scholarly journals Treating ecological deficit with debt: The practical and political concerns with green bonds

Geoforum ◽  
2020 ◽  
Vol 114 ◽  
pp. 49-58
Author(s):  
Ryan Jones ◽  
Tom Baker ◽  
Katherine Huet ◽  
Laurence Murphy ◽  
Nick Lewis
Keyword(s):  
Ecological Deficit

Dynamic Analysis and Prediction of Ecological Footprint in Jilin Province of China Based on Grey Prediction Model

2014 ◽  
Vol 472 ◽  
pp. 899-903 ◽  
Author(s):  
Biao Gao ◽  
Qing Tao Xu
Keyword(s):  
Prediction Model ◽  
Ecological Footprint ◽  
Jilin Province ◽  
Grey Prediction ◽  
Dynamic Changes ◽  
Ecological Capacity ◽  
Grey Prediction Model ◽  
Ecological Deficit ◽  
Gray Prediction ◽  
Per Capita

The paper calculates ecological footprint per capita and ecological capacity per capita in the Jilin province during 1998 and 2010 by using the ecological footprint theory, and analyzes the dynamic changes of ecological footprint per capita and ecological capacity per capita, and obtains development prediction model of ecological footprint per capita and ecological capacity per capita based on grey prediction model. The results indicate the ecological footprint per capita had increased continuously from 1.7841 hm2 per capita to 3.2013 hm2 per capita between 1998 and 2010. During this period, ecological capacity per capita dropped from 1.3535 hm2 per capita to 1.3028 hm2 per capita. Ecological deficit had increased from 0.4306 hm2 per capita to 1.8985 hm2 per capita that showed that the development of Jilin province was in an unsustainable status. The gray prediction model shows the ecological footprint per capita in the Jilin province will increase from 3.4833 hm2 per capita to 5.7022 hm2 per capita between 2011 and 2020, ecological capacity per capita will drop from 1.2978 hm2 per capita to 1.2676 hm2 per capita and ecological deficit will increase from 2.1855 hm2 per capita to 4.4346 hm2 per capita.

Research on Sustainable Development Capacity of Yellow River Wetland Based on the Ecological Footprint Model - A Case of Dongying

2013 ◽  
Vol 749 ◽  
pp. 110-117 ◽  
Author(s):  
Xiao Juan Zhang
Keyword(s):  
Economic Growth ◽  
Ecological Footprint ◽  
Social Economic ◽  
Ecological Capacity ◽  
Footprint Model ◽  
Ecological Deficit ◽  
The Social ◽  
Dongying City ◽  
Social Economic Development ◽  
Ecological Pressure

The ecological footprint demand and ecological capacity for the six types of productive land during 2005~2010 are calculated using the ecological footprint model in this paper by taking Dongying City as the example, and the ecological deficit of Dongying City is thereby figured out. Based on this, the indicators such as the ecological footprint of 10k yuan GDP, the ecological pressure index, the ecological diversity index, and the social economic development index, etc representing the sustainable development are calculated and analyzed, to learn that it is not allowed to be optimistic about the ecological environment in Dongying in recent years, as the ecological deficit has increased year after year, and the ecological pressure has become heavier and heavier. However, it is learned through analysis of the ecological footprint of 10k yuan GDP and the social economic development index that under the situation when the ecological pressure on economic growth in the ecological economic system of Dongying is increased, a tendency exists for the consumptive and extensive economic growth pattern to gradually step towards the ecologically intensive pattern, but it is still required to make more efforts in the aspects of reducing the ecological footprint demand and improving the ecological capacity.

Regional Environmental Capacity Study for Jiaxing City

2012 ◽  
Vol 610-613 ◽  
pp. 961-964
Author(s):  
Cheng Long He ◽  
Wen Li Liu ◽  
Xin Guo Wu ◽  
Wei Luo
Keyword(s):  
Carrying Capacity ◽  
Ecological Footprint ◽  
Rapid Development ◽  
Stressful Situation ◽  
Environmental Capacity ◽  
Model Combination ◽  
Ecological Civilization ◽  
Ecological Deficit ◽  
Environmental Carrying Capacity ◽  
City Construction

Jiaxing is listed experiment city of the national ecological civilization construction in 2012. Correctly understand and evaluate the supply of resources and environmental carrying capacity is an important prerequisite of ecologically-civilized city construction. The article structures emergy ecological footprint model combination emergy analysis theory and ecological footprints model.It can quantitative analysis environmental carrying capacity of Jiaxing through comparing ecological carrying capacity and the ecological footprint occupancy. By empirical study, in the rapid development of Jiaxing economy at the same time, ecological deficit has happened in the regions of Jiaxing, total deficit is 3.15 times of the urban area. It shows that industrial structure adjusting of Jiaxing is in a very stressful situation. From ecological deficit proportion of five counties and two districts in Jiaxing to see, Pinghu constitutes 37.63% and Haiyan constitutes 24.65%，the sum up of two counties (city) is to 62.28%. They are the priority counties of the industry structure adjustment.

Water Resources Research in Henan Province Based on Ecological Footprint Model

2012 ◽  
Vol 599 ◽  
pp. 744-747
Author(s):  
Xu Luo ◽  
Wei Duo Zhou
Keyword(s):  
Water Pollution ◽  
Water Resources ◽  
Water Consumption ◽  
Ecological Footprint ◽  
Henan Province ◽  
Footprint Model ◽  
Aquatic Products ◽  
Ecological Deficit ◽  
Dilution Water ◽  
Local Water

Based on ecological footprint theory , analyzing the problems of the consumption of aquatic products, the consumption of freshwater resources , water pollution dilution water consumption and the local water resources and sewage recycling amount etc. and calculating 2005-2010 ecological footprint and ecological bearing capacity of water resources in Henan Province. The result shows that water ecological deficit of Henan Province is still higher , the utilization of water resources located in an unsustainable stage .

Calculation and Analysis of Ecological Footprint on Cities of the Poyang Lake Ecological Economic Zone

2011 ◽  
Vol 368-373 ◽  
pp. 3184-3191
Author(s):  
Yun Xiu Sai ◽  
Jian Guo Cai ◽  
Hui Ming Li ◽  
Wei Ran Wang
Keyword(s):  
Sustainable Development ◽  
Bearing Capacity ◽  
Ecological Footprint ◽  
Poyang Lake ◽  
Ecological Efficiency ◽  
Ecological Economic ◽  
The Core ◽  
Ecological Deficit ◽  
Economic Zone ◽  
Statistical Yearbook

Based on statistical yearbook data in Nanchang city, this paper applies a calculation mode of ecological footprint to conduct calculation and analysis on the ecological footprint, as well as bearing capacity of Nanchang city-the core city of Poyang Lake Ecological Economic Zone from the year 2005 to 2009. According to some research, the average ecological footprint of Nanchang city in recent five years is 1.974879hm2/cap, the average ecological bearing capacity is 0.224917hm2/cap, and the average ecological deficit is 1.749962hm2/cap.Regional eco-environment is in the condition of unsustainable development. This paper also makes an analysis on the intensity of ecological footprint and ecological efficiency in Nanchang city. By taking these as a foundation, this paper puts forward strategies and suggestion to reduce ecological deficit of Poyang Lake Ecological Economic Zone and achieve sustainable development in this zone.

scholarly journals SPATIO-TEMPORAL SIMULATION AND ANALYSIS OF REGIONAL ECOLOGICAL SECURITY BASED ON LSTM

2017 ◽  
Vol IV-4/W2 ◽  
pp. 153-160 ◽  
Author(s):  
C. Gong ◽  
L. Qi ◽  
L. Heming ◽  
H. Karimian ◽  
M. Yuqin
Keyword(s):  
Deep Learning ◽  
High Speed ◽  
Vegetation Index ◽  
Normalized Difference Vegetation Index ◽  
Net Primary Productivity ◽  
Learning Ability ◽  
Scientific Management ◽  
Positive Trend ◽  
Ecological Deficit ◽  
Spatio Temporal

Region is a complicated system, where human, nature and society interact and influence. Quantitative modeling and simulation of ecology in the region are the key to realize the strategy of regional sustainable development. Traditional machine learning methods have made some achievements in the modeling of regional ecosystems, but it is difficult to determine the learning characteristics and to realize spatio-temporal simulation. Deep learning does not need prior identification of training characteristics, have excellent feature learning ability, can improve the accuracy of model prediction, so the use of deep learning model has a significant advantage. Therefore, we use net primary productivity (NPP), atmospheric optical depth (AOD), moderate-resolution imaging spectrometer (MODIS), Normalized Difference Vegetation Index (NDVI), landcover and population data, and use LSTM to do spatio-temporal simulation. We conduct spatial analysis and driving force analysis. The conclusions are as follows: the ecological deficit of northwestern Henan and urban communities such as Zhengzhou is higher. The reason of former lies in the weak land productivity of the Loess Plateau, the irrational crop cultivation mode. The latter lies in the high consumption of resources in the large urban agglomeration; The positive trend of Henan ecological development from 2013 is mainly due to the effective environmental protection policy in the 12th five-year plan; The main driver of the sustained ecological deficit growth of Henan in 2004-2013 is high-speed urbanization, increasing population and goods consumption. This article provides relevant basic scientific support and reference for the regional ecological scientific management and construction.

Ecological footprint of the Chinese population, environment and development

2004 ◽  
Vol 31 (1) ◽  
pp. 63-68 ◽  
Author(s):  
CHEN DONGJING ◽  
CHENG GUODONG ◽  
XU ZHONGMIN ◽  
ZHANG ZHIQIANG
Keyword(s):  
Resource Use ◽  
Chinese Population ◽  
Ecological Footprint ◽  
Forest Land ◽  
Fossil Energy ◽  
The Road ◽  
Ecological Deficit ◽  
Expenditure Elasticity ◽  
Environment And Development ◽  
On The Road

The ecological footprint (EF) can be used to investigate relationships between population, environment and development. In China, the per caput EF is estimated to have increased by 83% between 1981 (0.82 ha caput-1) and 2000 (1.49 ha caput-1), to about 1.31 times China's area (including its oceanic territory), while the ecological deficit increased from 0.066 ha caput-1 in 1981 to 0.735 ha caput-1 in 2000. Over this period, the proportions of six sub-footprint types have changed considerably: the percentages of arable, fossil energy and forest land decreased from 44.8%, 41.5% and 4.1% to 27.1%, 40.1% and 3.0%, respectively; while sea, pasture and built-up land percentages increased from 3.8%, 4.4% and 1.3% to 15.2%, 12.4% and 2.2%, respectively. The production coefficients of gross domestic product (GDP) to the EF of China increased from 584 RMB ha-1 in 1981, to 1522 RMB ha-1 in 2000, reflecting an increasing efficiency in resource use. The EF correlates positively with disposable income and expenditure, which can be described by income and expenditure elasticity. Some measures are suggested to decrease the Chinese ecological deficit on the road to sustainability.

scholarly journals Evaluation and Prediction of the Ecological Footprint and Ecological Carrying Capacity for Yangtze River Urban Agglomeration Based on the Grey Model

2018 ◽  
Vol 15 (11) ◽  
pp. 2543 ◽  
Author(s):  
Benhong Peng ◽  
Yuanyuan Wang ◽  
Ehsan Elahi ◽  
Guo Wei
Keyword(s):  
Carrying Capacity ◽  
Yangtze River ◽  
Ecological Footprint ◽  
Urban Agglomeration ◽  
Grey Model ◽  
The Yangtze River ◽  
The Sustainable Development ◽  
Ecological Carrying Capacity ◽  
Ecological Deficit ◽  
Per Capita

The conflict between economic development and environmental protection has become increasingly prominent in the urbanization process of the Yangtze River urban agglomeration, the most economically developed region in Jiangsu Province in China. In order to investigate the sustainable development status, and thus provide decision support for the sustainable development of this region, the ecological footprint model was utilized to evaluate and analyze the ecological footprint per capita, the ecological carrying capacity per capita, and the ecological deficit per capita for the period from 2013 to 2017. Furthermore, the Grey model is employed to predict the development trend of the ecological footprint for 2018 to 2022. The evaluation results show that the ecological footprint per capita has been increasing year by year since 2013, reaching a peak of 2.3897 hm2 in 2015 before declining again. In the same period, the available ecological carrying capacity per capita and the ecological footprint per capita basically developed in the same direction, resulting in an ecological deficit per capita and gradually increasing from 2013 to a peak of 2.0303 hm2 in 2015 before declining. It is also found that the change of ecological carrying capacity is not substantial, and the change of the ecological deficit is mainly caused by a huge change of the ecological footprint. The forecast results show that the ecological deficit per capita will reach 1.1713 hm2 in 2018, which will be another deficit peak after 2015. However, in the later period until 2022, the ecological deficit per capita will begin to decline year by year. These results can provide effective inspirations for reducing the ecological deficit of the Yangtze River urban agglomeration, thus promoting the coordinated development of the economy and environment in this area.

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