scholarly journals Research on the development and competitiveness evaluation of manufacturing industry in Yangtze River Economic Belt

2021 ◽  
Vol 292 ◽  
pp. 02028
Author(s):  
Zongguang Wang ◽  
Yamin Jiang
Keyword(s):  
Yangtze River ◽  
Manufacturing Industry ◽  
Evaluation Index System ◽  
Quality Development ◽  
The Yangtze River ◽  
High Quality ◽  
Regional Characteristics ◽  
Depth Analysis ◽  
Industry Competitiveness ◽  
Manufacturing Competitiveness

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.

scholarly journals Spatiotemporal characteristics and impact mechanism of high-quality development of cultural tourism in the Yangtze River Delta urban agglomeration

PLoS ONE ◽  
2021 ◽  
Vol 16 (6) ◽  
pp. e0252842
Author(s):  
Zhangyu Shi ◽  
Dehong Xu ◽  
Lidi Xu
Keyword(s):  
Yangtze River ◽  
Cultural Tourism ◽  
Yangtze River Delta ◽  
River Delta ◽  
Urban Agglomeration ◽  
Quality Development ◽  
The Yangtze River ◽  
High Quality ◽  
Impact Mechanism ◽  
The Yangtze River Delta

The Yangtze River Delta urban agglomeration is the leading and demonstration area for the high-quality development of culture tourism (HDCT) in China. It is of great significance to study the spatiotemporal characteristics and impact mechanism of the HDCT for revealing the internal law of HDCT and promoting the collaborative innovation of culture tourism among cities. Based on the scientific construction of the evaluation system of HDCT, this paper made a quantitative analysis of 26 cities’ HDCT by using coupling coordination degree model, Lisa spatiotemporal transition and spatial Durbin model (SDM). The results show that: The overall level of 26 cities’ HDCT shows a fluctuating upward trend, and presents a "Z" pattern in space. More than 80% of the cities are at the medium and high level. Shanghai has obvious advantages in the primacy degree. There is a significant positive spatial autocorrelation among cities with high-quality of culture tourism development. The spatial clustering and proximity of the same kind are increasing, and the radiation effect is gradually obvious. The local spatial association patterns are mainly HH and LL agglomeration, and the characteristics of polarization are gradually prominent. The local spatial correlation structure of HDCT has strong stability, the transfer inertia between types is prominent, and the overall spatial evolution is lack of integration with obvious path dependence and lock-in effect. The spatiotemporal evolution of the HDCT is a complex process under the interaction of multiple factors, and there is a significant spatial spillover effect (0.256). The level of economic development, technological innovation, professional talent allocation are the three main factors. According to the dominant factor, it can be divided into economy stabilizing type, industry optimizing type, innovation driving type and traffic impacting type. These findings have implications for local governments and tourism management departments to achieve high-quality innovative development of cultural tourism.

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
Keyword(s):  
Index System ◽  
Yangtze River ◽  
Manufacturing Industry ◽  
Manufacturing Sector ◽  
Regional Scale ◽  
Intelligent Manufacturing ◽  
Entropy Method ◽  
Evaluation Index System ◽  
Evaluation Index ◽  
The Yangtze River

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.

scholarly journals Study on Agglomeration Level and Effect of Equipment Manufacturing Industry in the Yangtze Delta Urban Agglomeration

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Min Zhou ◽  
Sheng Li ◽  
Yu Wu
Keyword(s):  
Yangtze River ◽  
Manufacturing Industry ◽  
Yangtze River Delta ◽  
River Delta ◽  
Urban Agglomeration ◽  
The Yangtze River ◽  
Agglomeration Effect ◽  
Equipment Manufacturing ◽  
Equipment Manufacturing Industry ◽  
The Yangtze River Delta

This paper analyzes the agglomeration level and agglomeration effect of 8 subindustries of equipment manufacturing industry and 26 prefecture-level cities in the Yangtze River Delta (YRD). From the perspective of industry, the agglomeration change trend of 8 subsectors of equipment manufacturing industry from 2006 to 2016 in the Yangtze River Delta Urban Agglomeration (YRDUA) is analyzed. From the perspective of cities, the spatial differences of equipment manufacturing agglomeration degree in 26 prefecture-level cities in the YRDUA are discussed. By using CES production function, the agglomeration effect of equipment manufacturing agglomeration is studied. The results show that the YRDUA has formed an agglomeration pattern of equipment manufacturing industry, with Shanghai as the core, and Hefei, Hangzhou, Suzhou, and Nanjing as the auxiliary cities, and the overall agglomeration effect in the region is relatively obvious.

scholarly journals Government R&D Subsidies, Environmental Regulations, and Their Effect on Green Innovation Efficiency of Manufacturing Industry: Evidence from the Yangtze River Economic Belt of China

2020 ◽  
Vol 17 (4) ◽  
pp. 1330 ◽  
Author(s):  
Ming Yi ◽  
Yiqian Wang ◽  
Modan Yan ◽  
Lina Fu ◽  
Yao Zhang
Keyword(s):  
Yangtze River ◽  
Manufacturing Industry ◽  
Industrial Structure ◽  
Environmental Regulations ◽  
Significance Test ◽  
Efficiency Improvement ◽  
The Yangtze River ◽  
Green Innovation ◽  
Negative Effects ◽  
Interaction Terms

The Yangtze River Economic Belt is the most important manufacturing economic belt in China. The level of manufacturing green innovation efficiency of the Yangtze River Economic Belt directly affects the overall competitiveness of China’s manufacturing industry. With panel data from 11 provinces and cities along the Yangtze River Economic Belt in China for the period of 2008 to 2017, this paper applies the slacks-based measure (SBM)-data envelopment analysis (DEA) model and panel Tobit model to conduct an empirical study of the effects of government research and development subsidies and environmental regulations on the green innovation efficiency of the manufacturing industry of the Yangtze River Economic Belt. The results show that, firstly, government R&D subsidies and environmental regulations are both conducive to improving the green innovation efficiency of the manufacturing industry of the Yangtze River Economic Belt; secondly, because of the fact that the interaction terms between government R&D subsidies and environmental regulations failed to pass the significance test, the positive moderating effects of R&D subsidies on environmental regulations and green innovation efficiency of the manufacturing industry are not obvious; thirdly, in terms of control variables, strengthening agglomeration is the only factor that is positively correlated with green innovation efficiency improvement of the manufacturing industry. Enterprise scale and industrial structure have negative effects on green innovation efficiency improvement, and the openness of economy has no correlation with green innovation efficiency.

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