The Excavation of the Glazed-Tile Kiln Site at Yaogang Village in Yuhuatai District, Nanjing City, Jiangsu Province

2016 ◽  
Vol 3 (001-002) ◽  
pp. 62-93
Keyword(s):  
Jiangsu Province ◽  
Glazed Tile ◽  
Kiln Site ◽  
Nanjing City

The Niushou landslide in Nanjing City, Jiangsu Province of China: a slow-moving landslide triggered by rainfall

Landslides ◽  
2020 ◽  
Vol 17 (11) ◽  
pp. 2603-2617 ◽  
Author(s):  
Zinan Li ◽  
Faming Zhang ◽  
Wen Gu ◽  
Menglong Dong
Keyword(s):  
Jiangsu Province ◽  
Nanjing City ◽  
Slow Moving

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 Study on the Effect of Environmental Regulation on the Green Total Factor Productivity of Logistics Industry from the Perspective of Low Carbon

2019 ◽  
Vol 12 (1) ◽  
pp. 175 ◽  
Author(s):  
Zijing Liang ◽  
Yung-ho Chiu ◽  
Xinchun Li ◽  
Quan Guo ◽  
Yue Yun
Keyword(s):  
Environmental Regulation ◽  
Total Factor Productivity ◽  
Jiangsu Province ◽  
Spatial Effects ◽  
Low Carbon ◽  
Method Of Moment ◽  
Factor Productivity ◽  
Logistics Industry ◽  
Forward Logistics ◽  
The Government

Under the low-carbon background, with the aid of the Malmquist–Luenberger SBM (Slack-based Measure) model of unexpected output, the green total factor productivity (GTFP) of the logistics industry in Jiangsu Province, China, was measured and decomposed in this study based on the reality and experience of logistics industry development in 13 cities in three regions of Jiangsu Province in the years 2006–2018 by taking resource consumption into the input system and discharged pollutants into the output system. It is concluded that the environmental regulation (ER) has a significant positive effect on the growth of the GTFP of the logistics industry, and technological progress has become an important endogenous force that promotes the GTFP of the logistics industry in Jiangsu Province. On this basis, a dynamic GMM (Generalized method of moment) model and a Tobit model were constructed to further study the possible temporal and spatial effects of ER on the GTFP of the logistics industry. The research results reveal that the ER can exert both promoting and inhibitory effects on the GTFP of the logistics industry, and there is a temporal turning point for the effects. Besides, the effects notably differ spatially and temporally. Finally, some policies and advice for the green sustainable development of the logistics industry were proposed. For example, the government and enterprises should pay attention to the green and efficient development of the logistics industry and dynamically adjust the ER methods. They should consider the greening of both forward logistics links and reverse logistics system in the supply chain.

Application of an advanced spatiotemporal model for PM2.5 prediction in Jiangsu Province, China

Chemosphere ◽  
2020 ◽  
Vol 246 ◽  
pp. 125563 ◽  
Author(s):  
Ting Zhang ◽  
Penghui Liu ◽  
Xue Sun ◽  
Can Zhang ◽  
Meng Wang ◽  
...  
Keyword(s):  
Jiangsu Province ◽  
Spatiotemporal Model
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