Research on Sustainable Development of Ecology Based on Ecological Footprint Theory - Case Study of Liaocheng City in ShanDong Province

2013 ◽  
Vol 726-731 ◽  
pp. 4119-4122
Author(s):  
Hui Yu ◽  
Ying Bo Zhu
Keyword(s):  
Carrying Capacity ◽  
Environmental Sustainability ◽  
Ecological Footprint ◽  
Shandong Province ◽  
Ecological Carrying Capacity ◽  
Productive Land ◽  
Statistical Yearbook ◽  
The City ◽  
Consumption Demand

Ecological footprint theory is used to evaluate the eco-environmental conditions by calculating the area of regional productive land. The research would estimate the environmental sustainability of the lifestyle of residents in Liaocheng city using the ecological footprint as the indicator of consumption. At first, the related conceptions of ecological footprint will be introduced, then analysis the disparity between consumption demand and available supply on the basis on data from statistical yearbook of Shandong Province in 2011. The result shows that the ecological footprint exceeds 27.9 times of ecological carrying capacity which indicate that the city was in unsustainable situation in 2011.

Application of Modified Ecological Footprint Model: A Case Study of Tibet, China

2013 ◽  
Vol 295-298 ◽  
pp. 987-991
Author(s):  
Guan Nan Cui ◽  
Xuan Wang
Keyword(s):  
Economic System ◽  
Carrying Capacity ◽  
Ecological Footprint ◽  
System Development ◽  
Energy Resources ◽  
Emergy Analysis ◽  
Development Index ◽  
Footprint Model ◽  
Ecological Carrying Capacity

To improve the ecological footprint model in aspect of reflecting sustainability of the economic, social and technological, the emergy analysis and socio-economic system development index were introduced into the model. The modified ecological footprint model was applied in the calculation of ecological carrying capacity and ecological footprint in Tibet, China. The ecological carrying capacity/cap is 19.13hm2, and the ecological footprint/cap is 8.96hm2. The result shows that the Tibet region is under the condition of ecological surplus and it is suitable for further programs development to some extent. But the high proportion of energy resources, cement and fertilizer utility should draw attention during the exploitation or construction progress.

Analysis on Ecological Footprint and Bio-Capacity of Shandong in 2012

2014 ◽  
Vol 1010-1012 ◽  
pp. 722-725
Author(s):  
Hong Yu Jia ◽  
Jing Xu ◽  
Gao Sheng Zhang
Keyword(s):  
Carrying Capacity ◽  
Ecological Footprint ◽  
Ecological Carrying Capacity ◽  
Ecological Deficit ◽  
Per Capita ◽  
Statistical Yearbook

Based on the data of Shandong’ statistical yearbook-2013, Shandong’s ecological footprint (EF) and bio-capacity (BC) are calculated and analyzed. The ecological footprint is 4.594781 hm2per capita, the ecological carrying capacity is 0.995870 hm2per capita. Results show that Shandong is a region with a severe ecological deficit which comes up to 2.096052 hm2per capita .That means the development of Shandong is not sustainable.

Ecological Footprint Calculation Model Parameters - For Example in Beijing Urban

2011 ◽  
Vol 356-360 ◽  
pp. 752-755
Author(s):  
Ying Li ◽  
Ting Ting Guo ◽  
Quan Yu Zhao
Keyword(s):  
Ecological Footprint ◽  
Calculation Model ◽  
Literature Survey ◽  
Model Parameters ◽  
Land Resources ◽  
Footprint Model ◽  
Ecological Carrying Capacity ◽  
Object Use ◽  
Yield Factor ◽  
Statistical Yearbook

In this paper, the research start with two important parameters in the balance of factors and yield factors applied the ecological footprint model, select Beijing Fangshan, Pinggu and Yanqing as a research object, use the "Beijing Statistical Yearbook .2009" and the Beijing Municipal Land resources provided by the literature survey data to calculate the balance in Beijing's various land factor and Fangshan, Pinggu, Yanqing various types of land yield factor, and for the Beijing urbanization ecological carrying capacity guarantee.

scholarly journals Strategies for the Development of Smart Cities: The Case of Kalampaka-Greece

2018 ◽  
Vol 5 (1) ◽  
pp. 70
Author(s):  
Christos Stamopoulos ◽  
Eleni Theodoropoulou
Keyword(s):  
Quality Of Life ◽  
Environmental Sustainability ◽  
Smart Cities ◽  
Determining Factors ◽  
Construction Strategies ◽  
The City ◽  
Simple Selection ◽  
Selection Of

The present paper investigates the characteristics and best construction strategies of smart cities around the world, as well as the determining factors of the satisfaction of the quality of life and the importance of the value of environmental sustainability. A case study of the city of Kalampaka and its residents was examined. The survey was conducted between July 2016 and August 2016. The selection of the sample was done by using the method of simple selection and includes a random sample of N=150 individuals. Statistical analysis showed that resident’s knowledge about smart cities was fairly good (48% of sample knew the phrase “smart cities”). Furthermore, they believe that the appearance of the city of Kalampaka needs improvement (75% of sample is disappointed with the current appearance of the city). Regression analysis showed that the value of environmental sustainability is greatly influenced by the energy saving, as well as, innovation has an impact on the level of quality of life. Older people seem to be satisfied with administration’s efforts.

scholarly journals Assessing the Ecological Carrying Capacity Based on Revised Three-Dimensional Ecological Footprint Model in Inner Mongolia, China

2019 ◽  
Vol 11 (7) ◽  
pp. 2002 ◽  
Author(s):  
Yening Wang ◽  
Yuantong Jiang ◽  
Yuanmao Zheng ◽  
Haowei Wang
Keyword(s):  
Carrying Capacity ◽  
Inner Mongolia ◽  
Ecological Footprint ◽  
Industrial Structure ◽  
Three Dimensional ◽  
Factors Affecting ◽  
Ecological Carrying Capacity ◽  
Green Development ◽  
Positive Linear Correlation ◽  
Industrial Structure Adjustment

Under the concept of green development, accurately mapping ecological carrying capacity to effectively evaluate regional sustainability has already become an important issue in China. This study introduced ecological carrying capacity intensity (ECintensity) based on the revised three-dimensional ecological footprint (3DEF) model to describe the temporal–spatial patterns of three-dimensional ecological carrying capacity (EC3D) in Inner Mongolia in 2010–2016 and to explore factors affecting socioeconomic sustainable development. The results showed that ecological footprint size (EFsize) differed between cities/leagues but changed little during the study period. Ecological footprint depth (EFdepth) far exceeded the original value of 1.00. Ecological carrying capacity (EC) varied in cities/leagues, while ECintensity increased slowly with stronger potential for regional development. Three-dimensional ecological deficits (ED3D) of cities/leagues were divided into five categories: Hohhot, Hulunbuir and Banyannur were in larger ecological surplus; Hinggan was in slight surplus; Baotou, Chifeng, Tongliao, Ulanqab, Xilin Gol and Erdos were in slight deficit; Wuhai was in stronger deficit; and Alxa was in severely intense deficit. Woodland of cities/leagues was continuously in slight ecological surplus, while cropland and grassland had crucial impacts on deficit. There was a significant positive linear correlation between gross domestic product (GDP) and footprint, while a negative correlation was seen with deficit. These results would help coordinate resource utilization and industrial structure adjustment in Inner Mongolia.

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