scholarly journals Spatiotemporal Change and Coordinated Development Analysis of “Population-Society-Economy-Resource-Ecology-Environment” in the Jing-Jin-Ji Urban Agglomeration from 2000 to 2015

2021 ◽  
Vol 13 (7) ◽  
pp. 4075
Author(s):  
Jianwan Ji ◽  
Shixin Wang ◽  
Yi Zhou ◽  
Wenliang Liu ◽  
Litao Wang
Keyword(s):  
Remote Sensing ◽  
Sustainable Development ◽  
Statistical Data ◽  
Urban Agglomeration ◽  
Coordinated Development ◽  
Increasing Trend ◽  
Regional Sustainable Development ◽  
Development Analysis ◽  
Development Gap ◽  
Coordinated Development Degree

Measuring the regionally coordinated development degree quantitively at an urban agglomeration scale is vital for regional sustainable development. To date, existing studies mainly utilized statistical data to analyze coordinated development degrees between different subsystems, which failed to measure the development gap of subsystems between cities. This study integrated remote sensing and statistical data to evaluate the development degree from six subsystems. The coordinated index (CI) and coordinated development index (CDI) were then promoted to assess the coordinated degree and coordinated development degree. The main findings were: (1) The coordinated development degree of Jing-Jin-Ji (JJJ) had increased from 0.4616 in 2000 to 0.6099 in 2015, with the corresponding grade improvement from “moderate” to “good”; (2) JJJ and six subsystems’ development degree showed an increasing trend. JJJ’s whole development degree had improved from 0.34 to 0.52, and the grade had changed from “fair” to “moderate”; (3) The coordinated degree of JJJ displayed a “V” shape. However, the coordinated degree was lower in 2015 than in 2000.

scholarly journals Eco-Economic Environment Coupling Based on Urban RSEI Theory

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Yitong Lu ◽  
Minghang Li
Keyword(s):  
Remote Sensing ◽  
Sustainable Development ◽  
Remote Sensing Data ◽  
Urban Agglomeration ◽  
Ecological Environment ◽  
Coordinated Development ◽  
Research Results ◽  
Sensing Data ◽  
Ecological Economic ◽  
Environment Quality

Introduction. Ecological environment is the foundation of social and economic development, and the coordinated development of social economy and ecological environment is one of the hotspots in urban sustainable development research. Traditional ecological economic measurement methods usually have problems such as difficulty in data acquisition and difficulty in pasteurization. In recent years, with the rise of global remote sensing technology, remote sensing has also been used to observe human social and economic activities. Remote sensing data have been created for the limitations of traditional statistical data with the advantages of being independent in the field of ecological and economic measurement. Methodology. This paper uses luminous remote sensing technique to obtain the visible-near-infrared electromagnetic wave information emitted from the surface at night under cloudless conditions and MODIS data combined with urban RSEI theory to quantitatively invert the ecological environment quality of the study area in 2019 based on a remote sensing perspective, taking a certain urban agglomeration in China as the research area. And it is continuous in time and space. Therefore, the coordination degree of remote sensing data should be fully explored in quantitative research. For proper analysis, regression was used. Research Content and Results. 2019 MODIS data were used to retrieve the six vegetation-related ecological environment factors in the study area and combine the urban RSEI theory to construct the remote sensing ecological comprehensive index of the study area, and the vegetation ecological environment quality and spatial agglomeration characteristics were evaluated. The results showed that vegetation coverage, leaf area index, total primary productivity, and surface moisture make positive contributions to the ecosystem of the study area. Based on the theoretical basis of coupling coordination theory, ecological economic theory, and sustainable development, we measured the degree of coordinated development between the social economic system and the ecological environment system in the study area from 2018 to the future period and combined the research results with the study area. The actual situation explores the practice path of benign coupling of the ecological economy. Conclusion. This paper is completely based on the research ideas of remote sensing data to measure the socioeconomic level and ecological environment quality and proves that remote sensing data and urban RESI theory are efficient and reliable new tools for the coordinated development of ecological economics. The research results can provide a development plan for urban agglomeration.

Quantitative Analysis in the Coordinated Development of Human Settlements Environment and Economy for Guizhou

2014 ◽  
Vol 587-589 ◽  
pp. 11-15
Author(s):  
Lu Li ◽  
Xian Gui Xue
Keyword(s):  
Principal Component Analysis ◽  
Sustainable Development ◽  
Principal Component ◽  
Fuzzy Mathematics ◽  
Objective Method ◽  
Coordinated Development ◽  
Human Settlements ◽  
Regional Sustainable Development ◽  
Mathematics Method ◽  
Coordination Degree

This paper used the objective method by principal component analysis and fuzzy mathematics method to assess the coordination degree of human settlements environment and economy since 2005 in Guizhou.Combined with the reality to propose the main countermeasure to realize the regional sustainable development.

scholarly journals Environmental degradation in the transnational area of Changbai Mountain based on multiple remote sensing data

2021 ◽  
Author(s):  
Yaohang Sun ◽  
Ying Nan ◽  
Da Zhang ◽  
Xuegang Gan ◽  
Lichen Piao
Keyword(s):  
Remote Sensing ◽  
Sustainable Development ◽  
Environmental Degradation ◽  
Land Surface ◽  
Vegetation Index ◽  
Environmental Changes ◽  
Remote Sensing Data ◽  
Changbai Mountain ◽  
Sensing Data ◽  
Regional Sustainable Development

Rapidly and effectively assessing environmental degradation is essential for promoting regional sustainable development in the transnational area of Changbai Mountain (TACM). However, comprehensively understanding environmental degradation in the TACM is still inadequate. In this study, we developed an environmental degradation index (EDI) by using multiple remote sensing data, including enhanced vegetation index (EVI), gross primary productivity (GPP), land surface temperature (LST), and MODIS surface reflectance products. We then evaluated its performance comparing with the remote sensing ecological index (RSEI), and assessed the environmental degradation across the whole TACM, in the subregions of China, the Democratic People’s Republic of Korea (DPRK), and Russia during 2000-2019. The results indicated that the EDI had the advantages of simplicity and rapidity, which can assess the environmental degradation in the TACM across long-time scales and large spatial extent. The TACM experienced a downward trend of environmental changes from 2000 to 2019. Degraded environment areas (49,329.50 km2) accounted for 30.09% of the entire TACM. The largest area of the degraded environment was on the DPRK’s side (i.e., 25,395.00 km2), which was 5.6 times larger than that on the Russian side and 1.3 times larger than that on the Chinese side. Hotspot areas that experienced significant environmental degradation just covered 17.69% of the land area of the TACM, the area of environmental degradation in them accounted for 33.89% of the total degraded environment across the whole TACM. We suggest that international cooperation policies and measures ought to be enacted to promote regional sustainable development.

scholarly journals Sustainable Transport Indicators in the Context of Introducing of Electric Passenger Cars

2020 ◽  
Vol 14 (3) ◽  
pp. 318-324
Author(s):  
Stevan Kjosevski ◽  
Atanas Kochov ◽  
Darko Danev ◽  
Aleksandar Kostikj
Keyword(s):  
Decision Making ◽  
Sustainable Development ◽  
Literature Review ◽  
Sustainable Transport ◽  
Ahp Method ◽  
Passenger Cars ◽  
Balkan Countries ◽  
Scientific Approach ◽  
Development Analysis

Sustainable development and sustainable transport are becoming of higher and higher importance. A scientific approach to sustainable development analysis means, first of all, identification of relevant indicators. Based on literature review and regional professionals’ view, a total of 90 indicators have been chosen. They have been structured in five hierarchic levels. A total of five personal transport means alternatives have been analyzed in the research. The AHP method of analysis has been employed in which 75 professionals from the Western Balkan countries have filled appropriate questionnaire. The research presents their opinion about the capacity of each of the alternatives to contribute to the sustainable transport in the region, but also puts a light on perception of the professionals on importance of chosen indicators. The results of this research could be used for further research and could also help to decision making levels regarding sustainable transport and sustainable development.

scholarly journals Exploring the Influences of Innovation Climate and Resource Endowments through Two Types of University–Industry Collaborative Activities on Regional Sustainable Development

2021 ◽  
Vol 13 (14) ◽  
pp. 7559
Author(s):  
Shu Yu ◽  
Shuangshuang Zhang ◽  
Takaya Yuizono
Keyword(s):  
Sustainable Development ◽  
Human Capital ◽  
Economic Development ◽  
Equation Modeling ◽  
Innovation Activities ◽  
Industry Collaboration ◽  
Regional Sustainable Development ◽  
Resource Endowments ◽  
Innovation Climate ◽  
University Industry

“Innovation driven” is the proper term for promoting regional sustainable development under the general goal of national high-quality development. University–industry collaboration (UIC) has become an important innovation resource for regional sustainable development. The study aims to analyze the influencing factors and mediating mechanisms of university–industry collaboration scientific and technological (S&T) and business activities oriented for regional sustainable development in 30 provinces in China (excluding Tibet). Specifically, we used the partial least squares (PLS) structural equation modeling method to test the effects of innovation climate and resource endowments on regional sustainable development through two mode pathways of university–industry collaboration activities. The results show that the innovation climate and resource endowments significantly affect UIC in scientific and technological innovation activities, and then affect the regional economic development and human capital. UIC S&T innovation activities play positive mediating roles in promoting regional sustainable development. In addition, the innovation climate does not significantly impact the business activities of UIC. Therefore, region can get a greater sustainable development through UIC S&T innovation activities than business activities. Much more UIC S&T activities can improve the economic development, human capital, and environmental conditions in the region.

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