scholarly journals Analysis On The Spatial Differentiation Characteristics of Poverty Risk Caused By Disaster Under The Stress of Geological Disasters – A Case Study of Sichuan Province

2021 ◽  
Author(s):  
Mingshun Xiang ◽  
Linsen Duan ◽  
Fengran Wei ◽  
Jin Yang ◽  
Wenheng Li ◽  
...  
Keyword(s):  
Economic Development ◽  
Regional Development ◽  
Spatial Differentiation ◽  
Sichuan Province ◽  
Disaster Prevention ◽  
Chengdu Plain ◽  
Geological Disasters ◽  
Poverty Risk ◽  
Development Level ◽  
Risk Areas

Abstract Research on the poverty risk caused by disasters in disaster - prone areas is a useful exploration to coordinate social economic development with disaster prevention and reduction, and is of great significance to regional sustainable development. Based on statistical data and spatial data, this paper takes Sichuan Province as the typical research area. Remote sensing and geographic information technology are used to study the poverty risk caused by disasters based on the quantitative evaluation of geological disasters risk and regional development level. the spatial differentiation characteristics of poverty risk caused by disasters are explored on the 1 km × 1 km grid scale. The results indicate that: (1) The overall risk of geological disasters in Sichuan Province is relatively high, with high and relatively high risk areas accounting for more than 40%, low and relatively low risk areas accounting for less than 30%. The risks in Mountain and Ravine Areas are significantly higher than other areas. (2) The regional development level in Sichuan Province is relatively high, but with significant the spatial differences. The development level of high-altitude areas and remote mountainous areas is quite different from that of the Chengdu Plain in the middle Sichuan Province. the problem of uneven development in the east, middle, and west is prominent. (3) The poverty risk caused by disasters is high, and the spatial pattern presents a characteristic of “high in the west and low in the east” with high positive spatial correlation. High - High Cluster Areas are mainly distributed in western and southwestern Sichuan. Low - Low Outlier Areas are mainly distributed in Chengdu Plain and Hilly Areas of Sichuan Basin. High - Low Outlier and Low - High Outlier Areas occupy a relatively small percentage with scattered distribution. This paper provides a reference for the coordinated management of disaster prevention and reduction, as well as social and economic development in underdeveloped areas.

scholarly journals Changes in the Spatial Distribution of the Level and Dynamics of Socio-Economic Development of Rural Areas in Poland

2016 ◽  
Author(s):  
Monika Stanny ◽  
Andrzej Rosner ◽  
Edyta Kozdroń
Keyword(s):  
Economic Development ◽  
Spatial Distribution ◽  
Rural Development ◽  
Rural Areas ◽  
Spatial Differentiation ◽  
Spatial Diversity ◽  
Development Level ◽  
Socio Economic Development ◽  
Contemporary Reality

Abstract: This article shows the characteristics of spatial differentiation of level and dynamics of socio-economic development of rural areas in Poland. The Authors try to define typical directions of the development of gminas and look for an answer to the question: what, and what gminas’ features, determine the direction of development? The analysis presented in the paper has been based on the data originating from the Rural Development Monitoring Project. The results showed the differentiation of the development level to be a part of very dynamic contemporary reality. Criteria up to this date documented in research and arranging spatial diversity of social and economic phenomena apply specifically to description of the development’s level, while dynamics is being arranged by a different criteria. Moreover, the research describes four basic profiles of the dynamics of gminas’ development.

scholarly journals Evaluation of regional low-carbon circular economy development: a case study in Sichuan province, China

2022 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Meng Ye ◽  
Fumin Deng ◽  
Li Yang ◽  
Xuedong Liang
Keyword(s):  
Economic Development ◽  
Index System ◽  
Evaluation Method ◽  
Sichuan Province ◽  
Evaluation Index System ◽  
Evaluation Index ◽  
Low Carbon ◽  
Entropy Weight ◽  
Content Type ◽  
Development Level

Purpose This paper aims to build a scientific evaluation index system for regional low-carbon circular economic development. Taking Sichuan Province as the empirical research object, the paper evaluates its low-carbon circular economy (LCCE) development level and proposes policy recommendations for climate change improvement based on the evaluation results. Design/methodology/approach This paper, first, built an evaluation index system with 30 indicators within six subsystems, namely, economic development, social progress, energy consumption, low-carbon emissions, carbon sink capacity and environmental carrying capacity. Second, develop an “entropy weight-grey correlation” evaluation method. Finally, from a practical point of view, measure the development level of LCCE in Sichuan Province, China, from 2008 to 2018. Findings It was found that Sichuan LCCE development had a general downward trend from 2008 to 2012 and a steady upward trend from 2012 to 2018; however, the overall level was low. The main factors affecting the LCCE development are lagging energy consumption and environmental carrying capacity subsystem developments. Research limitations/implications This paper puts forward relevant suggestions for improving the development of a low-carbon economy and climate change for the reference of policymakers. Originality/value This paper built an evaluation index system with 30 indicators for regional low carbon circular economic development. The evaluation method of “entropy weight-grey correlation” is used to measure the development level of regional LCCE in Sichuan Province, China.

scholarly journals Spatio-temporal Evolution of Water-Energy-Food System Risk from the Provincial Perspective: A Case Study of China

2021 ◽  
Author(s):  
Tonghui Ding ◽  
Junfei Chen ◽  
Ming Li
Keyword(s):  
Economic Development ◽  
Lower Risk ◽  
Food System ◽  
Temporal Dynamics ◽  
Temporal Analysis ◽  
Development Level ◽  
Resource Endowment ◽  
System Risk ◽  
Risk Areas ◽  
Spatio Temporal

Abstract In this paper, the definition of Water-energy-food system risk (WEF-R) was firstly defined based on stability, coordination and sustainability. Set pair analysis and risk matrix were applied to assess the spatio-temporal dynamics of WEF-R in China from 2008 to 2017. The research results showed that stability subsystem had the greatest influence on the WEF-R, and sustainability subsystem was an important factor affecting the WEF-R. According to the spatial-temporal analysis, the risk levels of coordination and sustainable subsystems showed a gradual downward trend, while that of stability subsystem showed small fluctuations from 2008 to 2017. In terms of the WEF-R level, it presented a decreasing trend of small fluctuations. In addition, the higher-risk areas of stability subsystem and lower-risk areas of sustainability subsystem, which were mainly centralized in southeast coastal and central regions, were consistent with the areas of good economic development level and high level of urbanization. While the lower-risk areas of stability subsystem and higher-risk areas of sustainability subsystem, which were mainly centralized in the northwest regions, brought into correspondence with the areas of good resource endowment but lower levels of economic development. Therefore, the spatial differences of economic development level and resource endowment were the main factors affecting the spatial pattern of the WEF-R level in China. Therefore, policy makers should focus on WEF-R and implement measures to improve the sustainable development of WEF nexus.

SPATIAL DIFFERENTIATION NON-AGRICULTURAL ACTIVITY AND ECONOMIC DEVELOPMENT LEVEL OF RURAL AREAS OF KUJAWSKO-POMORSKIE VOIVODSHIP

2017 ◽  
Vol 168 (48) ◽  
pp. 90-101
Author(s):  
Elżbieta Piotrowska
Keyword(s):  
Economic Development ◽  
Rural Areas ◽  
Spatial Differentiation ◽  
Value Added ◽  
Economic Systems ◽  
Agricultural Activity ◽  
Development Level ◽  
Gross Value Added ◽  
Development Factor ◽  
Characteristics Analysis

Non-agricultural activity is the main economic development factor of socio-economic systems including rural areas. Characteristics, analysis, spatial differentiation of basic resources and non-agricultural activity have been presented. Moreover, an attempt was made to evaluate the economic development level of rural areas of the kujawsko-pomorskie voivodship with the use of 2 methods, among others evaluation of the gross value added. The highest development is characteristic for suburban rural areas situated in the neighbourhood of the biggest cities which are economically strong like Bydgoszcz and Torun.

scholarly journals Analysis on the Degree of Coupling Coordination Between Higher Education and Regional Economic Development in China: Take Sichuan Province of China as an Example

2021 ◽  
Vol 2 (5) ◽  
Author(s):  
Chong Ye
Keyword(s):  
Higher Education ◽  
Economic Development ◽  
Regional Economic Development ◽  
Sichuan Province ◽  
Evaluation Index System ◽  
Regional Economic ◽  
Chengdu Plain ◽  
Economic Zone ◽  
The Difference ◽  
Coordination Degree

To explore the relationship between China's higher education and the level of regional economic development, the coupling coordination degree of panel data from China's Sichuan province across 2011-2018 is analyzed based on self-constructed evaluation index system and with a integration of various methods including entropy value method, coupling coordination degree model and grey forecasting model. The results show that the coupling coordination degree between higher education and economic development in five Sichuan districts is not high, among which Chengdu Plain Economic Zone is much higher than the other four: southern Sichuan Economic Zone, northeast Sichuan Economic Zone, Panxi Economic Zone and northwest Sichuan Ecological Demonstration Zone. The study also predicts that in the five years, the coupling coordination degree of the five districts in Sichuan will be still not high, and none of them will broke through the incoordinate stage and entered the coordination stage. Moreover, the difference between the prefecture-level cities in Chengdu Plain Economic Zone is the largest.

scholarly journals Spatial differentiation in the social and economic development level in Poland

Equilibrium ◽  
2018 ◽  
Vol 13 (3) ◽  
pp. 487-507
Author(s):  
Dorota Miłek
Keyword(s):  
Economic Development ◽  
Regional Development ◽  
Value Added ◽  
Local Economy ◽  
Agglomerative Clustering ◽  
Clustering Method ◽  
Development Level ◽  
The Social ◽  
Social And Economic Development ◽  
Development Levels

Research background: Social and economic development involves a broad spectrum of social, economic and spatial phenomena. The multi-faceted nature of regional development arises directly from the fact that it is shaped by multiple factors. Current discourse emphasises the role of endogenous factors, which indicate the specific nature and the distinctive features of the given territory. Mobilising the endogenous potential ensures stable regional development dynamics. At the moment, one of the fundamental economic problems are the increasing differences in the development of specific regions. Purpose of the article: The purpose of this study is to assess the differentiation of the social and economic level development of Polish Voivodeships, applying the selected assessment methods for the years 2010 and 2015, draw up a rank list of regional units according to their development levels, and identify the groups of Voivodeships sharing similar development levels. The indicators used in this study, characterising the level of the social and economic development, have been systematised according to the following areas: demographics and labour market, regional entrepreneurship, local economy structure, innovation and research & development activities, technical infrastructure, social infrastructure, and the condition and protection of the natural environment. Methods: The level of the social and economic development of Polish Voivodeships was assessed using Zdzisław Hellwig’s development pattern method, which made it possible to rank them according to the level of development of Polish Voivodeship. The methodology is supplemented by Ward’s agglomerative clustering method, which made it possible to distinguish other Voivodeships according to the analysed phenomenon. The Voivodeship clustering method used Jenks' natural breaks classification method. Findings & Value added: Pursuing the research aims, the authors focused in particular on clear spatial differences. Through the analysis we were able to identify the changes in the social and economic development processes of the Polish regions. The Voivodeships were divided into groups according to their development level: the highest, high, low and the lowest.

scholarly journals RESEARCH ON THE LEVEL OF URBAN ECONOMIC DEVELOPMENT IN SICHUAN PROVINCE

2021 ◽  
Author(s):  
TING ZHANG ◽  
RUI DING ◽  
YUAN-HONG QIU ◽  
YI-MING DU ◽  
TAO ZHOU ◽  
...  
Keyword(s):  
Cluster Analysis ◽  
Economic Development ◽  
Sichuan Province ◽  
Positive Role ◽  
Urban Economic ◽  
Urban Economic Development ◽  
Development Level ◽  
Passenger Volume ◽  
Urbanization Rate ◽  
And Cluster Analysis

This paper selects 21 cities and prefectures of Sichuan Province as the research object, adopts 12 comprehensive indicators, establishes a linear model through correlation analysis, carries out regression analysis to modify the model, and uses factor analysis and cluster analysis to study the level of urban economic development. The results show that the GDP of all regions in Sichuan Province has a strong correlation with the three indicators of total retail sales of social consumer goods, passenger volume, and urbanization rate, and plays a positive role in promoting the economic development of all cities in Sichuan Province. Chengdu ranks the highest in the comprehensive ranking of urban economic development level in Sichuan Province.

scholarly journals Airports as a factor of regional development on the example of the Szymany Airport

2014 ◽  
Vol 25 (25) ◽  
pp. 15-23
Author(s):  
Marcin Bogdański
Keyword(s):  
Economic Development ◽  
Regional Development ◽  
Economic Factors ◽  
Transport Accessibility ◽  
Development Level ◽  
Long Run ◽  
Socio Economic Development ◽  
The Military ◽  
The Eu

Abstract The Warmińsko-Mazurskie Voivodship is a NUTS II region, which belongs to the least developed regions of Poland and the EU. One of the reasons of its underdevelopment is poor transport accessibility, which limits the level of competitiveness and investment attractiveness. For this reason the voivodship authorities made a decision to build a regional airport by modernising the military airport in Szymany near Szczytno. The investment, which is co-financed by the European Funds, is aimed to reduce the level of peripherality of the region, increase its competitiveness and, as a consequence, raise the socio-economic development level. This paper aims to answer three questions. The first one concerns the extent to which the existence of a regional airport is a factor stimulating socio-economic development of regions, including peripheral ones. The second one is related to the question whether the location of the planned airport is justified by economic factors, or, to put in another way, whether the airport will bring profits in the long run. The last question, related to the previous ones, is whether the realisation of the investment in the planned form will help to reduce the degree of peripherality of the Warmińsko-Mazurskie Voivodship and thus accelerate its socio-economic development.

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