• Environmental Engineering Research
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• v.25 no.1
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• pp.71-79
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• 2020

This paper uses super-efficiency DEA model and Malmquist index to evaluate the carbon emission efficiency (CEE) values of the nine western provinces along the "Silk Road Economic Belt" for the period from 2000 to 2015, and analyses the influencing factors of the CEE. The major findings of this study are the following: (1) the overall CEE of the nine western provinces is not high, and there are significant inter-provincial differences in the CEE. Meanwhile, the provinces with higher levels of economic development generally have higher CEE. (2) The annual total factor productivity (TFP) of the nine western provinces, which is mainly determined by technological change, is greater than 1. Moreover, the total average growth rate of the TFP is 15.5%. (3) The CEE of the nine western provinces is not spatially dependent. In addition, the urbanization, openness, use of energy-saving technologies and research and development (R&D) investment have a significant positive impact on the CEE values, while the industrial structure, foreign direct investment, fixed asset investment, government expenditure levels and energy structure have a significant negative impact on the CEE. Among them, R&D investment is the primary factor in promoting the development of CEE, and the government expenditure has the greatest negative impact on the CEE.

• Korea Trade Review
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• v.41 no.5
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• pp.353-371
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• 2016

The purpose of this paper is to examine the structural change of Korean manufacturing industries and the differences of total factor productivity(TFP) between exporting industries and import substituting industries in Korean manufacturing industry from 1980 to 2013. The empirical results show that over half of total 13 industries have experienced changes of direction from import to export or export to import, which implies that there was a considerable structural change in Korean manufacturing industry. The output growth rates are higher in exporting industries than in import substituting industries. All industries employ more capital than labor during the period, which means that production methodology in Korean industries changes to a more capital intensive one. Finally, the growth rate of total factor productivity is higher in exporting industries than in import substituting industries, and it is also proved in panel regression analysis.

• Journal of Korea Technology Innovation Society
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• v.21 no.3
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• pp.1077-1100
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• 2018

The present study analyzed the effect of firms' external research and development (R&D) on corporate productivity, while investigating the moderating effect of firm size on the external R&D-productivity nexus. In the empirical analysis, we estimated South Korean manufacturing firms' total factor productivity (TFP) using the firm level data drawn from the Survey of Business Activities (Korea National Statistical Office) for the years 2006-2015. Thereafter, focusing on the role of external R&D and its interaction with the firm size in determining firms' TFP, the productivity function was estimated as well. To this end, we used ordinary least squares (OLS) and quantile regression to highlight the heterogeneous impacts of external R&D by companies' productivity level. Empirical results confirmed that firms' external R&D significantly enhanced corporate productivity in all manufacturing industries, from high-tech to low-tech. The moderating effect of firm size in determining the productivity effect of external R&D was not as prominent as in the case for internal R&D, which exhibited some degree of the size premium in the productivity-enhancing effect. These results suggest that regardless of the firm size, external R&D can be an important channel for corporate productivity improvement, and can be a particularly effective strategy for SMEs with relatively limited internal R&D capacities.

• KDI Journal of Economic Policy
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• v.32 no.4
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• pp.75-114
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• 2010

This paper examines empirically whether information and communication technology(ICT) has improved total factor productivity at industry level in Korea, considering time lag between ICT capital accumulation and improvement of productivity. To evaluate if ICT is pervasive enough to raise productivity, ICT capital stock of Korea is compared with those of advanced economies. From the perspective of aggregate economy, the ICT capital in Korea has increased fast since the mid-1990s and became comparable with advanced economies. However it is mostly attributed to rapid growth of ICT-producing industries. In other industries, ICT capital are still less accumulated than advanced economies. Growth accounting results exhibit that the productivity has risen faster since 2000 in industries using ICT intensively, but looking into specific industries, it is not likely for ICT to be the main factor of productivity improvement except in business service industry. Regression results provide some evidence that ICT is useful in raising productivity only after considerable amount of time allowed. To fully exploit the positive effect of ICT on productivity, it may be necessary for the Korean economy to create institutional environment facilitating complementary innovations as well as ICT captial accumulation.

• KDI Journal of Economic Policy
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• v.36 no.2
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• pp.137-174
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• 2014

This paper examines whether the TFP growth of the Korean economy slowed down in 2000s based on growth accounting, focusing on how sensitive the results are to the particular aspects of the growth accounting method. There has been no consensus on this issue as the previous studies have provided very diverse results due to the differences in the details of the growth accounting method. Main results of this paper are as follows. First, it is how to calculate the labor income of the self-employed that has the most significant impacts on the estimated TFP growth. Measuring capital stock also matters. Second, the TFP growth of the Korean economy appears to be sustained in 2000s when the extreme assumptions on the labor income of the self-employed are excluded and capital stock is measured by the most frequently-adopted method in the previous studies. For more reliable estimation of the TFP growth, further studies on measuring the labor income of the self-employed are needed.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.2
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• pp.771-781
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• 2021

The purpose of this study is to identify major drivers of Myanmar's long-term economic growth and draw implications to implement development policies. This study investigated Myanmar, as the country is the most recently opened economy in Southeast Asia. This study conducted simulation analysis based on scenarios by applying World Bank's Long-Term Growth Model, Penn World Table 9.1, and World Development Indicator data. This study makes extensive use of LTGM and the LTGM-TFP extension to improve the validity of models for data calibration. This study confirms the validity of the model with data calibration and specifies scenarios for simulation analyses by setting the growth trajectory of Vietnam due to common geographical, political, and economic conditions. Main findings include that Myanmar's economic growth rate will continue to fall below 3% in 2040 without proper improvement of growth drivers. The results of this study also provide that total factor productivity growth and female labor participation are key factors for Myanmar's long-term economic growth. This study advises policymakers in Myanmar to strengthen human capital, which is crucial for total factor productivity growth in Myanmar's context and directly affects economic growth. Further, labor market policies to promote female labor participation is important to sustain economic growth.

• Journal of Korean Society of Transportation
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• v.25 no.6
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• pp.141-157
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• 2007

This paper evaluates the effects of privatization and deregulation on the firm-specific efficiency and total factor productivity (TFP) growth in the Korean and Japanese railways. Using a stochastic frontier approach and a generalized translog functional form, the paper specifies the equation system consisting of a multiproduct variable cost function and input share equations which is estimated with Zellner's iterative seemingly unrelated regression and the corrected least squares method. The Korean and Japanese railway firms are assumed to produce three outputs (Shinkansen passenger-kilometers, incumbent railway passenger-kilometers, ton-kilometers of freight) using three input factors (labor, fuel, maintenance and rolling stock). A monetary value of the ways and fixed installations held by the railroad firm is also included as a quasi-fixed input. The empirical results indicate that the average estimate of cost inefficiency is 2.57% for the total sample and on the average, JNR and JR Kyushu are found to be worst efficient while the most efficient railway firm in the sample is JR West. Also the cost efficiency levels of seven JRs have been improved after the reform and privatization of JNR. The findings also indicate that TFP growth of the privately-owned JRs are higher than those of the government-owned KNR and JNR. Three-island JRs and JR Freight have slightly higher TFP growth than Honshu JRs as well. Thus, the results suggest that managerial autonomy and increased competition via deregulation have improved efficiency and TFP growth.

• Journal of Digital Convergence
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• v.8 no.2
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• pp.13-28
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• 2010

Korean service industry has been rapidly growing so far and economic trends in korea is shifting to service economy. However Information Communication Technology (ICT) investment and use in service sector are still relatively low in comparison with US. Keeping the current state of the service industry in mind, this paper is to review the potential productivity growth of service industry empirically by analyzing the effect of ICT on total factor productivity after investing the ICT using outlook of Korean service industry. The results show that service sectors, with more using ICT, show high productivity growth and stable TFP change during the financial period. Sectors with lower using ICT are more sensitive to changes in the business environment when compare to sectors with highly using ICT. Concerning the period of 1997-1999, the TFP growth of most of sectors slowed down and turned to recovery immediately afterwards, 2000-2002.

• Journal of Korean Society of Water and Wastewater
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• v.25 no.3
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• pp.325-334
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• 2011

Market Environment around water work industry is rapidly changing. ISO, International Organization for Standardization, announced the international water work service standard for comparison and evaluation between nations and businesses. And developed countries in water work are introducing market principle for growth of nation's water industry and reinforcement of its competitiveness. Also, some local governments entrusted their water utilities for improvement of competitiveness of water work. However, as some failure cases from overseas came out with emphasis, there are many refuting perspective about entrusted operation achievements of domestic water market. Hence, this paper evaluated competitiveness of domestic local water utilities from the perspective of productivity. After evaluating productivity using Malmquist productivity index, the authors compared and analyzed whether there is a difference of productivity between two different operating types by using Mann-Whitney test. As a result of analysis, it has shown that local water utilities achieved higher productivity at entrusted operation type rather than direct operation type. The local water utilities which chose entrusted operation had increased the productivity 13.9% on total factor productivity(TFP) during experimenting period, while the local water utilities which chose direct operation had increased 0.2%. The background of achieving this high productivity in entrusted operation was analyzed as a result of the higher technological effectiveness of a special water company. The result of this study can be referred when local government needs to decide on what operating types they will use.

• Industry Promotion Research
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• v.8 no.4
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• pp.257-266
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• 2023

The research focuses on the provincial universities in the western region of China and investigates the research level of 12 provincial universities from 2017 to 2021, considering both static efficiency and dynamic efficiency. The static efficiency is examined using Data Envelopment Analysis (DEA), while the dynamic efficiency is analyzed using the Malmquist model. The analysis results are as follows: the scientific research efficiency of universities in the 12 western provinces is generally not high. Against the background of the "Double First-Class" construction, the overall efficiency of scientific research in universities is showing an increasing trend. The main reason for the increase in scientific research efficiency is the increase in scale efficiency in recent years. The total factor productivity (TFP) of research activities is influenced by the technology progress index and exhibits a pattern of initial increase, followed by a decline, and then an increase again. Research conclusion: Western colleges and universities should reasonably allocate resources for scientific research activities, perfect scientific research mechanisms, improve management standards, promote scientific innovation and corresponding achievements, and ultimately raise the scientific and technological level in western China.