scholarly journals An Analysis on the Hindrances of the Implementation of the CTG Switching Policies in Rural Areas in Hebei Province: A Smith Policy-Implementing-Process Framework

2020 ◽  
Vol 08 (08) ◽  
pp. 14-25
Author(s):  
Yishu Ren
Keyword(s):  
Rural Areas ◽  
Hebei Province ◽  
Process Framework

scholarly journals Characteristics and Health Risk Assessment of Semi-Volatile Organic Contaminants in Rural Pond Water of Hebei Province

2019 ◽  
Vol 16 (22) ◽  
pp. 4481
Author(s):  
Lin Liu ◽  
Zhu Rao ◽  
Yuan Wang ◽  
Hamidreza Arandiyan ◽  
Jie Gong ◽  
...  
Keyword(s):  
Organic Pollutants ◽  
Rural Areas ◽  
Organic Contaminants ◽  
Phthalate Esters ◽  
Pond Water ◽  
Carcinogenic Risk ◽  
Hebei Province ◽  
Environmental Media ◽  
Volatile Organic ◽  
Total Cancer

Pond water as surface water has certain environmental impacts on environmental media such as groundwater, lakes, atmosphere, and soil. Organic pollutants present in pond water may pose health risks to humans, but research on organic pollutants in pond water is rare. Here, taking pond water collected in rural areas of Hebei province as the sample, we analyzed and evaluated four categories of semi-volatile organic compounds (SVOCs), including 11 phenolic compounds, 7 aniline compounds, 16 parent polycyclic aromatic hydrocarbons (PAHs), 14 PAH derivatives, and 16 phthalate esters (PAEs). The results show that the 10 water samples contained 26.2–17034 ng/L of Σ phenols, 33.7–2612 ng/L of Σ anilines, 33.9–1651 ng/L of Σ PAHs, and 59.0–2800 ng/L of Σ PAEs. Furthermore, non-carcinogenic risk and carcinogenic risk caused by SVOCs through direct ingestion and dermal exposure were also assessed. The current levels of non-carcinogenic risks and carcinogenic risks through these two means of exposure are within acceptable limits, except for the site 1 and site 5 in Hebei province where a total cancer risk exceeds 10−6. It can be concluded that the pond water studied had a low risk of carcinogenicity to the human.

scholarly journals A comprehensive evaluation of county economies in the Beijing-Tianjin-Hebei Region based on entropy TOPSIS analysis

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Lu Sen ◽  
Zhang Yang ◽  
Zhang Caihong ◽  
Wu Chengliang
Keyword(s):  
Economic Development ◽  
National Economy ◽  
Rural Areas ◽  
Comprehensive Evaluation ◽  
Critical Role ◽  
Hebei Province ◽  
Evaluation Index System ◽  
Developmental Level ◽  
County Economy ◽  
Entropy Technique

Abstract Although the economy of a county that is linked to surrounding towns and rural areas constitutes a multiple basic economic unit within China's national economy, it usually exhibits independent characteristics and functions. Consequently, a county's economy plays a critical role in the overall economic development of a country's national economy. We created an evaluation index system based on entropy Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) to carry out a comprehensive evaluation of county economy across the entire Beijing-Tianjin-Hebei region. We found serious imbalances in the development of these counties, with county economies within Beijing and Tianjin being more advanced than those in Hebei Province. Furthermore, there were marked differences between county economies within prefecture-level cities of Hebei Province. The developmental level of counties in cities like Langfang, Tangshan and Chengde was relatively high. Conversely, the level of development of counties in Hengshui, Baoding, Xingtai and Handan was lower. Moreover, there were imbalances among cities in relation to county economic development, especially in Langfang, with smaller differences being found in Hengshui and Qinhuangdao. We analysed and identified the factors influencing differences between counties before providing recommendations.

Analysis on the Wheat Growers Insurance Purchasing Decisions in Hebei Province China

2014 ◽  
Vol 962-965 ◽  
pp. 2995-3002 ◽  
Author(s):  
Abdur Rehman ◽  
Wang Jian
Keyword(s):  
Focus Group ◽  
Focus Group Discussion ◽  
Rural Areas ◽  
Group Discussion ◽  
Hebei Province ◽  
Wheat Crop ◽  
Purchasing Decisions ◽  
Field Surveys ◽  
Logit Regression Model ◽  
Insurance Purchasing

The aim of this article was to evaluate the qualitative and quantitative variables influencing the wheat insurance purchasing decisions using farm level survey data in Hebei Province of China. The field surveys were carried out using questionnaire, focus group discussion and on site visit throughout in the targeted rural areas. Software Eview 6.00 and the binary logit regression model were used to determine the main factors influencing the farmers’ wheat insurance purchasing decisions. Results revealed that majority of the farmers were associated with the insuring of their wheat crop in different ways. In the focus group discussion it was found that the study area has been more prone to natural disasters and the wheat productivity was also affected. However, the findings presented in the article may help to improve the farmers’ wheat insurance purchasing decisions.

Waste Countermeasures in New Rural Construction of Hebei Province

2013 ◽  
Vol 807-809 ◽  
pp. 1181-1184
Author(s):  
Chang Yong Jing ◽  
Li Ma ◽  
Hong Fen Wang
Keyword(s):  
Rural Areas ◽  
Garbage Collection ◽  
Hebei Province ◽  
Policy Recommendations ◽  
The Core ◽  
Support Measures ◽  
Core Technology ◽  
Specific Support ◽  
Countermeasures And Suggestions ◽  
Rural Construction

Mountain garbage pollution in the province's economic, safety, feasibility as the goal, make full use of the space advantage mountainous rural areas, labor advantage and grassroots organizational advantage, raised in rural garbage collection and disposal countermeasures and suggestions; GIS and multi-objective decision-making as the core technology designed particles and waste disposal lines, to optimize garbage collection and disposal in the region of space network, and propose specific support measures and policy recommendations.

Study on Rural Water Security Problem and the Construction of New Countryside in Hebei Province

2013 ◽  
Vol 353-356 ◽  
pp. 2930-2933
Author(s):  
Xiao Meng ◽  
Xian Bing Wu ◽  
Wei Yun Zhang
Keyword(s):  
Rural Areas ◽  
Water Security ◽  
Drainage Water ◽  
Hebei Province ◽  
Existing Problems ◽  
Rural Water ◽  
Security Problem ◽  
New Countryside ◽  
The Relationship ◽  
Rural Construction

Based on the understanding of the connotation of water security, firstly the connotation of rural water security is analyzed, and then the relationship between rural water security and new rural construction is discussed. Taking Hebei Province as an example, the main existing problems of rural water security in Hebei province is analyzed from the aspects of rural drinking water security, rural areas irrigation water security, rural drainage water security, finally puts forward some countermeasures for solving the problem of rural water security.

scholarly journals The characteristics of and responses to the two COVID-19 outbreak waves in Hebei Province of China, January 2020 to February 2021

2021 ◽  
Vol 149 ◽  
Author(s):  
Xiaomin Cheng ◽  
Yifan Li ◽  
Yali Zhang ◽  
Jiahai Lu
Keyword(s):  
Rural Areas ◽  
Urban Areas ◽  
Early Stage ◽  
Social Activity ◽  
Hebei Province ◽  
Epidemic Spread ◽  
Potential Threat ◽  
Time Update ◽  
Epidemiological Characteristics ◽  
Pharmaceutical Interventions

Abstract Hebei Province was affected by two coronavirus disease 2019 (COVID-19) outbreak waves during the period 22 January 2020 through 27 February 2020 (wave 1) and 2 January 2021 through 14 February 2021 (wave 2). To evaluate and compare the epidemiological characteristics, containment delay, cluster events and social activity, as well as non-pharmaceutical interventions of the two COVID-19 outbreak waves, we examined real-time update information on all COVID-19-confirmed cases from a publicly available database. Wave 1 was closely linked with the COVID-19 pandemic in Wuhan, whereas wave 2 was triggered, to a certain extent, by the increasing social activities such as weddings, multi-household gatherings and church events during the slack agricultural period. In wave 2, the epidemic spread undetected in the rural areas, and people living in the rural areas had a higher incidence rate than those living in the urban areas (5.3 vs. 22.0 per 1 000 000). Furthermore, Rt was greater than 1 in the early stage of the two outbreak waves, and decreased substantially after massive non-pharmaceutical interventions were implemented. In China's ‘new-normal’ situation, development of targeted and effective intervention remains key for COVID-19 control in consideration of the potential threat of new coronavirus strains.

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