Journal of Digital Convergence (디지털융복합연구)

The Society of Digital Policy and Management (한국디지털정책학회)
권호 표지
DOI QR코드

DOI QR Code

An Efficiency Analysis of Science and Technology Budget in Provinces and Autonomous Regions in China

중국 성시 및 자치구 과학기술 예산활용 효율성 분석에 관한 연구

  • Chao, Na (School of Foreign Languages, HeZe University) ;
  • Jeon, Jun-Woo (Department of East Asian Studies & Logistics, SungKyul University) ;
  • Kim, Hyung-Ho (Department of Air Transport and Logistics, Sehan University)
  • 조나 (중국 하택대학교 외국어학부) ;
  • 전준우 (성결대학교 동아시아물류학부) ;
  • 김형호 (세한대학교 항공교통물류학과)
  • Received : 2019.11.01
  • Accepted : 2019.12.20
  • Published : 2019.12.28
Download PDF
⟨ Previous Next ⟩

Abstract

The purpose of this study is to analyze the efficiency of budget utilization of science and technology by the Chinese autonomous province and to present the direction of improvement. Data were obtained from the 2013-2017 statistical yearbook of higher education published by the Ministry of Education of China, and efficiency was analyzed using the malmquist analysis method. The analysis found that the low technological progress caused changes in the productivity MPI index, and that cities affected by technological efficiency needed to improve internal factors such as internal coordination and restructuring of universities in the region to increase efficiency. And it was found that areas affected by technological change needed proper response to external factors such as government policy, economic environment, social environment or technological development. This study is meaningful in that it presented reference data in enhancing efficiency of budget utilization of science and technology by autonomy of China, and it is necessary to establish strategies and study essential factors to increase efficiency of inefficient areas in the future.

본 연구의 목적은 중국 자치성별 과학기술 예산활용 효율성을 분석하고 개선방향을 제시하는 것이다. 중국교육부가 공시한 2013-2017년의 고등교육 통계연감에서 데이터를 확보하여, 맘퀴스트 분석방법을 활용해 투입대비 산출의 효율성을 분석하였다. 분석결과 기술 진보가 낮은 것은 생산성 MPI지수의 변동을 일으키는 원인이며, 기술적 효율성의 영향을 받은 도시는 효율성을 높이려면 지역 내 대학의 내부 조율, 구조조정 등 내부적 요인의 개선이 필요한 것으로 파악되었다. 기술변화의 영향을 받은 지역은 정부정책, 경제 환경, 사회 환경이나 기술의 발전 등 외적 요인에 대한 적절한 대응이 필요한 것으로 파악되었다. 본 연구는 중국의 자치성별로 과학기술 예산활용 효율성을 제고하는 데에 참고자료를 제시하였다는데 의의가 있으며, 향후 비효율적인 지역의 효율성을 높이기 위한 전략의 수립 및 필수적인 요소에 대한 연구가 필요하다.

Keywords

References

  1. H. L. Xu. (2017). Research on the management mechanism of government investment in science and technology. East China Science Technology, 2017(7), 48-49. http://www.cnki.com.cn/Article/CJFDTotal-HDKJ201707016.htm
  2. J. T. Dai. (1986). Classification of scientific and technological activities, Researches in Science Management, 03(006), 29-30. DOI : 10.19445/j.cnki.15-1103/g3.1986.03.006
  3. X. P. Li, & Q. Yang. (2019). Research on Science and Technology Evaluation Incentives to Promote the Transformation of University Science and Technology Achievements. Beijing Education, 2019(11), 65-68. http://kns.cnki.net/kcms/detail/detail.aspx?FileName=BJYG201911023&DbName=CJFQTEMP
  4. Z. L. Q. Q. G. (2014). Analysis on Scientific and Technological Input-Output Efficiency of Inner Mogolian University based on DEA Model . Master dissertation. Inner Mongolian University, Hohehot. http://cdmd.cnki.com.cn/Article/CDMD-10126-1014265735.htm
  5. W. H. Yin & W. Yuan. (2013). The Research on Scientific Research Efficiency in China's Universities of Ministry: Based on Bootstrap- DEA Model. Statistics & Information Forum, 28(6), 61-69. http://www.docin.com/p-1685361504.html
  6. W. H. Su, G. F. Luo & S. Z. Zeng. (2015). Efficiency evaluation of university research in Zhejiang Province. Science Research Management, 36(9), 141-148. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=kygl201509017
  7. G. S. Lu, L. Liu, J. C. Sun & L. N. Gu. (2005). Study on the Evaluation of Scientific Research Efficiency of Universities Directly Under the Ministry of Education. Journal Of Xi'An Jiaotong University (Social Sciences, 25(2), 75-79. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=xajtdxxb-shkxb200502014
  8. J. l. JIANG. (2017). Measuring Efficiency of Chinese Universities in the Shandong Province. The Korean Society For The Economics And Finance Of Education, 161-187. http://www.riss.kr/link?id=T14437865
  9. Y. M. Kim. (2018). Analysis of efficiency of science museums in Korea using DEA and Malmquist . Doctoral dissertation. Korea University, Seoul. http://www.riss.kr/link?id=T14924739
  10. J. Y. Jung. (2018). The Comparison of R&D Efficiency and the Current Evaluation System in The Government Funded Research Institutes Related to Science and Technology Using DEA Method. Doctoral dissertation. Chungnam National University, Daejeon. http://www.riss.kr/link?id=T14917247
  11. M. S. Lee & Y. S. Kim. (2010). A Study of the Efficiency and Productivity of Junior Colleges. Journal of Korea Research Association of International Commerce, 10(1), 33-58. http://www.earticle.net/Article/A127515
  12. H. G. Choi & Y. Y. You. (2014). An Efficiency Analysis for the Public Activities Support Projects of Non-Profit Private Organizations using DEA, Journal of Digital Convergence, 12(6), 181-192. https://www.earticle.net/Article/A220367 https://doi.org/10.14400/JDC.2014.12.6.181
  13. K. H. Choi & J. K. Cho. (2014). Case Study on the Jeollabuk-do Local Water Supply Efficiency by using DEA and Malmquist Index. Journal of Digital Convergence, 12(12), 571-580. DOI : 10.14400/JDC.2014.12.12.571
  14. J. H. Han. (2013). A Study on Eco-efficiency in power plants using DEA Analysis. Journal of Digital Convergence, 11(5), 119-133. https://www.earticle.net/Article/A199716 https://doi.org/10.14400/JDPM.2013.11.5.119
  15. T. Liu. (2017). Analysis on Industry-University -Research Cooperation Performance of Higher Education in Shandong Province and Its Influencing Factors. Journal of Shandong Teachers' University (Humanities and Social Sciences), 62(3), 106-117. DOI : 10.16456/j.cnki.1001-5973.2017.03.010