Towards Green and Low-Carbon Development in Chinese Cities

Urbanisation ◽  
2020 ◽  
pp. 245574712091870
Author(s):  
Meian Chen ◽  
Li Yang ◽  
Min Hu ◽  
Diego Montero
Keyword(s):  
Indicator System ◽  
Service Industries ◽  
Index Score ◽  
High Tech ◽  
Low Carbon ◽  
Diverse Range ◽  
Chinese Cities ◽  
Time Period ◽  
Population Sizes ◽  
Low Carbon Development

This article presents an indicator system called Low-Carbon and Green Index for Cities (LOGIC) that evaluates the performance of Chinese cities in terms of low-carbon development and identifies areas for improvement. This system issues a score ranging from 0 to 100, with a higher score indicating a better performance in lower carbon growth within a specified time period. LOGIC was applied to a sample of 115 Chinese cities representing a diverse range of population sizes, income levels, geographies and stages of economic and urban growth between 2010 and 2015. The results of this study indicate that these cities have made progress in green and low-carbon development. In addition, more than 90 of the 115 sampled cities experienced GDP growth alongside LOGIC score growth over the selected period, showing that green and low-carbon goals are not antithetical to good economic performance. The average overall index score for all 115 Chinese cities in 2015 was 44.9 out of 100, reflecting China’s heavy reliance on coal and its energy-intensive economy. Low-carbon pilot cities had an average overall index score of 47.0 in 2015 compared to an average of 42.9 for non-pilot cities. These LOGIC results suggest that transforming city economies away from energy-intensive towards high-tech and service industries could facilitate their low-carbon and green growth. This article uses the city of Wuhan as a case study to illustrate the application of LOGIC and its utility in assessing city-level low-carbon efforts.

scholarly journals Evaluation of Low-Carbon Development of Chinese Cities in 2018

2021 ◽  
pp. 2150003
Author(s):  
CHEN Nan ◽  
ZHUANG Guiyang ◽  
ZHU Shouxian ◽  
WANG Dong ◽  
LI Jue
Keyword(s):  
Capital Investment ◽  
Indicator System ◽  
Low Carbon ◽  
Central Cities ◽  
Chinese Cities ◽  
Evaluation Indicator ◽  
Service Oriented ◽  
Evaluation Indicator System ◽  
Low Carbon Development ◽  
Low Carbon City

This paper evaluates the low-carbon development of 176 Chinese cities in 2018 using the Low-carbon City Evaluation Indicator System developed by Research Institute for Eco-civilization, Chinese Academy of Social Sciences. The evaluation shows an overall improvement of low-carbon development of cities in China, with 10 cities scoring 90 points and above, and 106 cities scoring 80–89 points. From the perspective of city category, the low-carbon development scores present an order as follows: service-oriented [Formula: see text]-prioritized [Formula: see text] cities. Geologically speaking, eastern cites perform best, western cities come second and central cities come last. Of the three batches of low-carbon city pilots, the scores follow the pattern of Batch [Formula: see text] 3. Most cities are characterized by high carbon consumption and reduced efforts in low-carbon management and capital investment. Finally, this paper proposes to attach more importance to low-carbon development and strengthen capacity building for low-carbon governance; intensify efforts for constructing low-carbon pilots in order to help achieve the goal of carbon emission peak during the “14th Five-Year Plan” period; and to improve the Low-carbon City Evaluation Indicator System.

Study on Factors Analysis Low-Carbon Development in Hi-Tech Industrial Park − A Case Study in China

2012 ◽  
Vol 610-613 ◽  
pp. 3149-3153
Author(s):  
Juan Wen ◽  
Wen Tao Chang ◽  
Peng Fei Shi ◽  
Tao Sun
Keyword(s):  
High Tech ◽  
Low Carbon ◽  
Logarithmic Mean ◽  
Factors Affecting ◽  
Strategic Option ◽  
Factors Analysis ◽  
Index Analysis ◽  
Industrial Parks ◽  
Low Carbon Development

Low-carbon development has been well recognized as a strategic option for the transformation during the socio-economic development in China. As a symbol of highest level of research and development, high-tech eco-industrial parks are playing an important role in response to climate change and the trend of low-carbon development, to maximize the low-carbon development potentials and bridge a unique and feasible solution to low-carbon development. This paper explored the factors affecting the development of high-tech eco-industrial parks using Logarithmic Mean Weight Division Index (LMDI)index analysis and Kaya equation, and summarized these factors as economic growth, industrial structures, energy efficiency, energy structures and carbon emission coefficients.

scholarly journals Have FDI quantity and quality promoted the low-carbon development of science and technology parks (STPs)? The threshold effect of knowledge accumulation

PLoS ONE ◽  
2021 ◽  
Vol 16 (1) ◽  
pp. e0245891
Author(s):  
Shujing Zhang ◽  
Beibei Hu ◽  
Xiufeng Zhang
Keyword(s):  
Positive Impact ◽  
Science And Technology ◽  
High Tech ◽  
Low Carbon ◽  
Knowledge Accumulation ◽  
Science And Technology Parks ◽  
Technology Parks ◽  
Level Of Knowledge ◽  
Low Carbon Development ◽  
The Impact

In recent times, China has emphasized five major development concepts to promote high-quality development: coordination, green, innovation, openness, and sharing. As a metamorphosis of these ideas, Chinese science and technology parks (STPs) are gathering areas of high-tech industries and represent advanced productive forces. Their greenness, openness, and innovative developments herald the future development trends of China. Based on the data of 52 STPs in China from 2011 to 2018, this study analyzes the impact of foreign direct investment (FDI) quantity and quality on the low-carbon development of the STPs. We use Hansen’s nonlinear panel threshold regression model with knowledge accumulation as the threshold variable. The results show the following: First, there are complex nonlinear relationships between FDI quantity, FDI quality, and the low-carbon development of the STPs. Second, FDI quantity has a significant positive impact on the low-carbon development of the STPs only when the level of knowledge accumulation is below a certain threshold. Beyond this threshold the effect is no longer significant. Third, FDI quality has a significant positive impact on the low-carbon development of STPs only when the level of knowledge accumulation is lower than a certain threshold; beyond which, the impact is no longer significant. These results can serve as a reference for China to effectively promote economic low-carbon growth of STPs and achieve green, open, and innovative development.

Toward low-carbon development: Assessing emissions-reduction pressure among Chinese cities

2020 ◽  
Vol 271 ◽  
pp. 111036 ◽  
Author(s):  
Shulei Cheng ◽  
Wei Fan ◽  
Fanxin Meng ◽  
Jiandong Chen ◽  
Bofeng Cai ◽  
...  
Keyword(s):  
Emissions Reduction ◽  
Low Carbon ◽  
Chinese Cities ◽  
Low Carbon Development

scholarly journals Research on Assessment Index System for Low-carbon Development

2021 ◽  
Vol 275 ◽  
pp. 02008
Author(s):  
Chengzhi Niu ◽  
Yougan Zhu
Keyword(s):  
Climate Change ◽  
Global Climate Change ◽  
Global Climate ◽  
Indicator System ◽  
Low Carbon ◽  
Analytic Hierarchy ◽  
Assessment Index ◽  
Development Indicators ◽  
Development Indicator ◽  
Low Carbon Development

Due to the severe situation of global climate change and depletion of energy resources, low-carbon development has become an inevitable choice for global climate change and maintaining sustainable economic and social development. In order to promote low-carbon development, we should scientifically evaluate the low-carbon development status of a country, economy or region. At present, the research on low-carbon evaluation indicators is still in the exploratory stage. There are not many low-carbon indicators that are really used in practice, and there is currently no recognized and authoritative low-carbon evaluation indicator system. Based on this, this article attempts to use the analytic hierarchy process to further study the low-carbon development indicator system, to establish a scientific and objective system of low-carbon development indicators, and use such an indicator system to guide and promote low-carbon development.

scholarly journals Low-Carbon Development Patterns: Observations of Typical Chinese Cities

Energies ◽  
2012 ◽  
Vol 5 (2) ◽  
pp. 291-304 ◽  
Author(s):  
Meirong Su ◽  
Chen Liang ◽  
Bin Chen ◽  
Shaoqing Chen ◽  
Zhifeng Yang
Keyword(s):  
Low Carbon ◽  
Chinese Cities ◽  
Development Patterns ◽  
Low Carbon Development
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