economic structural change and the shift of fuel mix were the main forces driving GDP growth while suppressing CO2 emissions in Vietnam in 1989. The trend of c/e coefficient is due to the increase in fossil fuel dependency, economic structural change toward industrialization concentrating on manufacturing industries, a large inflow of FDI into manufacturing and construction industries without paying due attention to screening whether the acquired technology is environmentally friendly. Moreover, an increased number of vehicles and urbanization in Vietnam also boosted energy consumption. Consequently CO2 emission had risen. Therefore, improvement of energy efficiency incorporated with a shift in energy mix to renewable energy, and applying energy-saving and environment friendly technology (EFT) are the most important steps to curb CO2 emission.
Keywords: Kaya identity, CO2 intensity, energy intensityEvaluating the efficiency and productivity of Vietnamese commercial banks: A data envelopment analysis
and Malmquist index
MA. Nguyen Thi Hong Vinh*
Faculty of International Finance and Banking, Banking University of Ho Chi Minh City,
No 39 Ham Nghi, Ward Ben Nghe, District 1, Ho Chi Minh City, Vietnam
Received 1 14 February November 20121
Abstract. This paper provides a new evidence on the performance of twenty Vietnamese commercial banks over the period 2007-2010. The study used Data Envelopment Analysis to analyze the efficiencyies and productivity change of Vietnamese commercial banks. The results show that the efficiency of Vietnam commercial banks increased from 0.7 in 2007 to 0.818 in 2010. However, the results suggest that Vietnamese banks suffer slight inefficiencies during the global financial crisis in 2008. In addition, the results show the average annual growth of the Malmquist index 8.8 percent over the study period despite having dropped by 24.9 percent in 2009. These findings can help bank managers and government to understand banks’ efficiency performance and the underlying reasons of inefficiency.
Keywords: Bank efficiency, data envelopment analysis (DEA), malmquist Malmquist index, Vietnam.References
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