A study on the spatial distribution of the renewable energy industries in China and their driving factors

Unbalanced regional development is widespread, and the imbalance of regional development in developing countries with rapid urbanization is increasingly apparent. This threatens the sustainable development of the region. Promoting the coordinated development of the region has become a hot spot of scientific research and a major practical need. Taking 99 counties of Jiangsu Province China, a typical coastal plain region, as the basic research unit, this paper explores the unbalanced development characteristics of the regional urban spatial form using three indicators: urban spatial expansion size, development intensity, and distribution aggregation degree. Then, their driving mechanisms were evaluated using spatial autocorrelation analysis, Pearson correlation analysis, linear regression, and geographically weighted regression. Our results found that the areas with larger urban spatial expansion size and development intensity were mainly concentrated in southern Jiangsu, where there was a positive spatial correlation between them. We found no agglomeration phenomenon in urban spatial distribution aggregation degree. From the perspective of driving factors: economics was the main driving factor of urban spatial expansion size; urbanization level and urbanization quality were the main driving factors of urban spatial development intensity. Natural landform and urbanization level are the main driving factors of urban spatial distribution aggregation degree. Finally, we discussed the optimization strategy of regional coordinated development. The quality of urbanization development and regional integration should be promoted in Southern Jiangsu. The level of urbanization development should be improved relying on rapid transportation to develop along the axis in central Jiangsu. The economic size should be increased, focusing on the expansion of the urban agglomeration in northern Jiangsu. This study will enrich the perspective of research on the characteristics and mechanisms of regional urban spatial imbalance, and helps to optimize and regulate the imbalance of regional urban development from multiple perspectives.

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Review of community renewable energy projects: the driving factors and their continuation in the upscaling process

IOP Conference Series Earth and Environmental Science ◽

10.1088/1755-1315/592/1/012033 ◽

2020 ◽

Vol 592 ◽

pp. 012033

Author(s):

S Rahmani ◽

T Murayama ◽

S Nishikizawa

Keyword(s):

Renewable Energy ◽

Driving Factors ◽

Energy Projects

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Spatial distribution and driving factors determining local food and feed self‐sufficiency in the eastern regions of China

Food and Energy Security ◽

10.1002/fes3.296 ◽

2021 ◽

Author(s):

Yang Li ◽

Zhigang Sun ◽

Francesco Accatino

Keyword(s):

Spatial Distribution ◽

Local Food ◽

Driving Factors ◽

Self Sufficiency ◽

Food And Feed

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Agricultural Residue Management for Sustainable Power Generation: The Poland Case Study

Applied Sciences ◽

10.3390/app11135907 ◽

2021 ◽

Vol 11 (13) ◽

pp. 5907

Author(s):

Valerii Havrysh ◽

Antonina Kalinichenko ◽

Anna Brzozowska ◽

Jan Stebila

Keyword(s):

Power Generation ◽

Spatial Distribution ◽

Renewable Energy ◽

Renewable Energy Sources ◽

Agricultural Waste ◽

Energy Utilization ◽

Evaluation Methodology ◽

Energy Sources ◽

Energy Potential ◽

Agricultural Residue

The European Union has set targets for renewable energy utilization. Poland is a member of the EU, and its authorities support an increase in renewable energy use. The background of this study is based on the role of renewable energy sources in improving energy security and mitigation of climate change. Agricultural waste is of a significant role in bioenergy. However, there is a lack of integrated methodology for the measurement of its potential. The possibility of developing an integrated evaluation methodology for renewable energy potential and its spatial distribution was assumed as the hypothesis. The novelty of this study is the integration of two renewable energy sources: crop residues and animal husbandry waste (for biogas). To determine agricultural waste energy potential, we took into account straw requirements for stock-raising and soil conservation. The total energy potential of agricultural waste was estimated at 279.94 PJ. It can cover up to 15% of national power generation. The spatial distribution of the agricultural residue energy potential was examined. This information can be used to predict appropriate locations for biomass-based power generation facilities. The potential reduction in carbon dioxide emissions ranges from 25.7 to 33.5 Mt per year.

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SPATIAL AND TEMPORAL CHANGES OF AEROSOL OPTICAL DEPTH AND ITS DRIVING FACTORS BASED ON MODIS IN JIANGSU PROVINCE

ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences ◽

10.5194/isprs-archives-xlii-3-645-2018 ◽

2018 ◽

Vol XLII-3 ◽

pp. 645-649

Author(s):

C. Jiang ◽

Q. Xu ◽

Y. K. Gu ◽

X. Y. Qian ◽

J. N. He

Keyword(s):

Spatial Distribution ◽

Aerosol Optical Depth ◽

Optical Depth ◽

Temporal Changes ◽

Jiangsu Province ◽

Driving Factors ◽

Air Mass ◽

Spatial And Temporal Changes ◽

Clear Point ◽

Precipitation And Temperature

Aerosol Optical Depth (AOD) is of great value for studying air mass and its changes. In this paper, we studied the spatial-temporal changes of AOD and its driving factors based on spatial autocorrelation model, gravity model and multiple regression analysis in Jiangsu Province from 2007 to 2016. The results showed that in terms of spatial distribution, the southern AOD value is higher, and the high-value aggregation areas are significant, while the northern AOD value is lower, but the low-value aggregation areas constantly change. The AOD gravity centers showed a clear point-like aggregation. In terms of temporal changes, the overall AOD in Jiangsu Province increased year by year in fluctuation. In terms of driving factors, the total amount of vehicles, precipitation and temperature are important factors for the growth of AOD.

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Cultivated Land Change, Driving Forces and Its Impact on Landscape Pattern Changes in the Dongting Lake Basin

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph17217988 ◽

2020 ◽

Vol 17 (21) ◽

pp. 7988

Author(s):

Junhan Li ◽

Kaichun Zhou ◽

Huimin Dong ◽

Binggeng Xie

Keyword(s):

Land Use ◽

Spatial Distribution ◽

Landscape Pattern ◽

Dongting Lake ◽

Driving Factors ◽

Lake Basin ◽

Cultivated Land ◽

Land Resources ◽

Change Characteristics ◽

Pattern Index

Comprehending the dynamic change characteristics of land use/cover and the driving factors causing the change are prerequisites for protecting land resources. This paper analyzes changes in cultivated land, the driving factors that cause them, and their tremendous impact on landscape pattern changes in the Dongting Lake Basin. For this purpose, we used mathematical statistics, buffer analysis, trend analysis, landscape pattern index, and logistic regression model to analyze the land use data of the study area from 1980 to 2018. The results show that the cultivated land showed a decreasing trend, with the total area decreased by 4.76% (or 716.13 km2) from 1980 to 2018, and the activity of mutual transformation with other land use types decreased. The spatial distribution pattern of cultivated land and landscape shows the change characteristics gradually from Dongting Lake to the surroundings. Among the driving factors of cultivated land changes, the influence of human activities was gradually increasing, while the natural factors were decreasing. The cultivated land landscape pattern index and the overall landscape pattern index have a significant positive correlation, showing relatively consistent change trend and spatial distribution characteristics. We believe that the decrease of cultivated land area has a certain relationship with the increase of landscape fragmentation in the Dongting Lake Basin. Our research is expected to provide a reference for strengthening regional cultivated land management and rational development and utilization of regional land resources.

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Spatial distribution characteristics of pedodiversity and its major driving factors in China based on analysis units of different sizes

CATENA ◽

10.1016/j.catena.2021.105701 ◽

2021 ◽

Vol 207 ◽

pp. 105701

Author(s):

Mengyu Luo ◽

Tianwei Wang ◽

Zhenyuan Li ◽

Tieyang Zhang ◽

Jiawei Yang ◽

...

Keyword(s):

Spatial Distribution ◽

Driving Factors ◽

Distribution Characteristics ◽

Spatial Distribution Characteristics

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The driving factors of renewable energy industry development - Based on spatial panel model

IOP Conference Series Earth and Environmental Science ◽

10.1088/1755-1315/344/1/012171 ◽

2019 ◽

Vol 344 ◽

pp. 012171

Author(s):

W Zhang ◽

X Wang ◽

T Y Zhai ◽

Z Y Peng

Keyword(s):

Renewable Energy ◽

Driving Factors ◽

Energy Industry ◽

Industry Development ◽

Spatial Panel ◽

Panel Model ◽

Spatial Panel Model ◽

Renewable Energy Industry

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Spatial-Temporal Evolution and Driving Factors of Green Building Development in China

Sustainability ◽

10.3390/su12072773 ◽

2020 ◽

Vol 12 (7) ◽

pp. 2773 ◽

Cited By ~ 2

Author(s):

Yi Gao ◽

Gaosheng Yang ◽

Qiuhao Xie

Keyword(s):

Spatial Distribution ◽

Construction Industry ◽

Early Stage ◽

Temporal Distribution ◽

Green Building ◽

Green Buildings ◽

Driving Factors ◽

Human Society ◽

Distribution Characteristics ◽

Spatial Distribution Characteristics

With the development of the world economy and the rapid increase in population, the carbon dioxide produced by large energy consumption has made environmental issues increasingly prominent, which has brought severe challenges to the survival and development of human society. The construction industry, as a major energy consumer and emitter, must change. Green buildings are an important way to promote the concept of sustainable development in the construction industry. In order to deepen the understanding of the spatial-temporal distribution and evolution characteristics of China’s green building development, this study collected statistical data of China’s green building label projects from 2008 to 2018, and studied the development status of China’s green buildings in three aspects: equilibrium, spatial distribution characteristics and spatial correlation. In addition, the driving factors of green buildings development were analyzed by using geological detectors. The results show that: (1) China’s green building development level has a high spatial imbalance and obvious agglomeration situation, but there is a large diffusion effect; (2) the spatial distribution characteristics, such as the distribution center, distribution range, distribution direction, and distribution shape of green buildings are constantly changing, and the changes have regularity; (3) in the early stage of green building development, there was a significant positive correlation, but most provinces were in low–low clusters; (4) economic level, technical level, and education level are the main factors influencing the development of green buildings.

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