RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN >> 2023, Vol. 32 >> Issue (9): 1783-1795.doi: 10.11870/cjlyzyyhj202309002

Previous Articles     Next Articles

Comprehensive Measurement and Spatial Heterogeneity Analysis of  Level of Innovation and Development in Yangtze River Economic Belt

YU Ling-hui1,2，XU Zi-teng3，YUAN Feng1,4   

  1. (1. Nanjing Institute of Geography and Limnology/ Key Laboratory of Watershed Geographic Sciences, Chinese Academy of Sciences, Nanjing 210008, China; 2. University of Chinese Academy of Sciences, Beijing 100049, China; 3. Key Research Institute of Yellow River Civilization and Sustainable Development of Henan Province, Henan University, Kaifeng 475001, China; 4. University of Chinese Academy of Sciences, Nanjing, Nanjing 211135, China)
  • Online:2023-09-20 Published:2023-09-22

PDF (PC)

117

Abstract: Innovation is a new engine to promote economic development. Exploring the development of innovation is of great significance to promoting the high-quality development of the Yangtze River Economic Belt. Based on the data of 108 prefecture-level and above cities in the Yangtze River Economic Belt in 2010, 2015, and 2020, starting from the connotation of innovation and development, a comprehensive evaluation index system covering four dimensions of innovation resources, innovation investment, innovation performance, and innovation environment is constructed. Using the Topsis assessment based on the entropy weight method to measure the overall and subdimension levels of urban innovation in the Yangtze River Economic Belt. Using methods such as Dagum’s Gini coefficient decomposition to explore the spatial and temporal differences and evolution gradient characteristics of the urban agglomeration’s innovation and development level. The research shows that: (1) The innovation resources, innovation investment, and innovation performance of the Yangtze River Economic Belt are being optimized year by year, but the innovation environment shows a trend of rising first and then declining, and the high-value areas are mainly concentrated in core cities and cities with relatively developed economies. (2) The overall level of innovation continues to improve, and the spatial distribution shows a stepwise increase from the upper reaches to the middle reaches to the lower reaches. (3) The Gini coefficient of the overall innovation and development level shows a trend of rising first and then falling. The difference between urban agglomerations is the main factor that affects the imbalance of innovation development in the Yangtze River Economic Belt.

No related articles found!
Viewed
Full text


Abstract

Cited
  Shared   
  Discussed   
[1] SUN Huihui, ZHANG Xinping, LUO Zidong, SHANG ChengPeng, HE Xinguang, RAO Zhiguo. Analyses on Characteristics of Extreme Precipitation Indices in the #br# Yangtze River Basin in the Past 53 Years#br#[J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, 2018, 27(08): 1879 .
[2] LUO Youjin, , HAN Guohui, YU Duan, LI Yan, LIAO Dunxiu, XIE Yonghong, WEI Chaofu. Pollution Assessment and Source Analysis of Heavy Metal in Soils of the Three Gorges Reservoir Area[J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, 2018, 27(08): 1800 .
[3] . The larval resources of fishes spawning drifting eggs in the lower reaches of the Minjiang River[J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, , (): 0 .
[4] FENG Fan, ZHAO Zhonghua, CHEN Chen, TIAN Yuan, LI Qianyu, GONG Xionghu, YE Chenhao. PhysiEcological Responses of Microcystis aeruginosa to Phenanthrene Exposure[J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, 2018, 27(09): 2031 -2041 .
[5] . CHANGES OF VEGETATION COVERAGE AND THEIR RESPONSE TO TOPOGRAPHICAL FACTORS IN WOLONG NATURE RESERVE[J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, , (): 0 .
[6] ZHANG Yingxue, WANG Rui, QU Xiao, XIA Wentong, .  

Effects of Fish Culture on Phytoplankton Communities and Seasonal Dynamcis in Lakes Along the Middle Yangtze River [J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, 2018, 27(10): 2260 -2269 .
[7] FANG Lin, , WU Fengping, WANG Xinhua, YU Yantuan.  

Analysis of Agricultural Water Efficiency Measurement and Improvement Potential Based on Meta Frontier SBM Model [J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, 2018, 27(10): 2293 -2304 .
[8] . Measure the Level of Industrial Ecologization and Study its Influential Factors[J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, , (): 0 .
[9] LV Le-ting, WANG Xiao-rui, SUN Cai-zhi, ZHANG Jie. Study on the Spatiotemporal Variations of Blue and Green Water Resources in Xi River Basin Using the SWAT Model[J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, 2019, 28(01): 39 -47 .
[10] LI Yan, MA Bai-sheng, YANG Xuan. Impact of Two Types of ENSO Events on the Extreme Precipitation in Eastern China[J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, 2019, 28(02): 469 -482 .
Copyright © RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, All Rights Reserved.
Powered by Beijing Magtech Co. Ltd