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Decoupling Relationship Between Cultivated Land Occupation by Construction and Economic Growth in China During 1998-2007 被引量:3
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作者 Yang Ke Chen Baiming Tang Xiumei 《Chinese Journal of Population,Resources and Environment》 2010年第1期38-46,共9页
With the rapid development of economy,the conversion of cultivated land into nonagricultural land occurs more frequently and makes cultivated land sparser.This article based on the decoupling theory takes the situatio... With the rapid development of economy,the conversion of cultivated land into nonagricultural land occurs more frequently and makes cultivated land sparser.This article based on the decoupling theory takes the situations of cultivated land occupation by construction and economic growth in China from 1998 to 2007 as an example to evaluate and analyze the decoupling.The conclusions are drawn as follows.First,the article applies IU curve and gross method.The decoupling status by gross method,in contrast to that by IU curve,can express the pressure from cultivated land occupation better and is similar to the decoupling status based on the model of decoupling in this article.Second,in most provinces of China,the relationship between the cultivated land occupation by construction and economic growth has transformed from expansive negative decoupling to strong decoupling.In general,the transformation was firstly from economically advanced eastern municipalities under the central government directly,then to economically advanced eastern coastal provinces,and lastly to central,western and northeastern regions.Third,the decoupling status was relative to contemporaneous policies and laws on cultivated land protection and regional development planning.Their effect is obvious and positive. 展开更多
关键词 cultivated land occupation economic growth DECOUPLING
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The contribution of cultivated land occupation by construction to China's economic growth 被引量:6
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作者 YANG Ke CHEN Baiming +1 位作者 DU Hongliang TANG Xiumei 《Journal of Geographical Sciences》 SCIE CSCD 2011年第5期897-908,共12页
The paper applies Cobb-Douglas Production Function and Solow-Swan Model to constructing the calculation model of the contribution rate of cultivated land occupation by construction (CLOC) to China's economic growth... The paper applies Cobb-Douglas Production Function and Solow-Swan Model to constructing the calculation model of the contribution rate of cultivated land occupation by construction (CLOC) to China's economic growth,and analyzes the contribution change of CLOC to China's economic growth qualitatively and quantitatively.The main conclusions are as follows:1) From 1989 to 2007,the contribution rates of capital,labor,and CLOC to China's economic growth were 45.76%,8.47%,and 6.19% respectively.2) From the period 1989-1996 to the period 1997-2007 the contribution rate of CLOC to China's economic growth increased from 5.40% to 5.87%.The degree of contribution was enhanced significantly.3) The contribution of CLOC to China's economic growth had a spatial distribution characteristic that the contribution rate of eastern coastal regions was the highest,that of central regions came second,and that of western regions the lowest.The paper indicates that in order to enhance the contribution of CLOC to China's economic growth,some relevant economic and administrative measures might be taken,and land might be used intensively and economically to increase land economic density.The cost of promoting gross domestic product (GDP) growth might be reduced as much as possible to achieve higher GDP growth and lower land resource consumption. 展开更多
关键词 cultivated land occupation by construction economic growth CONTRIBUTION production function
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Men in Nonagricultural Occupations and Women on the Land" and the Development of Women
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作者 孟宪范 《Social Sciences in China》 1996年第1期78-82,192,共6页
关键词 and the Development of Women Men in Nonagricultural occupations and Women on the land
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The valuation of China’s environmental degradation from 2004 to 2017 被引量:3
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作者 Guoxia Ma Fei Peng +14 位作者 Weishan Yang Gang Yan Shuting Gao Xiafei Zhou Ji Qi Dong Cao Yue Zhao Wen Pan Hongqiang Jiang Hong Jing Guangxia Dong Minxue Gao Jingbo Zhou Fang Yu Jinnan Wang 《Environmental Science and Ecotechnology》 2020年第1期93-102,共10页
This paper aims to evaluate the cost of environmental degradation by adopting the conventional environmental economic methodology in China from 2004 to 2017 and summarize the change in both the causes and costs of Ch... This paper aims to evaluate the cost of environmental degradation by adopting the conventional environmental economic methodology in China from 2004 to 2017 and summarize the change in both the causes and costs of China’s environmental degradation.Results from this study revealed the following:i.The environmental degradation cost in China increased from 511 billion yuan to 1,892 billion yuan from 2004 to 2017,and its share in the GDP decreased from 3.05% to 2.23%;ii.The environmental degradation cost growth rate was lower than the GDP growth rate.The environmental degradation cost growth rate decreased sharply,by dropping from 10% in 2014 to 2% in 2017.The environmental benefits of industrial transformation have emerged;iii.The provinces of Shandong,Hebei,Jiangsu,Henan,and Guangdong had the highest environmental degradation costs.The annual average growth rate of the environmental degradation costs in Jiangsu,Guangdong,and Zhejiang were lower than their growth rate of the GDP respectively;iv.Consideration of environmental degradation cost in decision-making could contribute to the high-quality development of China. 展开更多
关键词 Environmental degradation cost Water pollution degradation cost Air pollution degradation cost Solid waste land occupation cost Green GDP
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Rainfall variability in the Brazilian northeast biomes and their interactions with meteorological systems and ENSO via CHELSA product 被引量:1
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作者 Washington Luiz Félix Correia Filho JoséFrancisco De Oliveira-Júnior +8 位作者 Dimas De Barros Santiago Paulo Miguel De Bodas Terassi Paulo Eduardo Teodoro Givanildo De Gois Claudio JoséCavalcante Blanco Pedro Henrique De Almeida Souza Micejane da Silva Costa Heliofábio Barros Gomes Paulo JoséDos Santos 《Big Earth Data》 EI 2019年第4期315-337,共23页
Brazilian biomes are home to a significant portion of the world’s biodiversity,with a total of 14%of existing species and still concentrate 20%of the world’s water resources.However,changes in biomes have a direct i... Brazilian biomes are home to a significant portion of the world’s biodiversity,with a total of 14%of existing species and still concentrate 20%of the world’s water resources.However,changes in biomes have a direct impact on rainfall patterns and water recycling.Based on this,the objective was to evaluate the variability of rainfall in the four existing biomes in the Northeast Brazil(NEB)and their interaction with the ENSO climate variability mode and regional scale meteorological systems via CHELSA product.For this,monthly rainfall data were used from 1979 to 2013,with a spatial resolution of 1 km×1 km of the CHELSA product,and seasonal and annual rainfall patterns were extracted via boxplot.It was found that the rainy season in the Amazon,Caatinga and Cerrado biomes occurred between January and April,with varying intensities,except for the Atlantic Forest.Such seasonality patterns are associated with the NEB meteorological systems,with emphasis on ITCZ(all Biomes),UTCV(Amazon,Caatinga and Cerrado),Frontal Systems(extreme south of Caatinga,Cerrado and Atlantic Forest)and EWD/TWD in the(Atlantic Forest).In the inter-annual scale,the remarkable influence of ENSO was verified,mainly in the years 1983,1985,1989,1993,1998,2009 and 2012.It is noteworthy that 1985 was the wettest year of the period,with a surplus in all biomes,while the driest year differs between the Amazon(1983),Atlantic Forest and Caatinga(1993)and Cerrado(2012)biomes.The study via orbital product in NEB showed that anthropogenic processes and natural variability interfere with the forms of rain interception in the biomes and hence in rainfall patterns and water recycling in NEB. 展开更多
关键词 Phytophysiognomy RAINFALL inter-annual variability water recycling climate change land use and occupation
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