scholarly journals The Level of Regional Economic Development, Green Image, and Enterprise Environmental Protection Investment: Empirical Evidence from China

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Quanxin Gan ◽  
Liu Yang ◽  
Jin Liu ◽  
Xiaofan Cheng ◽  
Han Qin ◽  
...  
Keyword(s):  
Economic Development ◽  
Environmental Protection ◽  
Regional Economic Development ◽  
Positive Role ◽  
Regional Economic ◽  
Research Results ◽  
Development Level ◽  
Green Development ◽  
New Ideas ◽  
The Relationship

Does green image impact enterprise environmental protection investment? How does the green image affect enterprise environmental protection investment? In order to solve the above problems, this paper uses an empirical analysis to explore the relationship among regional economic development level, green image, and enterprise environmental protection investment based on the empirical data of A-share manufacturing listed companies from 2007 to 2015 in China. The research results show that good green image has a positive role to promote enterprise environmental protection investment, and regional economic development level partially mediates green image and enterprise environmental protection investment. The article confirms that a good green image can send positive signals to stakeholders and increase their loyalty and satisfaction with the enterprise’s products or services. The level of regional economic development provides opportunities for the green development of enterprises. With the improvement in the level of regional economic development, stakeholders’ awareness of environmental protection has increased, and they have become more sensitive to enterprise environmental protection investment behaviors. The research results also show that the environmental awareness of corporate stakeholders plays an important role in actively fulfilling, and it provides new ideas for companies to conduct production and management in a green-oriented model.

scholarly journals Empirical research on the relationship between Informatization and Regional Economic Development of Qinghai Province

2019 ◽  
Vol 131 ◽  
pp. 01097
Author(s):  
Wei Li ◽  
Yi Li ◽  
Ya fei Liu ◽  
Sheng xi Ding
Keyword(s):  
Economic Development ◽  
Regional Economy ◽  
Correlation Method ◽  
Regional Economic Development ◽  
Coordinated Development ◽  
Regional Economic ◽  
Qinghai Province ◽  
Development Level ◽  
Gray Correlation ◽  
The Relationship

This paper according to the characteristics of Qinghai Province System, constructs the evaluation index of informatization and regional economic development level, and the relationship between informatization and regional economic development in Qinghai Province is analyzed and calculated emphatically based on gray correlation method. The results show that the influence of different indicators on the regional economic development of Qinghai Province is different. Finally, the author puts forward some suggestions on the coordinated development of informatization construction and regional economy in Qinghai Province.

Estimating Provincial Economic Development Level of China Using DMSP/OLS Nighttime Light Satellite Imagery

2013 ◽  
Vol 807-809 ◽  
pp. 1903-1908 ◽  
Author(s):  
Liang Tang ◽  
Hui Cheng ◽  
Ge Qu
Keyword(s):  
Economic Development ◽  
Satellite Imagery ◽  
Regional Economic Development ◽  
Coefficient Of Determination ◽  
Regional Economic ◽  
Development Level ◽  
Nighttime Light Data ◽  
Cubic Model ◽  
Nighttime Light ◽  
Development Levels

How to estimate regional economic development level is important for solving regional inequality problems. Most of previous studies on regional economic development are based on the statistics collected typically in administrative units. This paper has analyzed the defects of traditional studies, and attempted to research regional economic development problems with 10-year DMSP/OLS nighttime light satellite imagery as a new data source. For exploring the relationship between DMSP/OLS nighttime light data and GDP, different types of curve fitting regression models have been tried, the Cubic model has shown the best performance with a coefficient of determination (R2) equal to 0.803. Based on this positive correlation, we have estimated provincial economic development level of China using DMSP/OLS nighttime light data. The research results have indicated that the DMSP/OLS nighttime light data can well reveal provincial economic development levels.

scholarly journals Efficacy of Entrepreneurs' Psychological Capital on the Performance of New Ventures in the Development of Regional Economy in the Greater Bay Area

2021 ◽  
Vol 12 ◽  
Author(s):  
Hongbo Chen ◽  
Yitao Tao
Keyword(s):  
Economic Development ◽  
Psychological Capital ◽  
New Ventures ◽  
Great Influence ◽  
Regional Economic Development ◽  
Operation Condition ◽  
Regional Economic ◽  
Capital Theory ◽  
The Relationship ◽  
Positive Effect

The study aims to analyze the relationship between the psychological capital and enterprise performance of the entrepreneurs and provide direction for the optimization of regional economic development and talent introduction mechanism. First, the theoretical basis is established from regional economic development, innovative talent introduction, and individual psychological capital theory, according to which the questionnaire survey is designed, and four dimensions of self-efficacy (C), wish (W), toughness (T), and optimism (O) are selected to set the questions on psychological capital and innovation performance. Then, following statistical analysis, the characteristics of the new ventures are revealed. Finally, based on the empirical research model, the hypotheses are put forward based on psychological capital and its four subdimensions, and the relationship between the efficacy of the psychological capital and the performance of new ventures of the entrepreneurs is revealed through regression analysis. The results show that the proportion of the computer and education industry in the new ventures reaches 67.7%, and the proportion of enterprises with 1–5 entrepreneurial years reaches 78%. Meanwhile, the proportion of first-time entrepreneurship is 60.5%, and the proportion of entrepreneurs motivated by their ideal reaches 35.8%. The new entrepreneurs have a good grasp of the market situation, and the overall operation condition is stable. Most of them originate from micro and small enterprises (MSE). Psychological capital has a great influence on individual entrepreneurship. The empirical results show that the psychological capital of entrepreneurs has a positive effect on the performance of new ventures. Except for the subdimension of O, the other three subdimensions (C, T, and W) of psychological capital have a positive effect on the performance of new ventures, and psychological capital as a whole has the greatest impact. The results provide a reference for the relationship between the performance improvement of new ventures and regional economic development.

Dynamic relationship between meteorological data sharing capability and regional economic development

2021 ◽  
pp. 002072092098607
Author(s):  
Danna Shen ◽  
Yanghanchao Hu ◽  
Dong Li
Keyword(s):  
Economic Development ◽  
Data Sharing ◽  
Meteorological Data ◽  
Regional Economic Development ◽  
Var Model ◽  
Panel Var ◽  
Regional Economic ◽  
Research Results ◽  
Dynamic Relationship ◽  
Significant Difference

Based on the data from 31 provincial administrative regions in China from 2003 to 2018, this paper uses the panel VAR model to study the dynamic relationship between the meteorological data sharing capability and regional economic development. The research results show that the meteorological data sharing capability can make a significant difference in a small part of the regional economic development. Relatively speaking, regional economic development has a greater impact on the amount of meteorological data sharing. This study innovatively seeks and establishes data association between meteorological engineering field and regional economic field, and provides a new idea for meteorological data research from the perspective of external macro environment.

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