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Keywords = new fixed asset investment projects

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29 pages, 4587 KB  
Article
Total Investment in Fixed Assets and the Later Stage of Urbanization: A Case Study of Shanghai
by Yulong Luo, Can Wang, Chen Chen, Kangle Ding and Weiliang Zeng
Sustainability 2021, 13(7), 3661; https://doi.org/10.3390/su13073661 - 25 Mar 2021
Cited by 5 | Viewed by 3501
Abstract
After more than 40 years’ opening-up and reform, China’s urbanization has entered a new type of urbanization. In order to reveal the rule of different infrastructure investments and urbanization relationships, this paper uses Shanghai as a case by applying econometric methods to study [...] Read more.
After more than 40 years’ opening-up and reform, China’s urbanization has entered a new type of urbanization. In order to reveal the rule of different infrastructure investments and urbanization relationships, this paper uses Shanghai as a case by applying econometric methods to study the detailed relationship between different indicators from 1990 to 2019. Firstly, we quantify that each variable has a long-term co-integration relationship with urbanization by co-integration test. And we found that the real estate is a main driving force of urbanization while the construction project investment plays an important role in promoting the urbanization rate in the studied period. Secondly, according to the Granger test, our study illustrates that each variable has a bilateral Granger relationship with urbanization while the urbanization rate has more Granger causality impact on the studied variables. Thirdly, based on impulse response test and variance decomposition analysis, we found that urbanization rate with other variables accounts for the majority of the percentage of impacts while the total investment in fixed assets and its three categories contribute a small amount to the urbanization rate. Finally, we propose policy suggestions to strengthen healthy urbanization development in Shanghai. Full article
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21 pages, 806 KB  
Article
New Fixed Assets Investment Project Environmental Performance and Influencing Factors—An Empirical Analysis in China’s Optics Valley
by Fumin Deng, Yanan Jin, Meng Ye and Shuangyi Zheng
Int. J. Environ. Res. Public Health 2019, 16(24), 4891; https://doi.org/10.3390/ijerph16244891 - 4 Dec 2019
Cited by 15 | Viewed by 4207
Abstract
Civilization prospers when the ecology prospers, and civilization decays when the ecology decays. As an effective indicator of sustainable development of economy and resource environment, environmental performance can comprehensively reflect the actual level of coordinated development of the economy and environment system. This [...] Read more.
Civilization prospers when the ecology prospers, and civilization decays when the ecology decays. As an effective indicator of sustainable development of economy and resource environment, environmental performance can comprehensively reflect the actual level of coordinated development of the economy and environment system. This paper exemplifies China’s Optics Valley to evaluate its environmental performances and research the influencing factors of new fixed assets investment projects, for which a new fixed assets investment project environmental performance assessment system was constructed. The measurement model for the system was constructed using a generalized data envelopment analysis (DEA) with undesirable output to evaluate the environmental performances of the new fixed assets investment projects in China’s Optical Valley from 2011 to 2016. The multi-regression model with eight environmental performance hypotheses was established to determine the key influencing factors and to propose targeted countermeasures to enhance low-carbon innovation and promote low-carbon economic development. The results indicated that implementing new fixed assets investment project energy conservation assessments and reviews in high-tech areas could assist companies and the government in achieving better management. Full article
(This article belongs to the Special Issue Environmental and Health Efficiency Evaluation)
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