Construction of a Scientific Evaluation Indicator System for Low-Carbon Tourist Spots

2012 ◽  
Vol 573-574 ◽  
pp. 848-853
Author(s):  
Zheng Liu ◽  
Xin Zhou Hu

Nowadays the low-carbon economic development model is becoming more and more popular all over the world. The low-carbon economy requires the reduction of the consumption of high-carbon energy and the emission of greenhouse gas, and the combination of economic development and environmental protection. So the tourist spots should also conform to the trend and set low-carbon tourism as their goals that call for energy conservation and emission reduction to build up a good mode of economic circulation. Under this background, this essay explores to put forward a set of reasonable and concise evaluation indicator system. The system tries to fully reflect low-carbon levels of the tourist spots and find out the problems. What is more, the essay can provide a theory basis for the management and the implementation of policies.

Author(s):  
Huifeng Li ◽  
Xiaofang Wang

Global warming, which is caused by over consumption of fossil energy during economic development in human society, threatens global ecological balance, tampers social and economic development, imperils energy security, ecological safety, water and food safety, and endangers the entire human race. Low carbon economy is a new economic development model based on low energy consumption, low pollution, and low-emission-based. This paper analyzes the Status quo and Limits of the Chinese Low Carbon Economy, making deep research on Design and Implementation Strategy of Chinese Low Carbon Economic model.


Author(s):  
Huifeng Li ◽  
Xiaofang Wang

Global warming, which is caused by over consumption of fossil energy during economic development in human society, threatens global ecological balance, tampers social and economic development, imperils energy security, ecological safety, water and food safety, and endangers the entire human race. Low carbon economy is a new economic development model based on low energy consumption, low pollution, and low-emission-based. This paper analyzes the Status quo and Limits of the Chinese Low Carbon Economy, making deep research on Design and Implementation Strategy of Chinese Low Carbon Economic model.


2014 ◽  
Vol 608-609 ◽  
pp. 1041-1045
Author(s):  
Lan Lan Xie

The low carbon economy development mode refers to the use of a low carbon economy related theoretical knowledge, organization economy and social activity, the traditional economic development mode is transformed into a new low carbon economy development mode. With the economic development of Hebei Province, a low carbon economy development as the guidance, and Hebei Province low carbon economy development planning as the purpose, to establish Hebei Province low carbon economy development mode structure. At the same time, the economic development of Hebei Province is carried out investigation and analysis, the original data of Hebei Province economic development uses standard data method and normal distribution, to carry out standard processing. According to the analytic hierarchy process, the combination of Hebei Province low carbon economy evaluation and index hierarchy analysis method, to carry out system evaluation for the overall carbon economy development.


2014 ◽  
Vol 962-965 ◽  
pp. 2364-2368
Author(s):  
Xiu Qin Ma ◽  
Lin Pei Chu ◽  
Hui Qin Dong ◽  
Hong Lin

In order to deal with global warming, resource depletion and environmental degradation, China must develop low-carbon economy to cope with global climate change and maintain sustainable economic development. The important step in the transfer of low-carbon economy from the theoretical stage to practical application stage is to evaluate the level of economic development of low-carbon and to study its time-space disparities. In this paper, a low-carbon economy index system is used to evaluate comprehensively low-carbon economic development in Hebei Province. The evaluation results are analyzed to verify that the results are consistent with the actual situation of low-carbon economic development by using space-time analysis method.


2017 ◽  
Vol 14 (1) ◽  
pp. 157-161
Author(s):  
Xie Jing ◽  
Xu Na ◽  
Zhang Lin

Due to the increase in global carbon dioxide emissions, climate change, rising sea levels and other issues have become increasingly prominent. In the three major industries, industrial emissions of carbon dioxide accounted for the largest proportion of the total emissions. Developing a low-carbon economy, especially with regard to industrial low-carbon economy, has become the only way for Chinese society to achieve sustainable development. Building a scientific evaluation system of a low-carbon economy is an essential way to assess the level of regional industrial low-carbon economy comprehensively and correctly. In this paper, we establish the Hebei low-carbon economy Evaluation System based on DSR model, according to the industrial carbon economic development in Hebei Province, using factor analysis to obtain the main factors affecting the low-carbon economy in Hebei Province, establishing extended model, then propose measures for Hebei industrial low-carbon economic development.


2015 ◽  
Vol 1092-1093 ◽  
pp. 1576-1580 ◽  
Author(s):  
Lei Xia

Low carbon economy is a kind of low energy consumption, low pollution, low emission as the basis of a new form of economic development, is the inevitable trend of harmonious development of man and nature. Based on expounding the connotation of low carbon economy and the elements, select the evaluation of each index of low carbon economic development level, the construction of the evaluation index system of low carbon economy, quantitative evaluation of the level of development of low carbon economy, and on this basis, put forward our country in the development of low carbon economy in the course of the transformation of the economic mode of development, increase investment in science and technology, the adjustment of energy consumption structure, optimize the industrial structure, the development of carbon sequestration potential of proposed measures.


2012 ◽  
Vol 573-574 ◽  
pp. 960-964
Author(s):  
Ying Fan

In 2009 the project of ‘China’s acclimatization’ organized by China, England and Switzerland together selects Ningxia Hui autonomous region as the experimental unit of the project. As Ningxia locates the inland of west China with vivid climate feature, fragile ecological environment, extensive economic development and obvious feature of high carbon, it is urgent for it to explore the road of developing low-carbon economy and is also commonly significance of reference for both China’s minority regions and other developing countries with rich coal resource.


2020 ◽  
Vol 4 (1) ◽  
pp. 8
Author(s):  
Xingle Teng ◽  
Jian Rong

This paper starts from the analysis of the connotation of low-carbon economy, and establishes the evaluation index system of regional low-carbon economic development level. The main research content is to determine the index weight, judge the correlation degree and sort the decision-making units by entropy method, grey correlation analysis and TOPSIS method, and finally make a comprehensive evaluation of the low-carbon economic development level of Shandong Province. The conclusion shows that the development level of low-carbon economy in Shandong Province shows a good trend year by year, but the consumption dependence on high energy consumption resources and backward ecological benefits are increasingly becoming the bottleneck of the development of low-carbon economy in Shandong Province.


Author(s):  
Wenyan Pan ◽  
Muhammad Awais Gulzar ◽  
Waseem Hassan

The “driver–pressure–state–impact–response” (DPSIR) model has recently become a popular approach to deal with environmental problems. The combination of DPSIR with analytic hierarchy process (AHP) is a useful method to study low-carbon evaluation because the AHP model has a special advantage in multi-indexes evaluation. This paper constructs the low-carbon economy evaluation system and comprehensively evaluates the numerical value of low-carbon economic development of China’s 30 regions from 2000 to 2015 by using the AHP method. It shows that the numerical value of low-carbon economy of China’s 30 regions varies in terms of growth rate. The numerical value of east regional low-carbon economy shows a pattern that is gradually higher than that of the west region. The numerical value of low carbon economic development in the south region is higher than that of the north region by degrees. In addition, based on the model of coordination degree in 2015, the result indicated that the four subsystems have primary coordination in the east area and bare coordination in the central and west areas. It is indicated that the four sub-indexes should be developed at the same pace and promoting the development of a low-carbon economy in the mid-west areas is the key in China. Finally, we proposed that environmental regulations and policies should be formulated to improve coordination in various aspects and various departments. Calculating the degree of low-carbon economic coupling coordination may be helpful for policy makers to formulate effective policies and take actions in the future.


2018 ◽  
Vol 53 ◽  
pp. 01019
Author(s):  
Wenxiu Wang ◽  
Wenjun Wang ◽  
Daiqing Zhao

One of obvious characteristics of low-carbon economy is that economic development level and carbon productivity reached a certain high level at the same time. In this article, 21 cities of Guangdong province in China are categorized as region A, B and C based on their economic level and carbon productivity level. Shenzhen city in region A is chosen as “model city”, because it has the highest economic development level and carbon productivity. Chasing decoupling model for other cities to catching up with “model city” is established based on tapio decoupling model. Main results show that most of cities did not catch up with the “model city” during 2005 to 2016. Finally, different low-carbon development proposals are proposed for region A, B and C,respectively. Cities in region A should improve the technology level of energy saving and carbon reduction. Cities in region B should develop high value-added and low carbon industries while strive for ecological compensation funds. In addition to the ecological compensation fund, cities in region C should also develop ecological industry vigorously.


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