Based on the panel data of 41 cities in the Yangtze River Delta from 2007 to 2018,this paper empirically tests the impact of digital economy development on urban ecological efficiency in the Yangtze River Delta.The re...Based on the panel data of 41 cities in the Yangtze River Delta from 2007 to 2018,this paper empirically tests the impact of digital economy development on urban ecological efficiency in the Yangtze River Delta.The results show that the development level of digital economy in Yangtze River Delta urban agglomeration is fluctuating and rising;the development of digital economy has a significant positive role in promoting the improvement of urban ecological efficiency;there is significant regional heterogeneity in the promotion of ecological efficiency by digital economy,especially in central cities.展开更多
Rapid urbanization has emerged as one of the most critical challenges to ecological sustainability in urban areas.In developing countries,the degradation of the ecosystem is more prominent due to the lack of urban pla...Rapid urbanization has emerged as one of the most critical challenges to ecological sustainability in urban areas.In developing countries,the degradation of the ecosystem is more prominent due to the lack of urban planning.Thus,it has become urgent for researchers to identify the ecological efficiency(EE)changes imposed by urban expansion and promote sustainable land use planning.This study aims to develop a comprehensive urban ecological efficiency(UEE)framework in the Kolkata Metropolitan Area(KMA),India,from 2000 to 2020.Principal component analysis(PCA)was used to develop a remote sensing-based UEE index(UEEI)based on five effective ecological parameters(Greenness,Dryness,Heat,Wetness and vegetation health.A single sensitivity parameter was also calculated to determine the role of a single parameter based on which management strategies can be carried out.The findings showed that(i)there were substantial deteriorations of UEE in the last 20 years.In 2000 the areas with good EE were about 65.5%which declined to 53.72%in 2010 and 20.87%in 2020.The areas with good UEE decreased 68%and 61%from 2000 to 2020 and 2010 to 2020,respectively;(ii)the areas with good UEE were 52%in 2000,while 38%in 2010.Most urban centres(Bhadreshwar,Champdani,Srirampur,Bally,Howrah,Kamarhati,Baranagar,Dum Dum,South Dum Dum,Rajarhat,Bidhannagar)located around the Kolkata megacity are characterized by poor and very poor EE(ranges of 0.60-1.00).Thus,spatiotemporal pattern of UEE could assist to clarify the administrative responsibilities as well as obligations.In addition to this,the UEE framework can help for scientific guidance of urban ecosystem protection and restoration through comprehensive spatial landscape planning.展开更多
Agricultural ecologicalization is an important starting point to promote sustainable and high-quality development of agriculture.Based on the panel data of 37 districts(counties)in Chongqing from 2004 to 2019,the DDF-...Agricultural ecologicalization is an important starting point to promote sustainable and high-quality development of agriculture.Based on the panel data of 37 districts(counties)in Chongqing from 2004 to 2019,the DDF-GML index method is used to measure the agricultural ecological efficiency of Chongqing.Based on the analysis of the interaction mechanism of urbanization,agricultural service,and agricultural ecological efficiency,with the help of the PVAR model verifies the relationship between the three.The study found that urbanization,agricultural service,and agricultural ecological efficiency have significant inertia effects and path dependence,especially agricultural ecological efficiency can provide more than 90%of its variance contribution,while urbanization and agricultural ecological efficiency have a significant impact on agricultural ecological efficiency.The influence will become weaker and weaker over time,obeying the law of diminishing margins.Therefore,to promote the development of agricultural ecologicalization,we must rely on the clean,green,and ecological development of agricultural production itself.At the same time,we also need to further improve the urbanization and agricultural service modernization system to maximize the benefits of agriculture.展开更多
Identifying the dynamics of the eco-efficiency of cultivated land use(ECLU)is important to balance food security and environmental protection.The Yangtze River Economic Belt(YREB)is a vital region of national strategi...Identifying the dynamics of the eco-efficiency of cultivated land use(ECLU)is important to balance food security and environmental protection.The Yangtze River Economic Belt(YREB)is a vital region of national strategic development in China.However,the spatio-temporal characteristics and typical patterns of the ECLU in the YREB remain unclear.This study aims to reveal the spatio-temporal characteristics of the ECLU by using the super-efficiency slack-based measure(SBM)and a spatial autocorrelation model.The typical patterns of the ECLU were classified based on a decision tree algorithm.The results indicate that the overall ECLU increased from 0.78 to 0.87 from 2000 to 2019,dropping sharply in 2003 before rising again.Different reaches had similar trends.The local indicators of spatial association(LISA)cluster reflect that the spatial distributions of high-high and low-low agglomeration varied dramatically among these years.The ECLU was divided into three typical patterns considering the restriction of agrochemicals and water resources(RAW),cultivated land and agrochemicals(RCA),as well as technology(RT).Most cities belonged to the low ECLU category in RT pattern.Fully understanding the spatio-temporal characteristics and classification of the ECLU will provide a reference for decision-makers to improve the ECLU in different regions.展开更多
文摘Based on the panel data of 41 cities in the Yangtze River Delta from 2007 to 2018,this paper empirically tests the impact of digital economy development on urban ecological efficiency in the Yangtze River Delta.The results show that the development level of digital economy in Yangtze River Delta urban agglomeration is fluctuating and rising;the development of digital economy has a significant positive role in promoting the improvement of urban ecological efficiency;there is significant regional heterogeneity in the promotion of ecological efficiency by digital economy,especially in central cities.
文摘Rapid urbanization has emerged as one of the most critical challenges to ecological sustainability in urban areas.In developing countries,the degradation of the ecosystem is more prominent due to the lack of urban planning.Thus,it has become urgent for researchers to identify the ecological efficiency(EE)changes imposed by urban expansion and promote sustainable land use planning.This study aims to develop a comprehensive urban ecological efficiency(UEE)framework in the Kolkata Metropolitan Area(KMA),India,from 2000 to 2020.Principal component analysis(PCA)was used to develop a remote sensing-based UEE index(UEEI)based on five effective ecological parameters(Greenness,Dryness,Heat,Wetness and vegetation health.A single sensitivity parameter was also calculated to determine the role of a single parameter based on which management strategies can be carried out.The findings showed that(i)there were substantial deteriorations of UEE in the last 20 years.In 2000 the areas with good EE were about 65.5%which declined to 53.72%in 2010 and 20.87%in 2020.The areas with good UEE decreased 68%and 61%from 2000 to 2020 and 2010 to 2020,respectively;(ii)the areas with good UEE were 52%in 2000,while 38%in 2010.Most urban centres(Bhadreshwar,Champdani,Srirampur,Bally,Howrah,Kamarhati,Baranagar,Dum Dum,South Dum Dum,Rajarhat,Bidhannagar)located around the Kolkata megacity are characterized by poor and very poor EE(ranges of 0.60-1.00).Thus,spatiotemporal pattern of UEE could assist to clarify the administrative responsibilities as well as obligations.In addition to this,the UEE framework can help for scientific guidance of urban ecosystem protection and restoration through comprehensive spatial landscape planning.
文摘Agricultural ecologicalization is an important starting point to promote sustainable and high-quality development of agriculture.Based on the panel data of 37 districts(counties)in Chongqing from 2004 to 2019,the DDF-GML index method is used to measure the agricultural ecological efficiency of Chongqing.Based on the analysis of the interaction mechanism of urbanization,agricultural service,and agricultural ecological efficiency,with the help of the PVAR model verifies the relationship between the three.The study found that urbanization,agricultural service,and agricultural ecological efficiency have significant inertia effects and path dependence,especially agricultural ecological efficiency can provide more than 90%of its variance contribution,while urbanization and agricultural ecological efficiency have a significant impact on agricultural ecological efficiency.The influence will become weaker and weaker over time,obeying the law of diminishing margins.Therefore,to promote the development of agricultural ecologicalization,we must rely on the clean,green,and ecological development of agricultural production itself.At the same time,we also need to further improve the urbanization and agricultural service modernization system to maximize the benefits of agriculture.
基金Post-finance Project for National Social Science,No.19FGLB071Post-finance Project for Philosophy and Social Sciences of the Ministry of Education,No.18JHQ081+1 种基金Outsourcing Project of China Land Surveying and Planning Institute,No.20211811113Youth Foundation of Ministry of Education Humanities and Social Sciences Research,No.21YJC630182。
文摘Identifying the dynamics of the eco-efficiency of cultivated land use(ECLU)is important to balance food security and environmental protection.The Yangtze River Economic Belt(YREB)is a vital region of national strategic development in China.However,the spatio-temporal characteristics and typical patterns of the ECLU in the YREB remain unclear.This study aims to reveal the spatio-temporal characteristics of the ECLU by using the super-efficiency slack-based measure(SBM)and a spatial autocorrelation model.The typical patterns of the ECLU were classified based on a decision tree algorithm.The results indicate that the overall ECLU increased from 0.78 to 0.87 from 2000 to 2019,dropping sharply in 2003 before rising again.Different reaches had similar trends.The local indicators of spatial association(LISA)cluster reflect that the spatial distributions of high-high and low-low agglomeration varied dramatically among these years.The ECLU was divided into three typical patterns considering the restriction of agrochemicals and water resources(RAW),cultivated land and agrochemicals(RCA),as well as technology(RT).Most cities belonged to the low ECLU category in RT pattern.Fully understanding the spatio-temporal characteristics and classification of the ECLU will provide a reference for decision-makers to improve the ECLU in different regions.
