Spatial pattern and regional types of rural settlements in Xuzhou City, Jiangsu Province, China

2013 ◽  
Vol 23 (4) ◽  
pp. 482-491 ◽  
Author(s):  
Xiaodong Ma ◽  
Fangdao Qiu ◽  
Quanlin Li ◽  
Yongbin Shan ◽  
Yong Cao
Keyword(s):  
Spatial Pattern ◽  
Jiangsu Province ◽  
Rural Settlements ◽  
Xuzhou City ◽  
Regional Types

scholarly journals Innovation Institution and Spatial Transfer of Energy Industry: The Case of Jiangsu Province, China

SAGE Open ◽  
2020 ◽  
Vol 10 (1) ◽  
pp. 215824401990018
Author(s):  
Xing Gao ◽  
Keyu Zhai ◽  
Yue Qiu ◽  
Mengqiu Cao ◽  
Meiling Wu
Keyword(s):  
Spatial Pattern ◽  
Fixed Effect Model ◽  
Jiangsu Province ◽  
Energy Industry ◽  
Industrial Upgrading ◽  
Patent Counts ◽  
Coastal Cities ◽  
Effect Model ◽  
D Investment ◽  
Local Research

This study aims to explore the effect of innovation institution on spatial transfer of energy industry in Jiangsu, China. We focus on the disparity of innovation and energy industry, and analyze the spatial transfer difference in different types of energy industry, rather than view energy industry as a whole. The study demonstrates the spatial change of energy industry at regional level and maps the spatial pattern at city level. The study chooses intellectual property rights (IPRs) protection intensity, authorization patents and local research and development (R&D) investment as the proxy of innovation. Using official data and employing panel fixed-effect model at city-industry level, we conclude (a) innovation abilities significantly influence the spatial transfer of energy industry in Jiangsu. Especially, due to the different time, IPRs protection, patent counts, and R&D investment have different effects on different regions in Jiangsu; (b) 2010 is an important turning point for energy industry development in Jiangsu, and after 2010, the energy industry begins to shift to the middle and northern Jiangsu, whereas the spatial pattern of energy industry in coastal cities is basically unchanged; (c) there is a great difference between the regions in Jiangsu Province, and industrial upgrading has not been achieved in northern Jiangsu.

scholarly journals Spatial Pattern of Land Use Change and Its Driving Force in Jiangsu Province

2014 ◽  
Vol 11 (3) ◽  
pp. 3215-3232 ◽  
Author(s):  
Xindong Du ◽  
Xiaobin Jin ◽  
Xilian Yang ◽  
Xuhong Yang ◽  
Yinkang Zhou
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Spatial Pattern ◽  
Driving Force ◽  
Jiangsu Province

scholarly journals Ancient Starch Remains Reveal the Vegetal Diet of the Neolithic Late Dawenkou Culture in Jiangsu, East China

2021 ◽  
Vol 9 ◽  
Author(s):  
Xi Zhang ◽  
Xiaoting Zhu ◽  
Yingfang Hu ◽  
Zhenyu Zhou ◽  
John W. Olsen ◽  
...  
Keyword(s):  
Agricultural Development ◽  
Residue Analysis ◽  
Jiangsu Province ◽  
Late Neolithic ◽  
Plant Resource ◽  
Broomcorn Millet ◽  
Huai River ◽  
Xuzhou City ◽  
Human Skulls ◽  
New Evidence

The Liangwangcheng site, located in Pizhou County, Xuzhou City, northern Jiangsu Province, is one of the most important Neolithic Dawenkou Culture archeological sites in the Haidai area of China’s eastern seaboard. In recent years, archaeobotanical studies in the Haidai area, mainly focusing on Shandong Province, have yielded fruitful results, while relatively few such studies have been undertaken in northern Jiangsu Province. Here, we report the results of dental residue analysis conducted on 31 individual human skulls unearthed from the Late Dawenkou Culture Liangwangcheng site. The starch granules extracted from these residue samples indicate that foxtail and broomcorn millet, rice, roots and tubers, and legumes comprised the vegetal diet of Liangwangcheng’s occupants. Evidence suggests that mixed rice–millet agriculture played a definite role, with the coexistence of gathering as an economic element. According to archaeobotanical evidence from surrounding cotemporaneous sites, the Late Neolithic human groups that lived in the lower Huang-Huai River drainage shared similar subsistence patterns. Our results provide new evidence for a more comprehensive understanding of plant resource utilization and agricultural development in northern Jiangsu during the Dawenkou period.

scholarly journals Spatial pattern and coordination optimization mode of multifunction of rural settlements

2021 ◽  
Vol 36 (3) ◽  
pp. 659
Author(s):  
Yan-bo QU ◽  
Min LIU ◽  
Wei-ya ZHU ◽  
Ling-yun ZHAN ◽  
Zong-li PING
Keyword(s):  
Spatial Pattern ◽  
Rural Settlements

Rural settlements of the Jiangsu province, China

GeoJournal ◽  
1983 ◽  
Vol 7 (1) ◽  
Author(s):  
Shu-tan Lee ◽  
Qui-Min Jing
Keyword(s):  
Jiangsu Province ◽  
Rural Settlements

scholarly journals Reliability Analysis of LandScan Gridded Population Data. The Case Study of Poland

2019 ◽  
Vol 8 (5) ◽  
pp. 222 ◽  
Author(s):  
Beata Calka ◽  
Elzbieta Bielecka
Keyword(s):  
Spatial Pattern ◽  
Geographical Location ◽  
Grid Cell ◽  
Population Data ◽  
Polish Population ◽  
Rural Settlements ◽  
Detection Approach ◽  
Population Grid ◽  
Agricultural Areas ◽  
Transition Areas

The issue of population dataset reliability is of particular importance when it comes to broadening the understanding of spatial structure, pattern and configuration of humans’ geographical location. The aim of the paper was to estimate the reliability of LandScan based on the official Polish Population Grid. The adopted methodology was based on the change detection approach, spatial pattern and continuity analysis, as well as statistical analysis at the grid-cell level. Our results show that the LandScan data can estimate the Polish population very well. The number of grid cells with equal people counts in both datasets amounts to 10.5%. The most and highly reliable data cover 72% of the country territory, while less reliable ones cover only 4.3%. The LandScan algorithm tends to underestimate people counts, with a total value of 79,735 people (0.21%). The highest underestimation was noticed in densely populated areas as well as in the transition areas between urban and rural, while overestimation was observed in moderately populated regions, along main roads and in city centres. The underestimation results mainly from the spatial pattern and size of Polish rural settlements, namely a big number of shadowed single households dispersed over agricultural areas and in the vicinity of forests. An excessive assessment of the number of people may be a consequence of the well-known blooming effect.

scholarly journals Spatiotemporal Evolution and Improvement Potential of Agricultural Eco-efficiency in Jiangsu Province

2021 ◽  
Vol 9 ◽  
Author(s):  
Zaijun Li ◽  
Suleman Sarwar ◽  
Tao Jin
Keyword(s):  
Spatial Pattern ◽  
Spatial Association ◽  
Jiangsu Province ◽  
Scale Efficiency ◽  
Chemical Fertilizers ◽  
Spatiotemporal Evolution ◽  
Factors Affecting ◽  
The North ◽  
Hilly Region ◽  
Wuxi City

This study evaluated the agricultural eco-efficiency (AEE) of 77 counties and districts in Jiangsu Province from 1999 to 2018 using the slack-based measure (SBM) of efficiency in data envelopment analysis (DEA) (SBM-DEA) and analyzed its spatiotemporal evolution characteristics and influencing factors. We found that 1) the overall AEE, pure technology efficiency (PTE), and scale efficiency (SE) exhibited a fluctuating downward trend. AEE exhibited a significantly positive spatial association and an increasingly widening regional inequality. 2) AEE featured the “high south” and “low north” spatial pattern, with the high-value regions concentrated around the Taihu Lake plain region in southern Jiangsu Province (Sunan) and low-value regions scattered across most of the northern Jiangsu Province (Subei) cities. The high-high and low-low spatial association types further confirmed the existence of the north–south agglomeration pattern. 3) PTE and SE exhibited a similar “high south” and “low north” spatial pattern to that of AEE. The areas with the growth trends of AEE, PTE, and SE were clustered in Xuzhou and Nanjing city and in the bordering regions between Yangzhou and the Huai’an city, and also between Changzhou and the Wuxi city. 4) Excessive redundant input and use of pesticides, chemical fertilizers, agricultural diesel, labor, land, and agricultural carbon emissions, all have been the primary factors affecting Jiangsu’s AEE. Irrigation also considerably affected AEE, while mechanical power and agricultural film have minimal effects. The majority of counties and districts in the Subei, central Jiangsu Province (Suzhong), and Ningzhen Yang Hilly region experienced excessive usage of chemical fertilizers, pesticides, chemical fertilizers, agricultural diesel, labor, and land. The findings can improve understanding of the spatial association effect and underlying impediment of AEE and can further help policymakers promoting agricultural eco-efficiency.

scholarly journals Spatio-temporal Evolution and Improvement Potential of Agricultural Eco-efficiency in Jiangsu Province

2021 ◽  
Author(s):  
Zaijun Li ◽  
Meijuan Hu ◽  
Tao Jin
Keyword(s):  
Spatial Pattern ◽  
Temporal Evolution ◽  
Spatial Association ◽  
Jiangsu Province ◽  
Chemical Fertilizer ◽  
Scale Efficiency ◽  
Hilly Region ◽  
Nanjing City ◽  
Spatio Temporal ◽  
High Level

Achieving eco-efficiency in agriculture production at low environmental costs is key to sustainable agriculture. Using the DEA-SBM model, this study evaluated the agricultural eco-efficiency of the 77 counties and districts in China’s Jiangsu province from 1999 to 2018 and analyzed its spatio-temporal evolution pattern and influencing factors. The mains conclusions were as follows: (1) The overall agricultural eco-efficiency and its decomposition terms, pure technology efficiency and scale efficiency, exhibited a fluctuating downward trend. The regional inequality in agricultural eco-efficiency had been widening and exhibited a strong positive spatial association. (2) The agricultural eco-efficiency in Jiangsu province presented a “high south and low north” spatial pattern. High-level agricultural eco-efficiency areas were in the Taihu Plain in Sunan, while low-level agricultural eco-efficiency zones are distributed across Subei City. The High-High-type spatial association pattern is concentrated in the Suzhou-Wuxi-Changzhou region, while the Low-Low areas are mainly in the coastal regions of Subei and Suzhong. (3) The spatial pattern of PTE and SE generally exhibited a “high south and low north” distribution. Areas with positive growth in agricultural eco-efficiency, PTE, and SE, were situated in Xuzhou, Nanjing city, and the bordering regions between Yangzhou and Huai’an, and Changzhou and Wuxi. (4) The excessive redundant use and application of pesticides, chemical fertilizer, agricultural diesel, labor, land, and agricultural carbon emission have been the primary factor affecting Jiangsu's agricultural eco-efficiency. Irrigation had also signficantly impacted agricultural eco-efficiency, while mechanical power and agricultural film had minimal effect. The majority of counties and districts in Subei, Suzhong, and Ningzhen Yang Hilly region have issues regarding their excessive usage of chemical fertilizer, pesticide, chemical fertilizer, agricultural diesel, labor, and land. The findings of this study can contribute towards a better understanding of agricultural eco-efficiency and spatial association effect and can help policymakers increase agricultural eco-efficiency.

scholarly journals Exploration on the Spatial Assembling Pattern of Contemporary Rural Settlements Based on GIS --- Taking Diqing Tibetan Autonomous Prefecture as an Example

2018 ◽  
Vol 228 ◽  
pp. 05001
Author(s):  
Qi Liu ◽  
Yiwei Zhang
Keyword(s):  
Spatial Distribution ◽  
Spatial Pattern ◽  
Distribution Pattern ◽  
Optimization Design ◽  
Rural Settlement ◽  
Spatial Distribution Pattern ◽  
Practical Significance ◽  
Rural Settlements ◽  
Gis Technology ◽  
Main Method

Rural settlements of China are in the era of rapid information development, experiencing revolutionary changes and cultural breakthroughs. This article takes the main rural settlements in Diqing as examples and uses GIS technology as the main method, analyses spatial distribution and assembling characteristics of rural settlements. Based on this, the article extracts the spatial assembling pattern of Diqing rural settlements. Take the topography, rivers, roads and other factors, this article analyzes the causes of the spatial distribution pattern of contemporary rural settlements. The article argues that it has a great theoretical and practical significance to study the spatial pattern of rural settlements, and points out the necessity of using modern GIS technology in the rural settlement research. This method cannot be only maximum the precise analytical ability of contemporary traditional rural settlement space, but also better serve the adjustment, control and optimization design of contemporary settlements.

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