Construction of indicator system of regional economic system impact factors based on fractional differential equations

Zhang, Jun; Fu, Xiaoming; Morris, Harry

doi:10.1016/j.chaos.2019.07.036

Cited by 14 publications

(5 citation statements)

References 19 publications

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“…Added value of the tertiary industry F [33] Proportion of output value of tertiary industry in GDP F [33] Ecological benefit Industrial nitrogen oxide emissions F [34] Industrial S02 emissions F [34] Industrial wastewater discharge F [34] Social benefit…”

Section: Economic Benefitmentioning

confidence: 99%

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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Section: Economic Benefitmentioning

confidence: 99%

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

Liang,

Wu,

Zhang

2024

Sustainability

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“…HQD refers to the overall socio-economic development reaching an endogenous, ecological, and sustainable development state [22]. HQD is driven by innovation to achieve stable economic growth [23]. Some scholars believe that HQD refers to the fact that economic development does not simply pursue quantitative expansion, but achieves simultaneous improvement in quantity and quality [7].…”

Section: Literature Reviewmentioning

confidence: 99%

Differences in High-Quality Development and Its Influencing Factors between Yellow River Basin and Yangtze River Economic Belt

Wang

Yang

2023

Land

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As a national strategy, the development of the Yangtze River Economic Belt (YREB) and the ecological protection and high-quality development (HQD) of the Yellow River Basin (YRB) are of great significance for promoting the HQD of the regional economy. Based on the panel data in the YRB and the YREB from 2006 to 2019, this paper constructed an evaluation index system of HQD with five dimensions of “innovation development, coordination development, green development, openness development, and sharing development”, and we used the entropy weight method, kernel density method, and Tobit panel model to analyze the differences in the HQD and the similarities and differences of the influencing factors between the two regions. The research findings were as follows: (1) The HQD of the YRB and the YREB was consistent with the national trend, showing a fluctuating upward trend. The HQD of the YRB was always lower than that of the YREB. The kernel density curves in both regions had a rightward trailing pattern, with polarization and unbalanced development. (2) From the perspective of the spatial distribution pattern, the HQD of the YRB presented a spatial distribution characteristic of “high at both ends and low in the middle”. In contrast, the HQD of the YREB maintained the characteristic of “high in the east and low in the west”. (3) The level of human capital, the level of foreign direct investment, and the economic scale played a significant positive role in improving the HQD of the YRB. The level of human capital, urbanization, foreign direct investment, and economic scale significantly improved the HQD of the YREB.

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“…However, it is difficult to consider the comprehensive connotation of high-quality development by equating it with high-quality economic development. Meanwhile, another type of research has to do with constructing indicator systems based on the connotation of high-quality development, including the three-dimensional perspectives of economy, society, and ecological environment [15,16], the perspective of the five development concepts [17][18][19], the perspective of human-land coordination [20][21][22], and the perspective of economic development [23][24][25]. Compared with the two approaches, the latter focuses more on the multidimensional characteristics of high-quality development and is more in line with the connotation characteristics of high-quality development.…”

Section: Introductionmentioning

confidence: 99%

Evaluation and Impact Mechanism of High-Quality Development in China’s Coastal Provinces

Xiaojie

Han

Zhao

2023

IJERPH

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With economic expansion having moderated to a “new normal” pace, the eastern coastal provinces have been given a new historical task of high-quality development and become a window and frontier of China’s high-quality development. By designing and optimizing an index system of high-quality development levels and using the entropy-TOPSIS method, the study selected 21 indicators, include economic vitality, residents’ living standards, innovation efficiency and green development, and took China’s eastern coastal provinces as an example to study the characteristics of spatial-temporal variations in the high-quality development level from 2010 to 2020. Then, the study used the obstacle degree model to explore the factors that are obstacles to high-quality development. The results show that the high-quality development of the eastern coastal provinces presents an “up-down-up” fluctuation, with an increase of 40.1%. In particular, the development level of the residents’ living standards dimension is higher, and the high-quality development level of each province shows different degrees of growth and gradually tends to balanced development, with the high-quality development of Shanghai, Jiangsu Province and Zhejiang Province in a dominant position. The spatial pattern of high-quality development in the study areas shows a spatial distribution pattern of “high in the east and low in the west, high in the north and low in the south”, in which the bipolar spatial effect of the innovation efficiency dimension is becoming more and more prominent, while the regional synergistic development effect of the residents’ living standard dimension is more obvious, and the high-quality development spatial pattern shows a “core-periphery” structure, and there is a path-dependent effect in time change, and agglomeration is produced by trickle-down effect in space. The obstacles to residents’ living standards are high, and the main obstacle factor has gradually changed from insufficient output in innovation to a reduction in the scale of foreign trade. In addition, the problems of unreasonable industrial structure and shortage of per capita public cultural resources still exist. In provinces with a high-quality development level and a relatively developed economy, the biggest obstacle factors are economic vitality and residents’ living standards. In provinces with a low level of high-quality development and a relatively backward economy, the biggest obstacle factors are green development and innovation efficiency, and there are both similarities and differences in the main obstacle factors among provinces.

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Construction of indicator system of regional economic system impact factors based on fractional differential equations

Cited by 14 publications

References 19 publications

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

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

Differences in High-Quality Development and Its Influencing Factors between Yellow River Basin and Yangtze River Economic Belt

Evaluation and Impact Mechanism of High-Quality Development in China’s Coastal Provinces

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