This paper uses the ecological footprint model to make comparison of the eco-efficiency of arable land ecological footprint in different years in Hubei Province, and makes comparison of that in Hubei and some countrie...This paper uses the ecological footprint model to make comparison of the eco-efficiency of arable land ecological footprint in different years in Hubei Province, and makes comparison of that in Hubei and some countries. The results indicate that, since 1965, the eco-efficiency of arable land ecological footprint in Hubei has been improved year by year. However, the efficiency of arable land ecological footprint, compared with some other areas in the world, is much lower. In 1965, average eco-efficiency of world arable land ecological footprint is 3 421 US dollar/hm^2 while that of Hubei Province is 134 US dollar/hm^2, about 1/26 of the world's average level. The eco-efficiency of arable land ecological footprint for 2003 in Hubei Province, however, has become about 1/9 of the world's average level for the same year. Finally the author puts forward the ways to raise the eco-efficiency of arable land ecological footprint.展开更多
The life-cycle eco-footprint computing model of building projects was established in the study. It contained the eco-footprint in 4 aspects during the lifecycle: consumed energy, consumed resource, emitted carbon diox...The life-cycle eco-footprint computing model of building projects was established in the study. It contained the eco-footprint in 4 aspects during the lifecycle: consumed energy, consumed resource, emitted carbon dioxide and produced solid waste. Space efficiency of life-cycle eco-footprint index was proposed and used to assess the eco-sustainability of building projects. Then, the eco-footprint and ecosustainability of 4 different structure types(brick-concrete bungalow, multi-storey brick-concrete, multistorey steel-concrete, high-rise steel-concrete) for residential building in severely cold areas were investigated. The results indicated that: 1) Compared with bungalow, high-rise building with relatively smaller shape coefficient and window-wall ratio had higher eco-sustainability; 2) For the buildings with the same storey, shape coefficient and window-wall ratio, steel-concrete building had higher eco-sustainability than brickconcrete building; 3) High-rise steel-concrete structure had the greatest eco-sustainability during the 4 different bui lding structures, so it was more suitable to promote.展开更多
This paper carries out calculation and analysis of various kinds of ecological footprint and 104 yuan GDP in Hefei City during the period 2005-2010,and the results show that in recent years,the industrial economic dev...This paper carries out calculation and analysis of various kinds of ecological footprint and 104 yuan GDP in Hefei City during the period 2005-2010,and the results show that in recent years,the industrial economic development in Hefei City is accelerated,people's living standards are improved,and the momentum of urbanization is gathered.At the same time,as the resource utilization rate is increased year by year,the city's economic development has already begun to be resource-intensive.展开更多
Objective The human socio-economic development depends on the planet's natural capital. Humans have had a considerable impact on the earth, such as resources depression and environment deterioration. The objective of...Objective The human socio-economic development depends on the planet's natural capital. Humans have had a considerable impact on the earth, such as resources depression and environment deterioration. The objective of this study was to assess the impact of socio-economic development on the ecological environment of Wuhan, Hubei Province, China, during the general planning period 2006-2020. Methods Support vector machine (SVM) model was constructed to simulate the process of eco-economic system of Wuhan. Socio-economic factors of urban total ecological footprint (TEF) were selected by partial least squares (PLS) and leave-one-out cross validation (LOOCV). Historical data of socio-economic factors as inputs, and corresponding historical data of TEF as target outputs, were presented to identify and validate the SVM model. When predicted input data after 2005 were presented to trained model as generalization sets, TEFs of 2005, 2006,…, till 2020 were simulated as output in succession. Results Up to 2020, the district would have suffered an accumulative TEF of 28.374 million gha, which was over 1.5 times that of 2004 and nearly 3 times that of 1988. The per capita EF would be up to 3.019 gha in 2020. Contusions The simulation indicated that although the increase rate of GDP would be restricted in a lower level during the general planning period, urban ecological environment burden could not respond to the socio-economic circumstances promptly. SVM provides tools for dynamic assessment of regional eco-environment. However, there still exist limitations and disadvantages in the model. We believe that the next logical step in deriving better dynamic models of ecosystem is to integrate SVM and other algorithms or technologies.展开更多
In order to improve the agricultural eco-efficiency and promote the sustainable development of agriculture in Henan Province, China, based on the footprint theory, the super-efficiency SBM model </span></span...In order to improve the agricultural eco-efficiency and promote the sustainable development of agriculture in Henan Province, China, based on the footprint theory, the super-efficiency SBM model </span></span><span><span><span style="font-family:"">is</span></span></span><span><span><span style="font-family:""> used to scientifically calculate and analyze the agricultural eco-efficiency in Henan Province. On this basis, the influencing factors of agricultural eco-efficiency in Henan Province are quantitatively analyzed by using the grey incidence analysis model. The <span>results s</span><span>how that unilaterally considering one of grey water footprint</span></span></span></span><span><span><span style="font-family:"">s</span></span></span><span><span><span style="font-family:""> and carbon footprint</span></span></span><span><span><span style="font-family:"">s</span></span></span><span><span><span style="font-family:""> will overestimate or underestimate the agricultural eco-efficiency of Henan Province in different degrees in different time periods, and the agricultural eco-efficiency obtained by comprehensively considering grey water footprint and carbon footprint (GWCAEE) is more in line with the reality of agricultural development in Henan Province. In 2000-2004, GWCAEE in Henan Province was better. During 2005-2014, GWCAEE in Henan Province showed a fluctuating decline and continued to be in an inefficient state. From 2015</span></span></span><span><span><span style="font-family:""> to 2019, GWCAEE of Henan Province gradually increased, and it became effective in 2019. In recent years, GWCAEE has developed well. Through the grey incidence analysis between 12 influencing factors including endogenous factors and exogenous factors and GWCAEE, it is found that the six leading factors of GWCAEE in Henan Province are agricultural structure, financial input for agriculture, number of agricultural employees, crop sown area, consumption of chemical pesticide, consumption of agricultural diesel oil. According to the above research conclusions, suggestions for improving agricultural eco-efficiency in Henan Province are put forward.展开更多
In order to better understand the development level of eco-efficiency in Southeast Guizhou's experimental area of eco-civilization construction,we conduct dynamic comparison research of its eco-efficiency and the ...In order to better understand the development level of eco-efficiency in Southeast Guizhou's experimental area of eco-civilization construction,we conduct dynamic comparison research of its eco-efficiency and the national eco-efficiency,using single ratio method based on the ecological footprint model,to grasp the gap between its eco-efficiency and the national eco-efficiency,so that we can take appropriate countermeasures to improve eco-efficiency. The results show that in the period 1978-2010,the eco-efficiency in Southeast Guizhou's experimental area of eco-civilization construction was always lower than the national eco-efficiency; the long-time average annual value of its eco-efficiency was less than one half of that of the national eco-efficiency,with the absolute gap of 1 630. 095 yuan /hm 2 ,and the gap tended to widen year by year in the period 1978-2002 ( the gap increased from 276. 551 yuan /hm 2 in 1978 to peak of 3 227. 713 yuan /hm 2 in 2002,with an average annual increase of 118. 047 yuan /hm 2 ,and especially after 1992,the gap was particularly evident,with an average annual increase of 194.771 yuan/hm 2 ) ,but from 2003,the gap between the two tended to decrease. Based on the prediction results of grey system,in the period 2011-2025,the gap between the eco-efficiency in Southeast Guizhou's experimental area of eco-civilization construction and the national eco-efficiency will gradually narrow,and from 2019, the eco-efficiency in Southeast Guizhou's experimental area of eco-civilization construction will be higher than the national eco-efficiency.展开更多
文摘This paper uses the ecological footprint model to make comparison of the eco-efficiency of arable land ecological footprint in different years in Hubei Province, and makes comparison of that in Hubei and some countries. The results indicate that, since 1965, the eco-efficiency of arable land ecological footprint in Hubei has been improved year by year. However, the efficiency of arable land ecological footprint, compared with some other areas in the world, is much lower. In 1965, average eco-efficiency of world arable land ecological footprint is 3 421 US dollar/hm^2 while that of Hubei Province is 134 US dollar/hm^2, about 1/26 of the world's average level. The eco-efficiency of arable land ecological footprint for 2003 in Hubei Province, however, has become about 1/9 of the world's average level for the same year. Finally the author puts forward the ways to raise the eco-efficiency of arable land ecological footprint.
文摘The life-cycle eco-footprint computing model of building projects was established in the study. It contained the eco-footprint in 4 aspects during the lifecycle: consumed energy, consumed resource, emitted carbon dioxide and produced solid waste. Space efficiency of life-cycle eco-footprint index was proposed and used to assess the eco-sustainability of building projects. Then, the eco-footprint and ecosustainability of 4 different structure types(brick-concrete bungalow, multi-storey brick-concrete, multistorey steel-concrete, high-rise steel-concrete) for residential building in severely cold areas were investigated. The results indicated that: 1) Compared with bungalow, high-rise building with relatively smaller shape coefficient and window-wall ratio had higher eco-sustainability; 2) For the buildings with the same storey, shape coefficient and window-wall ratio, steel-concrete building had higher eco-sustainability than brickconcrete building; 3) High-rise steel-concrete structure had the greatest eco-sustainability during the 4 different bui lding structures, so it was more suitable to promote.
基金Supported by Anhui Young Talents Fund(2011SQRW188)Anhui Provincial Natural Science Research Project(KJ2012B029)
文摘This paper carries out calculation and analysis of various kinds of ecological footprint and 104 yuan GDP in Hefei City during the period 2005-2010,and the results show that in recent years,the industrial economic development in Hefei City is accelerated,people's living standards are improved,and the momentum of urbanization is gathered.At the same time,as the resource utilization rate is increased year by year,the city's economic development has already begun to be resource-intensive.
基金the key project of the Ministry of Education of China (No.104250)the key project of the Natural Science Foundation of Hubei Province (No. 2006ABD005)
文摘Objective The human socio-economic development depends on the planet's natural capital. Humans have had a considerable impact on the earth, such as resources depression and environment deterioration. The objective of this study was to assess the impact of socio-economic development on the ecological environment of Wuhan, Hubei Province, China, during the general planning period 2006-2020. Methods Support vector machine (SVM) model was constructed to simulate the process of eco-economic system of Wuhan. Socio-economic factors of urban total ecological footprint (TEF) were selected by partial least squares (PLS) and leave-one-out cross validation (LOOCV). Historical data of socio-economic factors as inputs, and corresponding historical data of TEF as target outputs, were presented to identify and validate the SVM model. When predicted input data after 2005 were presented to trained model as generalization sets, TEFs of 2005, 2006,…, till 2020 were simulated as output in succession. Results Up to 2020, the district would have suffered an accumulative TEF of 28.374 million gha, which was over 1.5 times that of 2004 and nearly 3 times that of 1988. The per capita EF would be up to 3.019 gha in 2020. Contusions The simulation indicated that although the increase rate of GDP would be restricted in a lower level during the general planning period, urban ecological environment burden could not respond to the socio-economic circumstances promptly. SVM provides tools for dynamic assessment of regional eco-environment. However, there still exist limitations and disadvantages in the model. We believe that the next logical step in deriving better dynamic models of ecosystem is to integrate SVM and other algorithms or technologies.
文摘In order to improve the agricultural eco-efficiency and promote the sustainable development of agriculture in Henan Province, China, based on the footprint theory, the super-efficiency SBM model </span></span><span><span><span style="font-family:"">is</span></span></span><span><span><span style="font-family:""> used to scientifically calculate and analyze the agricultural eco-efficiency in Henan Province. On this basis, the influencing factors of agricultural eco-efficiency in Henan Province are quantitatively analyzed by using the grey incidence analysis model. The <span>results s</span><span>how that unilaterally considering one of grey water footprint</span></span></span></span><span><span><span style="font-family:"">s</span></span></span><span><span><span style="font-family:""> and carbon footprint</span></span></span><span><span><span style="font-family:"">s</span></span></span><span><span><span style="font-family:""> will overestimate or underestimate the agricultural eco-efficiency of Henan Province in different degrees in different time periods, and the agricultural eco-efficiency obtained by comprehensively considering grey water footprint and carbon footprint (GWCAEE) is more in line with the reality of agricultural development in Henan Province. In 2000-2004, GWCAEE in Henan Province was better. During 2005-2014, GWCAEE in Henan Province showed a fluctuating decline and continued to be in an inefficient state. From 2015</span></span></span><span><span><span style="font-family:""> to 2019, GWCAEE of Henan Province gradually increased, and it became effective in 2019. In recent years, GWCAEE has developed well. Through the grey incidence analysis between 12 influencing factors including endogenous factors and exogenous factors and GWCAEE, it is found that the six leading factors of GWCAEE in Henan Province are agricultural structure, financial input for agriculture, number of agricultural employees, crop sown area, consumption of chemical pesticide, consumption of agricultural diesel oil. According to the above research conclusions, suggestions for improving agricultural eco-efficiency in Henan Province are put forward.
基金Supported by 2011 Planning Project of Kaili University ( Z1008)
文摘In order to better understand the development level of eco-efficiency in Southeast Guizhou's experimental area of eco-civilization construction,we conduct dynamic comparison research of its eco-efficiency and the national eco-efficiency,using single ratio method based on the ecological footprint model,to grasp the gap between its eco-efficiency and the national eco-efficiency,so that we can take appropriate countermeasures to improve eco-efficiency. The results show that in the period 1978-2010,the eco-efficiency in Southeast Guizhou's experimental area of eco-civilization construction was always lower than the national eco-efficiency; the long-time average annual value of its eco-efficiency was less than one half of that of the national eco-efficiency,with the absolute gap of 1 630. 095 yuan /hm 2 ,and the gap tended to widen year by year in the period 1978-2002 ( the gap increased from 276. 551 yuan /hm 2 in 1978 to peak of 3 227. 713 yuan /hm 2 in 2002,with an average annual increase of 118. 047 yuan /hm 2 ,and especially after 1992,the gap was particularly evident,with an average annual increase of 194.771 yuan/hm 2 ) ,but from 2003,the gap between the two tended to decrease. Based on the prediction results of grey system,in the period 2011-2025,the gap between the eco-efficiency in Southeast Guizhou's experimental area of eco-civilization construction and the national eco-efficiency will gradually narrow,and from 2019, the eco-efficiency in Southeast Guizhou's experimental area of eco-civilization construction will be higher than the national eco-efficiency.