scholarly journals Modeling the Spatial Formation Mechanism of Poverty-Stricken Counties in China by Using Geographical Detector

2019 ◽  
Vol 11 (17) ◽  
pp. 4752 ◽  
Author(s):  
Zhou ◽  
Zhen ◽  
Wang ◽  
Xiong

The poverty-stricken counties in China follow a spatial pattern of regional poverty. Examining the influential factors of this spatial pattern can provide an important reference that can guide China in its implementation of a poverty alleviation policy. By applying a geographical detector and using a sample of poverty-stricken counties in China, this study explores the spatial relationship of county distribution with spatial influential factors, including terrain relief, cultivated land quality, water resource abundance, road network density, and the locational index. These poverty-stricken counties are then classified, and the main factors that restrict their economic development are determined. The results highlight that the selected poverty-stricken counties suffer a severe condition in each of the spatial factors mentioned above. Most of these counties are classified under the location index, terrain relief, and road network density constraint types. Each of the aforementioned spatial influential factors has unique controlling mechanisms on the distribution of these poverty-stricken counties. Most of these counties are constrained by two or multiple spatial influential factors, except for some counties located in South and Central China, which are mainly constrained by a single spatial influential factor. Therefore, these single factor-constrained poverty-stricken counties warrant more attention when a developmental policy for poverty alleviation is to be implemented. The various aspects of poverty-stricken counties constrained by multiple factors must be comprehensively considered with a special focus on their development. The differentiated policies must be designed for these poverty-stricken counties on the basis of their spatial influential factors.

2021 ◽  
Author(s):  
Rajaram Dhole ◽  
Ismael Ripoll ◽  
Sabesan Rajaratnam ◽  
Celine Jablonski

Abstract Pipelines are coated with insulating material that minimizes heat losses to the environment. Reeled pipe can experience nominal bending strain in the order of 1% to 2%. Thick coating on the pipe is inherently more highly strained, because of concentrations that occur at the interface between parent coating and field joint coating. Occasionally, contractors who specialize in pipe-lay using the reeling method have experienced difficulties relating to unexpected disbondment and cracks in coating at these interfaces. Any disbonded coating is routinely identified and repaired, but it is important to understand the influential factors that could lead to this type of coating disbondment. It is known in the industry that parameters such as temperature, reeling speed and pipe tension are influential but the relative influence of the factors is not well understood. In addition, there is currently no industry code or recommended practice that proposes the strain levels that the coating could safely withstand prior to cracking. This paper addresses thermo-mechanical aspects of coating design and presents a novel approach to quantify which parameters have the largest influence. In the presented assessments, coating strain was assessed using finite element analysis. Material input was selected from a combination of typical values and specific laboratory test results for polypropylene (PP) and injection molded polypropylene (IMPP). An essential aspect was that the mechanical and thermal properties of the PP were related to temperature and strain rate. Strain rates in the coating during reeling operations were obtained from global FE models. Detailed local FE models incorporated all the material and load inputs and temperature conditions that are necessary to determine peak strain values in the coating; the peak strain values would indicate the locations of potential coating disbondment. The study is purely a strain assessment and excludes any potential for defects or delamination in the coating that could result from its manufacturing process. This strain-based study revealed that coating temperature during reeling is the most influential factor on strain level in the coating. Reeling speed and pipe tension are parameters providing secondary influences.


2016 ◽  
Vol 10 (1) ◽  
pp. 1-20
Author(s):  
Serena Aktar

This is an empirical and quantitative study conducted on small scale live entrepreneurs and potential entrepreneurs of university level students of Bangladesh. The main purpose of this study is to identify and examine the factors influencing decision of becoming an entrepreneur. For fulfilling the study purpose, by using simple random sampling technique a total of 600 questionnaires were administered; 300 were distributed to the students who were interested to become entrepreneurs and 300 questionnaires were also distributed to small scale live entrepreneurs who formed their business during the last two years and more. Data were analyzed according to objectivity. The results indicated that need for achievement is highly influential factor in picking up decision of becoming an entrepreneur of potential entrepreneurs of university level students and family business background is the main influential factor in taking decision of becoming an entrepreneur of the small scale live entrepreneurs. Parallel factors, e.g., locus of control, risk taking propensity and proactive personality also acted as the influential factors of creating entrepreneurial affinity in both of them.Journal of Business and Technology (Dhaka) Vol.10(1) 2015; 1-20


Agrologia ◽  
2018 ◽  
Vol 7 (1) ◽  
Author(s):  
Silwanus M Talakua ◽  
Rafael M Osok

Land use is the most influential factor in soil degradation due to erosion. The objectives of this research are to know the level of land degradation and the factors that influence the land use area, the upper vegetation density and the lower vegetation density. This research uses the method of measuring ground damage indicator in the field. The results showed that single, wide land use, upper vegetation density and lower vegetation density had an effect on soil degradation on mixed garden land use; while simultaneously, wide land use, upper vegetation density and lower vegetation density have an effect on soil degradation on mixed garden land use. The most influential factors for soil degradation in mixed gardens are the area of land use and lower vegetation density.Keyword:  Degradation of soil, land, vegetation density, mixed gardens.


Author(s):  
Igor A. Bakhirev ◽  
◽  
Anton A. Chernyshov ◽  
Natalia V. Shyrokaya ◽  
Petr D. Pronin ◽  
...  

2018 ◽  
Vol 73 ◽  
pp. 03007
Author(s):  
Osiana Karita Putri ◽  
M H Dewi Susilowati

Pacitan Regency has the potential natural tourism because in the south is adjecent to the Indian Ocean and that region has many caves. The number of tourists visit in Pacitan Regency has recently increased, especially in 2017 is the highest number of tourists visit. Spatial pattern of tourist distribution can be analyzed based on terrain, type of network and the distance from city center. The purpose of this study is analyzing spatial pattern of tourist distribution based on physical factor (terrain) and accessibility factors (type of road network and the distance from city center) then the factors that have significant relation. The data are collected by observation, interview, plotting, and documentation. The method used in this research was descriptive and statistics. The tourists distribution in this research are total of tourist arrivals 2017 in tourism object that registered by the department of tourism, youth, and sport of Pacitan Regency. The result shows the highest tourist distribution is on Teleng Ria Beach and Klayar Beach. Teleng Ria Beach is on flat terrain, located on local road and near from city center of Pacitan Regency. Klayar Beach is on undulating terrain, located on other road and moderate from city center of Pacitan Regency. The highest tourist distribution in Teleng Ria Beach and Klayar Beach are reinforced with the most complete primary, secondary and conditional facilities among other tourism objects in Pacitan Regency. Statistics show significant relation between tourist distribution and physical factor (terrain).


2020 ◽  
Vol 241 ◽  
pp. 104929 ◽  
Author(s):  
Yusi Huang ◽  
Yuxi Ji ◽  
Zhongmin Zhu ◽  
Tianhao Zhang ◽  
Wei Gong ◽  
...  

2020 ◽  
Vol 15 (3) ◽  
pp. 411-423
Author(s):  
Maximus Gorky Sembiring

PurposeThis study envisioned plausible influential factors on service quality and academic excellence relatable to graduate self-confidence in an open distance learning (ODL) outlook. The objective was to expose the moderating role of academic excellence (graduate satisfaction) between service quality and self-confidence (engagement, achievement, loyalty and opportunity, EALO). It was also of interest to explore how, in what routines factors involved interrelated.Design/methodology/approachThis study utilized exploratory design. Qualitatively, service quality included acclimation, advising, module, tutorial, assessment, feedback and referral factors. Service quality led to academic excellence (GPA, study length, relevance and recognition). Besides, academic excellence influenced self-confidence. Quantitatively, service quality, academic excellence and self-confidence were the independent, moderating and dependent variables. Respondents were randomly selected through a survey of eligible Universitas Terbuka alumni.Findings11 hypotheses were assessed under structural-equation modeling (SEM). Responses from 122 out of 500 graduates were completed. Eight hypotheses were validated by the analysis. The tutorial was the most influential factor followed by module, assessment and acclimation; advising, feedback and referral were excluded. Academic excellence also led to self-confidence. The study was able to visualize a substantial role of academic excellence in moderating service quality to EALO. Besides, important-performance analysis and customer-satisfaction index (IPA-CSI) recognized 21 out of 32 attributes as the pillars of academic excellence.Originality/valueThree of the hypotheses were invalidated by the quantitative analysis. Further inquiry with much broader coverage is then required to diminish the variance to finally find the ideal framework.


2014 ◽  
Vol 609-610 ◽  
pp. 311-316
Author(s):  
Xiao Cai Yu ◽  
Dong Dong Hu ◽  
Jin Fang Chen ◽  
Xiao Jie Jin ◽  
Xu Zheng

ZnO and Ag-droped ZnO photocatalysts with different Ag loadings (0.5, 1.0, 1.5, 2.0at%) and different calcination temperature (300, 400, 500, 600, 700°C) were synthesized by a sonochemical method. The morphology and crystal pattern of some prepared catalysts were characterized by XRD and SEM techniques which demonstrated that the prepared catalysts were of hexagonal wurtzite structure. Ag loadings, calcination temperature and other factors, dosage of photocatalyst, reaction time and pH value of seawater, were also taken into consideration in the procedure of photocatalytic degradation reaction under UV light. An orthogonal experiment was carried out to investigate the best combination of factors which can reach the best diesel pollution removal rate and the influence order of factors. Reaction time and dosage of catalyst were the most influential factors in this experiment, and the factor of calcination temperature was the weakest influential factor. The removal rate of diesel can up to 78% when the experiment was undertaken under the very conditions: the dosage of catalyst 2.0g/L, reaction time 2.0h, Ag loading of catalyst 1.0 at%, calcinations temperature 400°C and pH value 8.5.


2012 ◽  
Vol 518-523 ◽  
pp. 5822-5829 ◽  
Author(s):  
Jia Jing Zhang ◽  
Dong Xia Yue ◽  
Yu Qiong Wang ◽  
Jun Du ◽  
Jian Jun Guo ◽  
...  

China is a country at serious risk from geohazards. With the development of the social economy, the effects of climate change and increment of human activity, the ecological environment has deteriorated. Due to the frequent occurrence of geohazards, not only has the safety of human lives been threatened, but regional sustainable development has also been greatly influence. This paper mainly aims at analyzing correlation and spatial pattern between human activities and geohazards in the Bailong River Basin. Results showed that the correlation coefficient between the settlements and landslide sites is 0.361; meanwhile, the correlation coefficient between settlements and debris flows reaches 0.620. Besides, the spatial distributions of the per-unit-area biocapacity and geohazard sites (landslides and debris flows) are very similar, and the correlation coefficient between total biocapacity and two types of geohazard is respectively 0.217 and 0.562. All results above showed that the greater the density of human activities in this region, the more disasters occurred. The studies indicated a significant correlation, and showed that human activity is the most important influential factor inducing geohazards. We explore the mechanism factors of natural disaster, which have a great significance for disaster management and sustainable socio-economic development.


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