scholarly journals Impact of Internet use on the income gap among rural residents: A social capital-based analysis of the mediating effect

Author(s):  
Lina Shangguan ◽  
Xiaoyan Peng

Based on 2010, 2013 and 2015 CGSS data, the impact of Internet use and social capital on the income gap among farmers in the past five years is assessed at three time points using the OLS method and a quantile regression method. The study finds that (1) the income gap among farmers increases continuously in the five-year period, while Internet use plays a positive impact on farmers’ income growth in all five quartiles; the coefficient differences are all significantly negative, indicating that Internet use plays a positive role in alleviating the income gap between high-income and low-income farmer subgroups, and (2) social capital plays a positive role in moderating the income gap among farmers and that Internet use by farmers expands the boundary of social capital, which in turn increases the income level of and alleviates the income gap among farmers.

2021 ◽  
Vol 13 (9) ◽  
pp. 5099
Author(s):  
Qing’e Wang ◽  
Luwei Zhao ◽  
Alice Chang-Richards ◽  
Yuanyuan Zhang ◽  
Hujun Li

In knowledge economy era, enterprise needs to innovate to maintain its advantages and competitiveness. Construction enterprises, being pillars of China’s economy and confronting the challenge brought by the strategy of “going out”, the call for their technology or management innovation was broadly pronounced across practical and academic fields. Social capital (SC), as a resource in a social network, is the basis for creating sustainable competitiveness and advantage for enterprises. The innovative achievements and innovation performance (IP) of enterprises are largely determined by their SC. To achieve competitiveness in the market, enterprises must carry out knowledge transfer (KT) with the other members of their networks. However, few scholars have examined weather SC has any effect on IP in construction enterprises. Using a KT perspective, this paper explored how SC affects the IP of construction enterprises. Based on the literature review and analysis, a conceptual model was constructed and validated using structural equation modeling (SEM). Through empirical analysis, the following conclusions were drawn: (1) SC has a positive impact on the IP of construction enterprises. Among them, the structural dimension (SD) and cognitive dimension (CD) have a significant positive impact on the IP of construction enterprises, while the relational dimension (RD) does not. (2) The SD, CD, and RD of construction enterprises’ SC have a positive influence on KT. (3) There are mediating effects of KT between SC and IP of construction firms, and they are partial. KT plays a partial mediating effect between SD, CD, and IP of construction firms. The research results can not only improve an understanding of effects of SC on IP of construction enterprises, but also validate the importance of KT in stimulating IP.


BMJ Open ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. e041599 ◽  
Author(s):  
Mary McCauley ◽  
Joanna Raven ◽  
Nynke van den Broek

ObjectiveTo assess the experience and impact of medical volunteers who facilitated training workshops for healthcare providers in maternal and newborn emergency care in 13 countries.SettingsBangladesh, Ghana, India, Kenya, Malawi, Namibia, Nigeria, Pakistan, Sierra Leone, South Africa, Tanzania, UK and Zimbabwe.ParticipantsMedical volunteers from the UK (n=162) and from low-income and middle-income countries (LMIC) (n=138).Outcome measuresExpectations, experience, views, personal and professional impact of the experience of volunteering on medical volunteers based in the UK and in LMIC.ResultsUK-based medical volunteers (n=38) were interviewed using focus group discussions (n=12) and key informant interviews (n=26). 262 volunteers (UK-based n=124 (47.3%), and LMIC-based n=138 (52.7%)) responded to the online survey (62% response rate), covering 506 volunteering episodes. UK-based medical volunteers were motivated by altruism, and perceived volunteering as a valuable opportunity to develop their skills in leadership, teaching and communication, skills reported to be transferable to their home workplace. Medical volunteers based in the UK and in LMIC (n=244) reported increased confidence (98%, n=239); improved teamwork (95%, n=232); strengthened leadership skills (90%, n=220); and reported that volunteering had a positive impact for the host country (96%, n=234) and healthcare providers trained (99%, n=241); formed sustainable partnerships (97%, n=237); promoted multidisciplinary team working (98%, n=239); and was a good use of resources (98%, n=239). Medical volunteers based in LMIC reported higher satisfaction scores than those from the UK with regards to impact on personal and professional development.ConclusionHealthcare providers from the UK and LMIC are highly motivated to volunteer to increase local healthcare providers’ knowledge and skills in low-resource settings. Further research is necessary to understand the experiences of local partners and communities regarding how the impact of international medical volunteering can be mutually beneficial and sustainable with measurable outcomes.


2021 ◽  
pp. 135406882110119
Author(s):  
Matthew Polacko

Previous research into the relationship between income inequality and turnout inequality has produced mixed results, as consensus is lacking whether inequality reduces turnout for all income groups, low-income earners, or no one. Therefore, this paper builds on this literature by introducing supply-side logic, through the first individual-level test of the impact that income inequality (moderated by policy manifesto positions) has on turnout. It does so through multilevel logistic regressions utilizing mixed effects, on a sample of 30 advanced democracies in 102 elections from 1996 to 2016. It finds that higher levels of income inequality significantly reduce turnout and widen the turnout gap between rich and poor. However, it also finds that when party systems are more polarized, low-income earners are mobilized the greatest extent coupled with higher inequality, resulting in a significantly reduced income gap in turnout. The findings magnify the negative impacts income inequality can exert on political behavior and contribute to the study of policy offerings as a key moderating mechanism in the relationship.


2022 ◽  
Vol 18 (1) ◽  
pp. 0-0

This study examined the impact of E-CRM on customer loyalty with the mediating effect of customer satisfaction in the banking industry. Customer satisfaction is important for loyalty because when the customers are satisfied with the services offered by their service providers, the relationship gets stronger which further leads to positive word-of-mouth. The data was collected using purposive sampling from 836 banks’ customers who were using E-CRM services and the data was analyzed using structural equation model (SEM) through AMOS. The results revealed that E-CRM and customer satisfaction had a significant positive impact on customer loyalty and also customer satisfaction partially mediated the relationship between E-CRM and customer loyalty. This study would offer useful acumen to both academicians and marketers and would help the bank managers to improve the quality of the services provided to their customers.


2018 ◽  
Vol 53 ◽  
pp. 04054
Author(s):  
Xuefei Xu ◽  
Lili Wang ◽  
Shang Chen

As green growth has attracted a great deal of attention due to the growing concern about the degradation of natural resources and environmental pollution in China, the questions of how to achieve it and which factors drive green growth have become hot topics. Environmental regulation and technological innovation are two main fulcrums in the realization of green growth. However, there is lacking a deeper understanding of the impact of environmental regulation and technological innovation on green growth in a methodological framework. Accordingly, this paper attempts to analyze how these factors affect the implementation of green growth in a model. The findings reveal that (1) in the short term, environmental regulation has inhibited green growth, but has a positive impact on green growth in the long run, (2) technological innovation plays a positive role in green growth improvement, and (3) the causality chain among regulation, technological innovation, and green growth is a typical mediation model. Technological innovation plays an important mediation role in the causal chain. This study not only enriches and deepens theories on green growth, but also successfully implements green growth practices and improve their performance.


2020 ◽  
Vol 48 (3) ◽  
pp. E4 ◽  
Author(s):  
Claire Karekezi ◽  
Abdeslam El Khamlichi ◽  
Abdessamad El Ouahabi ◽  
Najia El Abbadi ◽  
Semevo Alidegnon Ahokpossi ◽  
...  

OBJECTIVESub-Saharan Africa (SSA) represents 17% of the world’s land, 14% of the population, and 1% of the gross domestic product. Previous reports have indicated that 81/500 African neurosurgeons (16.2%) worked in SSA—i.e., 1 neurosurgeon per 6 million inhabitants. Over the past decades, efforts have been made to improve neurosurgery availability in SSA. In this study, the authors provide an update by means of the polling of neurosurgeons who trained in North Africa and went back to practice in SSA.METHODSNeurosurgeons who had full training at the World Federation of Neurosurgical Societies (WFNS) Rabat Training Center (RTC) over the past 16 years were polled with an 18-question survey focused on demographics, practice/case types, and operating room equipment availability.RESULTSData collected from all 21 (100%) WFNS RTC graduates showed that all neurosurgeons returned to work to SSA in 12 different countries, 90% working in low-income and 10% in lower-middle-income countries, defined by the World Bank as a Gross National Income per capita of ≤ US$995 and US$996–$3895, respectively. The cumulative population in the geographical areas in which they practice is 267 million, with a total of 102 neurosurgeons reported, resulting in 1 neurosurgeon per 2.62 million inhabitants. Upon return to SSA, WFNS RTC graduates were employed in public/private hospitals (62%), military hospitals (14.3%), academic centers (14.3%), and private practice (9.5%). The majority reported an even split between spine and cranial and between trauma and elective; 71% performed between 50 and more than 100 neurosurgical procedures/year. Equipment available varied across the cohort. A CT scanner was available to 86%, MRI to 38%, surgical microscope to 33%, endoscope to 19.1%, and neuronavigation to 0%. Three (14.3%) neurosurgeons had access to none of the above.CONCLUSIONSNeurosurgery availability in SSA has significantly improved over the past decade thanks to the dedication of senior African neurosurgeons, organizations, and volunteers who believed in forming the new neurosurgery generation in the same continent where they practice. Challenges include limited resources and the need to continue expanding efforts in local neurosurgery training and continuing medical education. Focus on affordable and low-maintenance technology is needed.


Author(s):  
Shutao Wang ◽  
Cui Huang

This study aimed to determine whether learning engagement plays a mediating effect on the relationship between family capital and students’ higher education gains in mainland China. We used family capital, learning engagement, and higher education gains as measures and analyzed data using a structural equation model. Data were collected from 1334 students at a Chinese university. The results show that family cultural capital had the most significant effect on students’ learning engagement, while economic capital also played a positive role, and social capital had no significant impact. Learning engagement played a mediating role in the relationship between cultural capital and higher education gains, as did the relationship between economic capital and higher education gains. However, learning engagement did not have a mediating effect on the relationship between social capital and higher education gains. Our results show that we should focus on the importance of students’ learning engagement, improve the cultural capital of disadvantaged groups, and provide financial support for students from low-income families.


2021 ◽  
pp. oemed-2020-107206
Author(s):  
Yan Ge ◽  
Shanshan He ◽  
Yan Xu ◽  
Weina Qu

ObjectiveTo explore the impact of the dietary patterns of truck drivers on their driving behaviours and the mediation effect of fatigue between these factors.MethodsA sample of 389 male truck drivers from a transport company in Suzhou, China completed the Food Frequency Questionnaire (FFQ), the Multidimensional Fatigue Inventory (MFI), the Positive Driver Behaviours Scale (PDBS) and the Driver Behaviour Questionnaire (DBQ). The associations among dietary patterns, fatigue and driving behaviour were examined using pathway analysis.ResultsFour dietary patterns were identified based on principal component analysis: animal-derived foods, staple foods, snacks and vegetables. The pathway analysis showed that the vegetable-rich pattern had a direct positive impact on positive driving behaviour (β=0.211, p<0.001); the animal-derived pattern had a direct positive impact on errors (β=0.094, p<0.05) and ordinary violations (β=0.071, p<0.05); the snacks pattern had a direct negative impact on positive driving behaviour (β=−0.191, p<0.001); fatigue mediated the effect of dietary patterns on driving behaviours (p<0.001); and the staple foods had an indirect effect on driving behaviours.ConclusionsOverall, the driving behaviours of truck drivers are correlated with their dietary patterns. Drivers who preferred vegetables and staple foods had more positive driving behaviour, while the animal-derived food and snack patterns were related to dangerous driving behaviour. The experience of fatigue could explained the underlying mechanism between these factors.


2022 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Cheng Lu ◽  
Zhencong Sang ◽  
Kun Song ◽  
Kazuo Kikuchi ◽  
Ippei Machida

PurposeBased on the theory of social identity mechanism, this study aimed to investigate the associations with millennial consumers' need for uniqueness (NFU), susceptibility to peer influence (SPI) and attitudes towards luxury brands (ALB) under the cross-cultural context. The mediating effect of fashion innovativeness (FI) and the moderating effect of culture were examined.Design/methodology/approachThe data for this study were collected through a survey from 217 millennials in Shanghai and 268 millennials in Tokyo. Moderation analysis and mediation analysis using Hayes PROCESS macro were applied to test proposed hypotheses.FindingsResults show that NFU and SPI have a significantly positive effect on millennials' ALB, and fashion innovativeness plays a mediating role in this process. Furthermore, the positive impact of NFU on millennials' ALB for relatively individualistic cities (Shanghai) is stronger than for relatively collectivist cities (Tokyo). The positive impact of susceptibility to informative influence (SII) on millennials' ALB for Tokyo is stronger than for Shanghai.Practical implicationsThe research results suggest how different cultures can support marketers in effectively carrying out their business strategy.Originality/valueUnder the cross-cultural background, the social identity mechanism behind the attitudes of millennials towards luxury brands has been widely recognised. However, little is known about how culture could moderate the social identity mechanism behind millennials' ALB. By analysing these mechanisms, this study compares the cultures of Shanghai and Tokyo and expands the previous research achievements.


2021 ◽  
Vol 7 (6) ◽  
pp. 5641-5655
Author(s):  
Ji Feng ◽  
Cheng Guiqing ◽  
Jia Xuedi ◽  
Luo Qubo ◽  
Wu Fan

Based on 234 survey data of 35 pilot demonstration enterprises in intelligent manufacturing, this paper tested the mediating role of supply chain flexibility in the process of big data capability affecting enterprise performance. The empirical results show that the foundation capability, application capability, and development capability all have a significant positive impact on enterprises performance. Big data foundation capability has a significant positive effect on the supply chain flexibility in terms of product flexibility, logistics flexibility and production flexibility, and it has no significant effect on purchasing flexibility and information flexibility. Both big data application capability and big data development capability have a positive effect on supply chain flexibility. In addition to purchasing flexibility, the other dimensions of supply chain flexibility and supply chain flexibility comprehensive factors all have a mediating effect on the relationship between big data capabilities and firm performance. The conclusions of this study have a positive enlightenment role for enterprises to develop big data capabilities and create a flexible supply chain to meet the needs of the market and customers.


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