Analysis on Scientific and Technological Innovation Capacity for the Yangtze River Economic Belt

Xu, Haiying; Hsu, Wei-Ling; Zhang, Taolin

doi:10.1109/amcon.2018.8615038

Cited by 2 publications

(4 citation statements)

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“…However the development of the regional economy has been accompanied by a series of environmental problems in the past. In 2018, the average R&D intensity of cities along the Yangtze River Economic Belt was only 90% of the national average, but its energy consumption and pollution intensity were more than double the national average [ 27 ]. This imbalance between controlling environmental pollution and achieving high-quality development has become a key factor restricting regional economic transformation.…”

Section: Study Area and Datamentioning

confidence: 99%

Spatial analysis, coupling coordination, and efficiency evaluation of green innovation: A case study of the Yangtze River Economic Belt

2020

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Green innovation is an important driving force to promote the sustainable development of urban society and economy. This paper constructs an evaluation index system containing social undesirable outputs, and uses the Super-SBM model and the Malmquist-Luenberger index to evaluate green innovation efficiency in 42 cities along the Yangtze River Economic Belt from 2013 to 2017. Additionally, spatial autocorrelation analysis is used to study the spatial correlation of green innovation efficiency. Finally, the coupling coordination degree model is used to study the coupling coordination degree between green innovation efficiency and high-tech industries. The following results were obtained. (1) The average value of green innovation efficiency increased from 1.0446 to 1.0987, and the annual average growth rate of total factor productivity of green innovation was 1.1%. (2) Green innovation efficiency of the Yangtze River Economic Belt had a significant spatial positive correlation, but the types of agglomeration among cities in different sections of the Yangtze River were quite different. (3) The coupling coordination degree between green innovation efficiency and the development level of high-tech industries in the cities of the Yangtze River Economic Belt was in the basic coordination stage. Based on the research results, we suggest that cities in this belt further enhance the interactive relationship between green innovation and economic development and promote the coordinated development of economy and society.

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Section: Study Area and Datamentioning

confidence: 99%

Spatial analysis, coupling coordination, and efficiency evaluation of green innovation: A case study of the Yangtze River Economic Belt

2020

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“…Based on statistical yearbook data, Xu et al ( 2018) constructed an evaluation system of RSTI capacity containing 15 indicators and conducted an empirical study on the RSTI capacity of 11 provinces and regions in the Yangtze River Economic Belt to provide enlightenment for regional coordinated development. The results show that investment funds are an important factor of the regional difference in STI capability [1]. Through several expert discussions, Dai et al (2022) constructed an evaluation system containing 20 indicators in terms of three aspects-government support, technological capacity, and basic conditions-which were utilized to analyze the RSTI capacity of six cities in Taiwan and to provide a basis for relevant departments to allocate resources, formulate regional innovation policies, and promote regional development [2].…”

Section: Related Studiesmentioning

confidence: 99%

“…The evaluation of STI capability can help government departments correctly understand regional scientific and technological innovation (RSTI) development, help formulate policies and measures to promote innovation, and enhance regional competitiveness. Existing research examines mainly the evaluation of RSTI capability in terms of the aspects of relevant concepts, evaluation indicators, and evaluation methods [1][2][3].…”

Section: Introductionmentioning

confidence: 99%

“…Big data can help evaluators dynamically recognize RSTI capabilities from multiple dimensions. Most studies use structured data and indicators published by statistical departments to evaluate regional S&T innovation capacity [1]. However, statistical indicators usually have a lag, that is, statistics on technological innovation in a specific region for the current year are not released until the following year.…”

Section: Introductionmentioning

confidence: 99%

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Research on the Evaluation of Regional Scientific and Technological Innovation Capabilities Driven by Big Data

Liang,

Wu,

Zhang

2024

Sustainability

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Scientific and technological innovation (STI) is an important internal driver of social and economic development. Reasonable evaluation of regional scientific and technological innovation (RSTI) capability helps discover shortcomings in the development of urban development and guides the allocation of scientific and technological resources and the formulation of policies to promote innovation. This paper analyzes new opportunities created by big data and artificial intelligence for the evaluation of RSTI capability, and based on this analysis, the collaborative evaluation schemes of multi-entity participation are investigated. In addition, considering the important value of unstructured data in evaluating STI, the Latent Dirichlet Allocation (LDA) topic model and sentiment analysis method are employed to analyze the construction of an evaluation indicator system that integrates scientific and technological news data. To fully utilize the respective advantages of human experts and machine learning in the field of complex issue evaluation, this paper proposes an RSTI capability evaluation model based on AHP-SMO human-machine fusion. This study promotes the integration of science and technology and economy and has theoretical and practical significance.

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Analysis on Scientific and Technological Innovation Capacity for the Yangtze River Economic Belt

Cited by 2 publications

References 0 publications

Spatial analysis, coupling coordination, and efficiency evaluation of green innovation: A case study of the Yangtze River Economic Belt

Spatial analysis, coupling coordination, and efficiency evaluation of green innovation: A case study of the Yangtze River Economic Belt

Research on the Evaluation of Regional Scientific and Technological Innovation Capabilities Driven by Big Data

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