scholarly journals An Evaluation of the Yangtze River Economic Belt Manufacturing Industry Level of Intelligentization and Influencing Factors: Evidence from China

2021 ◽  
Vol 13 (16) ◽  
pp. 8913
Author(s):  
Decai Tang ◽  
Luxia Wang ◽  
Brandon J. Bethel

Over recent decades, the application of artificial intelligence methods in manufacturing has led to new spheres of research such as the Internet of Things, Cyber–Physical Systems, and Cloud Computing and Big Data, leading to the so-called Industry 4.0. However, to date, little research has been geared towards assessing the factors that influence intelligent manufacturing on a regional scale. Addressing this problem, this paper constructs an evaluation index system for the Yangtze River Economic Belt (YREB) intelligent manufacturing sector using eleven years (2008–2018) of provincial panel data. The entropy method is applied to three evaluation criteria, namely intelligent innovation, equipment, and profit, to construct an evaluation index system. An analysis of the results revealed that the level intelligentization of the manufacturing industry of the YREB increases yearly, and that intelligent innovations are notably occurring at a faster rate than profits. Disproportional enterprise returns on investment have occurred, which decreases enterprise motivation to be innovative in the first place. Additionally, it was also observed that FDI, financial development, government intervention, and the level of opening-up were the primary factors modulating regional intelligent manufacturing levels.

Information ◽  
2020 ◽  
Vol 11 (11) ◽  
pp. 526
Author(s):  
Yi Lei ◽  
Xiaodong Qiu

China’s cross-border e-commerce will usher in a new golden age of development. Based on seven countries which include the Russian Federation, Mongolia, Ukraine, Kazakhstan, Tajikistan, Kyrgyzstan and Belarus along the “Belt and Road”, an evaluation system for cross-border e-commerce investment climate indicators is established in this study. This research applied the entropy method twice to evaluate the investment climate of seven countries based on 5 years panel data comprehensively and these countries are then classified into politics-oriented and industry-oriented countries, and then the weight of indicators for each category is analyzed. In addition, cross-border e-commerce investors are proposed to prioritize industry-oriented countries. Back propagation neural network algorithm is used to map the existing data and optimize the evaluation index system in combination with the genetic algorithm. This research denotes the effort to find out the index evaluation combination corresponding to the best overall score, make the established evaluation index system applicable to other countries, and provide reference for cross-border e-commerce investors when evaluating the investment climate in each country. This study provides the important practical implications in the sustainable development of China’s cross-border e-commerce environment.


2011 ◽  
Vol 148-149 ◽  
pp. 923-927
Author(s):  
Qi Lu Huang ◽  
Xin Wang ◽  
Rui Jie Li ◽  
Shun De Gao

Scientific and practical crane evaluation index system is expected to obtain by screening of indices in this paper. The initial comprehensive evaluation indices are selected by stratification. Then the quantitative indices are screened by entropy method and Pearson correlation coefficient method, and the qualitative indices are screened by Delphi method and Spearman correlation coefficient method. The little effect indices on the evaluation result are deleted and the redundant information between the indices are got rid of. The index system simplified is comprehensiveness and representative, which is convenient to compare and evaluate cranes.


2021 ◽  
Vol 292 ◽  
pp. 02028
Author(s):  
Zongguang Wang ◽  
Yamin Jiang

To promote the high-quality development of the Yangtze River economic belt is a major development strategy in China. As the lifeblood of the national economy, manufacturing industry is of great significance to realize the high-quality development of the Yangtze River economic belt. Based on the analysis of the overall situation of the manufacturing industry in the Yangtze River economic belt and the diamond model theory, this paper constructs an evaluation index system of manufacturing industry competitiveness with 4 first-class indexes and 16 second-class indexes, comprehensively evaluates the manufacturing industry competitiveness of each region by entropy method, and ranks the whole country. The results show that the manufacturing competitiveness of 11 provinces and cities in the Yangtze River economic belt is quite different and has obvious regional characteristics. The competitiveness of manufacturing industry in downstream regions is strong, while that in Yunnan and Guizhou provinces is weak, ranking at the bottom. Through in-depth analysis, it is found that there are some problems, such as unbalanced development, homogenization of industry, unreasonable layout of manufacturing industry. Combined with the development experience of excellent manufacturing industry and the regional characteristics of the Yangtze River economic belt, this paper proposes that we should speed up the industrial agglomeration, adhere to the innovation driven strategy, optimize the industrial layout and other ways to enhance the manufacturing competitiveness of the Yangtze River economic belt and promote the high-quality development of the Yangtze River economic belt.


2011 ◽  
Vol 71-78 ◽  
pp. 4748-4755
Author(s):  
Jing Qing Lv ◽  
Pei Pei Liu ◽  
Yan Wei

Applying composite index leading to an evaluation index system of urban-rural integration, using entropy method for secondary weighting, a model is constructed of quantitative analysis of the regional urban-rural integration. This paper has made a quantitative analysis of the development levels of regional urban-rural integration in the case of the Shandong Peninsula Blue Economic Zone. The research results show that in the problem of multi-target integrated evaluation, the application of composite index, constructing evaluation index system, enables the evaluation process to cover more assessment information without any increase in calculation steps. Application of the model presented in this paper makes feasible a quantitative analysis of the regional urban-rural development.


2013 ◽  
Vol 438-439 ◽  
pp. 1272-1277
Author(s):  
Li Wang ◽  
Hui Guo ◽  
Xiaoe Li

To promote the preparation of technical standards for the quality of detection and evaluation work of the Yangtze River Dike reinforcement project completion and acceptance, this paper summarizes the quality check method of reinforcement works of the main dyke of Yangtze River. In the combination of the standard, design document and practical working condition, the quality check and evaluation index system for different construction contents are put forward. To promote the quality assessment of Yangtze River Dike project completion, comprehensive evaluation index system of quality inspection is established.


2021 ◽  
Vol 236 ◽  
pp. 03011
Author(s):  
Xin Qing ◽  
Haifa Jia ◽  
Chengkui Liu

Guangzhou is the capital city of Guangdong Province, which is currently in a stage of transformation and development. This paper takes Guangzhou’s ecological economy, ecological society, ecological environment as the research objects and constructs an evaluation index system for Guangzhou’s ecological liveability. It takes social progress, economic development and environmental protection as the primary indicators. The index system is used to construct the ecological livability evaluation index system of Guangzhou through the entropy method.


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