scholarly journals Enterprise Low-Carbon Behavior, Financial Performance and Economic Transformation——Data from Listed Companies in China

2021 ◽  
Vol 275 ◽  
pp. 02004
Author(s):  
Hongmei Sun ◽  
Shuqi Yao ◽  
Mucun Zhai

The low-carbon development of enterprises is an important breakthrough in Chinese economic transformation and the optimization and upgrading of the industrial structure. Based on a sample of Chinese listed companies involved in the low-carbon industry from 2010 to 2018, this paper empirically analyzes the correlation between the low carbon behavior, economic transformation and financial performance of listed companies. The results show that a company’s carbon intensity and financial performance are negatively related, and this relation is more significant when the financial performance is measured using the ROA (return on asset) of listed companies. The level of economic transformation in places where enterprises are located can significantly strengthen the positive relationship between enterprise low-carbon behavior and financial performance, including in central and western areas, where positive relationships are strengthened, and areas with heavy polluting industries, where positive relationships are weakened. Therefore, it is necessary to strengthen carbon emission supervision for non-heavy polluting industries and enterprises in the central and western regions.

Author(s):  
Chih-Yi Hsiao ◽  
Hao-Wei Chen

This study focuses on a sample of Chinese listed companies from 2019 to 2020 to explore the relationships among corporate social responsibility, financial constraints, and financial performance. In addition, we discuss five factors affecting financial constraints. We also analyze the types of enterprises that can improve their financial performance by implementing corporate social responsibility keeping in mind the factors that lead to a high degree of financial constraint. The results indicate that: 1. The degree of financial constraints has a negative and significant impact on financial performance; 2. There is a reverse relationship between the degree of financial constraints and the effectiveness of corporate social responsibility measures; 3. Enterprises with high financial constraints (due to lower financial slack and revenue growth rates) can significantly improve their financial performance through the implementation of effective corporate social responsibility programs. 4. Enterprises with high financial constraints, caused by financial slack and revenue growth rate, can significantly improve their financial performance by implementing corporate social responsibility programs.


2020 ◽  
Vol 12 (17) ◽  
pp. 6799 ◽  
Author(s):  
Liu Wu ◽  
Zhen Shao ◽  
Changhui Yang ◽  
Tao Ding ◽  
Wan Zhang

This paper explores the impact of corporate social responsibility (CSR) and financial distress on corporate financial performance (CFP) in Chinese listed companies of the manufacturing industry. Covering a total of 1445 manufacturing observations from 2013 to 2018 by matching the China Stock Market & Accounting Research Database (CSMAR) and Ranking CSR Ratings (RKS) database and regression models, we find that CSR has a significant positive impact on CFP, and the relationship is more pronounced for firms that are more stable. Further, the win-win relationship of CSR and CFP is also stronger in state-owned enterprises (SOEs). These empirical results suggest that enterprises should actively embrace CSR in response to the call of the country. At the same time, corporate stability should be increased to enhance the role of CSR in promoting CFP. We provide a quantitative analysis of the CSR, CFP, and financial distress of listed firms, and help to alleviate managers’ concern of CSR fulfillment and risk control.


2013 ◽  
Vol 734-737 ◽  
pp. 1702-1706
Author(s):  
Zhong Wen Liu ◽  
Bin Gao ◽  
Peng Zhao Gao

Economic development of Shandong province is over-reliance on coal resources, which produces shackles for the development of economy in Shandong. No matter from the current economic growth mode, the structure of energy consumption and current environmental pollution, the development model of economy in Shandong requires the transition to a low-carbon model, and there is an urgent requirement to go low carbon development path. This paper analysis that the energy structure in the presence of low carbon development of coal industry in Shandong province is not coordinated, the industrial structure is irrational, the extensive mode of development has not fundamentally change and there are some achievements in low carbon technology innovation and the development of circular economy. The paper provides the path for transition to low-carbon electricity in coal industry in Shandong through coal production, coal utilization, coal technology of low-carbon transition and other aspects.


2014 ◽  
Vol 587-589 ◽  
pp. 3-6
Author(s):  
Na Lu ◽  
Yong Sun

It's important to discuss how to reduce construction land carbon emissions which is helpful for realizing low-carbon and efficient utilization of land. First, this paper chose three representative regions on construction land carbon intensity, namely Beijing, Hubei province and Guizhou province; second, based on LMDI method, it analyzed the contribution of different industrial carbon intensity effect and industrial structure effect to construction land carbon intensity in different regions between 2002 and 2008, the results show proposing the second industrials energy efficiency (65.11%) was crucial for Beijing, different industries's energy efficiency (110.5%) was important for Hubei, energy efficiency and industrial structure optimizing were crucial equally for Guizhou; finally it proposed different regions should find carbon reduction ways to local conditions.


2014 ◽  
Vol 962-965 ◽  
pp. 2418-2421
Author(s):  
Pan Miao

Taking the path of sustainable development in Shandong Province, it is inevitable to make “low carbon” transformation and structure adjustment of economy. The development of low-carbon economy in Shandong Province has attained exacting success which provides the base for the “eco-province” construction. Solar energy, nuclear energy could obtain vigorously development as renewable energy sources, and every city has taken developing low-carbon economy as new economic growth points. Although the three main industries continue optimization and upgrading with support of low-carbon, there are still exist some problems, such as irrational industrial structure, low level of technology, simple energy structure and so on. Therefore, it is necessary for Shandong Province to build long-term mechanism of develop low-carbon, readjust industrial structure, develop low-carbon technologies, and research new energy continuously to solve the bottlenecks in restricting “low-carbon economy” development.


2011 ◽  
Vol 460-461 ◽  
pp. 660-666
Author(s):  
Zhi Gang Qin

This paper presents an empirical study the factors that influence financial performance of enterprises’ industrial diversification. The method of empirical analysis is comparing the good performance diversified companies with the bad to test which factor affects the financial performance of industrial diversification significantly. Basing on the theoretical analysis, we selected variables that measure corporate governance, diversification strategy, and enterprise management. We ran logistic regression with the data from Chinese listed companies. The result shows that more meetings of the board of directors, less unrelated diversification degree, higher total assets turnover and stronger ability to obtain operating cash inflow will increase the financial performance of enterprises’ industrial diversification.


2011 ◽  
Vol 11 ◽  
pp. 953-959 ◽  
Author(s):  
Liu Chunmei ◽  
Duan Maosheng ◽  
Zhang Xiliang ◽  
Zhou Jieting ◽  
Zhang Tianhou ◽  
...  

Energies ◽  
2020 ◽  
Vol 13 (5) ◽  
pp. 1212 ◽  
Author(s):  
Yao Qian ◽  
Lang Sun ◽  
Quanyi Qiu ◽  
Lina Tang ◽  
Xiaoqi Shang ◽  
...  

Decomposing main drivers of CO2 emissions and predicting the trend of it are the key to promoting low-carbon development for coping with climate change based on controlling GHG emissions. Here, we decomposed six drivers of CO2 emissions in Changxing County using the Logarithmic Mean Divisia Index (LMDI) method. We then constructed a model for CO2 emissions prediction based on a revised version of the Stochastic Impacts by Regression on Population, Affluence, and Technology (STIRPAT) model and used it to simulate energy-related CO2 emissions in five scenarios. Results show that: (1) From 2010 to 2017, the economic output effect was a significant, direct, dominant, and long-term driver of increasing CO2 emissions; (2) The STIRPAT model predicted that energy structure will be the decisive factor restricting total CO2 emissions from 2018 to 2035; (3) Low-carbon development in the electric power sector is the best strategy for Changxing to achieve low-carbon development. Under the tested scenarios, Changxing will likely reach peak total CO2 emissions (17.95 million tons) by 2030. Measures focused on optimizing the overall industrial structure, adjusting the internal industry sector, and optimizing the energy structure can help industry-oriented counties achieve targeted carbon reduction and control, while simultaneously achieving rapid economic development.


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