scholarly journals Impact of Manufacturing Transfer on SO2 Emissions in Jiangsu Province, China

Atmosphere ◽  
2016 ◽  
Vol 7 (5) ◽  
pp. 69 ◽  
Author(s):  
Ying Peng ◽  
Jian Cui ◽  
Youhui Cao ◽  
Ying Du ◽  
Andrew Chan ◽  
...  
Keyword(s):  
Jiangsu Province ◽  
So2 Emissions

COMBINED OPTOELECTRONIC METHODS USED IN THE MONITORING OF SO2 EMISSIONS AND IMISSIONS

2013 ◽  
Vol 12 (2) ◽  
pp. 277-282 ◽  
Author(s):  
Jeni Vasilescu ◽  
Luminita Marmureanu ◽  
Lucia Deaconu ◽  
Nicolae Ajtai ◽  
Camelia Talianu
Keyword(s):  
So2 Emissions

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

scholarly journals Subtyping Salmonella isolated from pet dogs with multilocus sequence typing (MLST) and clustered regularly interspaced short palindromic repeats (CRISPRs)

AMB Express ◽  
2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Cheng Yang ◽  
Wangfeng Shao ◽  
Lingling Wei ◽  
Lingxiao Chen ◽  
Aihua Zhu ◽  
...  
Keyword(s):  
Multilocus Sequence Typing ◽  
Sequence Type ◽  
Jiangsu Province ◽  
Zoonotic Pathogen ◽  
Recognition Ability ◽  
Prevention And Treatment ◽  
Common Serotypes ◽  
The Common ◽  
Different Sources ◽  
Positive Effect

AbstractSalmonella, as a zoonotic pathogen, has attracted widespread attention worldwide, especially in the transmission between household pets and humans. Therefore, we investigated the epidemic distribution of dog Salmonella from pet hospitals and breeding base in Xuzhou, Jiangsu Province, China, and used multilocus sequence typing (MLST) and clustered regularly interspaced short palindromic repeats (CRISPRs) to subtype Salmonella isolates. From April 2018 to November 2019, a total of 469 samples were collected from pet hospitals and breeding base, including 339 dog samples and 60 cat samples. S. Kentucky (40.74%) was the most prevalent serotype, but other, such as S. Typhimurium (18.52%) and S. Indiana (18.52%), were also widespread. Eight different sequence type (ST) patterns were identified by MLST and ST198 was the highest proportion of these isolates. CRISPRs analysis showed that 9 different Kentucky CRISPR types (KCTs) was identified from ST198. 48 spacers including 29 (6 News) for CRISPR1 and 19 (4 News) for CRISPR2 that proved the polymorphic of Salmonella genes in samples from different sources. The analysis demonstrated that the common serotypes were widely present in pet hosts in the same area. This analysis shows that CRISPR genes have better recognition ability in the same serotype, which has a positive effect on the traceability of Salmonella and the prevention and treatment of salmonellosis.

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