• Title/Summary/Keyword: 중국의 31개 성

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A Study on Urbanization Efficiency analysis of China's 31 provinces and cities (중국 31개 성 및 직할시의 도시화 효율성 분석에 관한 연구)

  • Zhou, Yi Xi;Jeon, Jun-Woo;Kim, Hyung-Ho
    • Journal of Digital Convergence
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    • v.17 no.12
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    • pp.147-157
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    • 2019
  • The purpose of this study is to analyze the efficiency of urbanization in 31 provinces and cities in China, including both desirable and non-expected outputs produced during the urbanization process. Efficiency was analyzed by applying the SBM-DEA model using the urbanization calculation data of 2017 in 31 provinces and cities in China. The results show that the urbanization efficiency of eastern region is the highest, followed by central region and northeast region, and the urbanization efficiency of western region is the lowest. This study is meaningful in that it analyzes the efficiency of urbanization in 31 provinces and cities in China and suggests the direction of continuous urbanization policy. This study is limited in that it does not reflect the past trend only by conducting cross-sectional analysis for one year in 2017, and it is necessary to comprehensively evaluate urbanization efficiency by conducting additional longitudinal area analysis in the future.

The Evaluation of Chinese Mutual Funds Performance

  • Wang, Seol-Lyang;Lee, Yu-Tae;Lee, Chang-Gyu
    • The Korean Journal of Financial Studies
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    • v.13 no.1
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    • pp.133-160
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    • 2007
  • 본 연구는 중국 뮤추얼펀드를 대상으로 폐쇄형(48개), 개방형(17개)으로 구분하여 총 65개 펀드에 대해 성과를 측정해보고, 이를 통해 중국 뮤추얼펀드가 지수대비 어떠한 성과를 보여주고 있는지를 살펴보고자 한 연구이다. 성과 평가 실증기간은 폐쇄형 펀드가 2002년 1월 4일부터 2004년 12월 31일까지 3년으로 하며 개방형 펀드가 2003년 1월 3일부터 2004년 12월 31일까지 2년으로 하였다. 실증연구방법들은 CAPM에 기반한 트레이너 모형, 샤프 모형, 젠센 모형과 장세판단능력 측정 모형인 트레이너-마주이 모형이다.

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Evaluation of regional Eco-Efficiency and its influencing factors in China: Based on Super-SBM and Tobit model (Super-SBM 및 Tobit 모델을 기반으로 한 중국지역 환경효율성 평가 및 영향요인 연구)

  • Yinjin Zeng;Jae yeon Sim
    • Industry Promotion Research
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    • v.9 no.1
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    • pp.259-273
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    • 2024
  • In this study, 31 provincial-level administrative regions in China from 2011 to 2021 were taken as the research objects, and the super-SBM model was used to measure the regional eco-efficiency with capital, labor, land and resource input as input variables, GDP and green coverage as the desirable outputs, and wastewater, waste gas and solid waste emissions as the undesired outputs. Tobit regression was used to analyze the effects of external environmental factors on eco-efficiency. The results showed that the average level of eco-efficiency in China was low, and the eco-efficiency in the eastern region was higher than that in other regions, and there were great differences in the western, northeast and central regions.

Morphometric Variations of a Populations of the Whitebacked Planthopper, Sogatella furcifera Horv th (Homoptera : Delphacidae), from Korea, China, and the Philippines (한국, 중국, 필리핀산 흰등멸구의 계량형태적 변이)

  • ;R.C. Saxena;A.A. Barrion;G.R. Wu
    • Korean journal of applied entomology
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    • v.31 no.1
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    • pp.37-44
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    • 1992
  • Morphometrics of the sensory appendages for host plant discrimination such as antenna, leg, rostrum of S. furcifera sampled from Korea, China, and Philippines were determined and compared. Computed discriminant scores of 89 characters produced scatter diagrams and group centroids revealing discrete segregations of the three populations.

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Comparison of Innovation Capabilities - The Case of Chinese Regions -

  • Li, Hang;Kim, Sang-Wook
    • Journal of the Korea Society of Computer and Information
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    • v.27 no.9
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    • pp.225-234
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    • 2022
  • Innovation is not only one of the factors determining the competitiveness of national regions, but also an engine for economic development, and plays an important role in breaking out of the trap of middle-income countries. This paper constructs a regional innovation index from the perspectives of innovation input, innovation output, and innovation environment, and measures the regional innovation index of 31 provinces, municipalities, and autonomous regions in China from 2006 to 2019 by using principal component analysis and cluster analysis. The results concluded that there are large provincial and municipal differences in China's regional innovation capacities, and the provinces with higher comprehensive levels are mainly concentrated in the southeastern coastal region. Cluster analysis divides the 31 provinces, municipalities, and autonomous regions into five types, and the results find that the respectively developed coastal regions are in the high-level and the high-level regions relying on the advantages of location and national policies.

Analysis of the Efficiency and Influencing Factors of Fiscal Expenditure on Compulsory Education

  • Yanan Sun;Qingsong Pang;Sangwook Kim
    • Journal of the Korea Society of Computer and Information
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    • v.29 no.1
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    • pp.241-249
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    • 2024
  • Using the panel data of 31 regions in China from 2006 to 2021, this paper analyzes the efficiency and influencing factors of the fiscal expenditure on compulsory education in China. Through the analysis found that the efficiency of some economically developed regional is lower, but the efficiency of economically backward regional is higher. In order to further analyze the influencing factors of the efficiency of fiscal expenditures on compulsory education, using Tobit model is analyzed. It is found that regional per capita GDP and fiscal self-sufficiency rate have a negative impact on the efficiency of fiscal expenditure on compulsory education. Age structure, percentage of fiscal expenditure on compulsory education and level of teachers have a positive impact on the efficiency of fiscal expenditure on compulsory education. Fiscal decentralization has no significant effect on the efficiency of fiscal expenditure on compulsory education.

Inbound Tourism Growth and the Changing Spatial Distribution of Inbound Tourist Flows at the Regional Level in China (중국의 입국관광 성장과 입국관광객의 공간적 분포 변화)

  • Choi, Kyung-Eun
    • Journal of the Korean association of regional geographers
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    • v.16 no.4
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    • pp.400-416
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    • 2010
  • China's inbound tourism became one of the key drivers for economic growth with open-door policy in 1978 and has experienced the fast growth over the past three decades. In 2008, China, as one of the world's leading tourist destinations, is ranked the 4th globally in the number of inbound overnight tourists. Based on China tourism statistics, this paper aims to examine the growth of inbound tourist flows at the national level and the changing spatial distribution by comparing between 1995 and 2008 at the regional level (31 province-level regions) in China. In particular, the spatial distributions of tourist flows from the 6 main generating countries (South Korea, Japan, Singapore, U.S.A., Germany, and Russia) are more concretely analyzed. For five countries except Russia, with slight differences by country, while the eastern area of China is still the most popular destination and western part remains the least visited area, the central part is witnessing the increasing popularity. Russia shows an obvious difference, presenting the spatial pattern that tourist flows are mainly concentrated in the northern and the most southern part of China. This paper helps to understand the dynamics of China's regional changes from an inbound tourism perspective.

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The Analysis of R&D Investment Factors for Enhancing the Regional Domestic Competitiveness in China (중국의 지역 내 경쟁력 제고를 위한 R&D 투자요인 분석)

  • Yoon, Daisang;Lee, Jinho;Park, Sang-Hyun
    • Journal of Korea Technology Innovation Society
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    • v.20 no.3
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    • pp.805-836
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    • 2017
  • China has become the group of two (G2) in almost fields including the scientific technology following the economic growth and joining the WTO in 2001. The main reason is that the government had strong intention for the industrialization of the scientific technology and connected the scientific technology and the economy. Typically, for analyzing the cause of the meteoric rise of China, the competitiveness of the scientific technology was analyzed by the entire score of the nation. However, in the case of China, there are differences in the pattern of the development between the eastern, central, and western province. Also, the industrialization and the competitiveness of the scientific technology are difference because each province established the decentralization of power. Therefore, it is more meaningful to analyze the main factors of Chinese economic growth on a province unit. In this study, therefore, we analyzed the competitive of R&D in China by 124 indexes in 31 areas. The data was analyzed by Partial least squares regression analysis. In conclusion, the scale of the area and the ability of R&D of the company are very important factors for total amount of production in the area. And the journals, patents, the transfer of technical know-how and the investment of R&D are main factors of the amount of export on the high-tech product. According to these results, the factors which make the difference in the industrialization and the competitiveness of the scientific technology in China were analyzed. Finally, it will be helpful to establish the policy for the development of the industrialization and the scientific technology in Korea.

A Comparison Study of Individual Entrepreneurial Orientation: Among Korean, Chinese and Japanese University Students (한국·중국·일본 대학생의 기업가지향성 비교연구)

  • Yang, Jun-Hwan
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.16 no.3
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    • pp.31-41
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    • 2021
  • This exploratory study focuses on ascertaining the cross-cultural differences in the perception of entrepreneurial orientation among university students in Korea, China, and Japan. Total 670 university students from the three culturally diverse environments were administered questionnaires designed to determine the differences in individual entrepreneurship orientation(IEO). Data was analyzed using IBM SPSS Statistics 23 version. ANOVA was used to test the established hypotheses. Statistically significant differences were found among the three groups of university students in IEO. China displayed the highest level of IEO followed by Korea and then Japan. Japan is less likely to be committed to entrepreneurial activity than Korea and China. The finding implies the sociocultural effect may come into play when young people forms positive attitude on entrepreneurship, that is identical to the arguments of prior studies. This study, however, has contributed to the literature by adding empirical evidence first time on different perceptions of IEO sub-scales by Korean, Chinese and Japanese university students. Theoretical and practical implication have been presented, where the importance of nurturing pro-activeness was stressed for Korean university students, most of all.

Transformation of Strategies for Chinese Regional Development in the Post-Mao Era: From Regional Uneven To Regionally Coordinated Development In China (마오쩌둥 이후 중국 지역 발전 전략의 전환: 불균등 발전에서 권역 협업 기반의 조화로운 발전으로의 진화)

  • Lina Zhang;Sung-Cheol Lee
    • Journal of the Economic Geographical Society of Korea
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    • v.26 no.4
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    • pp.359-374
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    • 2023
  • The main purpose of this paper is to explore the relationship between the transformation of Chinese regional development policy and trends in spatial inequality in mainland China. More specifically, it has attempted to identify the effects of Chinese regional development policies on regional economic inequality by investigating the coefficient of variation and Gini coefficient with GRDP in the province level. Regional inequality in China had increased from 1979 economic reform, but has eased since the 10th Five Year Plan(2001~2005) due to large-scale state investments in the western, central and northeastern regions. However, the analysis is likely to be resulted from the national level. Trends in regional inequality are differentiated in accordance with the eastern, central, northeastern and western regions. For example, regional inequality in the central region has increased, whereas other three regions has decreased since the 10th Five Year Plan. It has played a role in cutting down regional inequality in the national level. In particular, the central region has kept inequality since the 12th Five Year Guideline. It has led to the convergence of the regional economies in the national level. It has stemmed from some limits to greater regional policies in the Central region enforced in the 11th Five Year Guideline(2005~2010).