Preparation determinants for migration to rural areas in Japan: empirical analysis using questionnaire data

Author(s):  
Etsusaku Shimada ◽  
Tomoko Kinugasa
2021 ◽  
Vol 275 ◽  
pp. 01012
Author(s):  
Haiyan Ye ◽  
Shiwan Yu

In the context of global economic innovation and low-carbon development, Rural Development is bound to take the road of rejuvenation, The core of the road of rejuvenation is the rejuvenation of talents, The key to the rejuvenation of talents is how to bring back talents. This paper studied the status and causes of brain drain in Village B, County A through data statistics and interview data organization based on an empirical analysis of the questionnaire data of its brain drain, and analyzed the problem of brain drain in the village in terms of the family structure, the construction of infrastructure, guiding policies of the government and the gap between urban and rural economic incomes, thus identifying factors which restrict rural talent revitalization. The study has found that the small number of jobs provided by the government, insufficient functioning of the Party and the government and the neglect of rural talent market planning and construction are the three main causes of brain drain.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Pattanapong Tiwasing ◽  
Sukanlaya Sawang

PurposeLocal Chambers of Commerce networks provide small- and medium-sized enterprises (SMEs) with an opportunity to access essential information and networking with other businesses, resulting in improved business performance. However, rural SMEs are less likely to participate in these networks and often possess lower performance. This paper aims to examine the relationship between being members of local Chambers of Commerce networks and rural SMEs’ performance by comparing business performance between rural SMEs who are members and non-members of local Chambers of Commerce networks. This paper also further explores difference in business growth plans between rural SMEs members and non-members.Design/methodology/approachThe empirical analysis draws on cross-sectional data of 3,769 rural SMEs in England and Wales from the UK's Government Longitudinal Small Business Survey 2015. Propensity score matching (PSM) is applied to control for selection bias and variations in business characteristics before comparing business performance, measured in terms of annual turnover, sale growth and profitability, between rural SMEs that are members and non-members of local Chambers of Commerce networks.FindingsOur results show that rural SME members of local Chambers of Commerce networks are more likely to grow their sales than non-members. However, they perform as good as non-members in terms of turnover and profitability. The results also emphasise that local Chambers of Commerce networks are crucial for rural SMEs to develop the skills of the workforce and leadership capability of managers, new product/service development and new working practices. Therefore, to enhance rural SMEs' performance, tailoring the services of local Chambers of Commerce to support rural businesses' needs and encouraging rural SMEs to make use of business networks are recommended.Practical implicationsThe paper unpacks the relationships between being local Chamber of Commerce membership and business performance, offering lessons for rural SMEs to boost their business performance and growth through participating in local business association networks.Originality/valueThis paper is the first study that explores the comparative analysis of business performance and growth plans between rural SMEs that are members and non-members of the local Chamber of Commerce networks. We provide an empirical evidence-based analysis to existing literature regarding the advantages of being local Chamber of Commerce memberships to enhance business performance in rural areas.


2021 ◽  
Vol 3 (2) ◽  
Author(s):  
Adnan Khalil ◽  
Shahid Bashir ◽  
Morad Yaser Al Mostafa

Worldwide, malnutrition is the severe most health problem leading to the highest rate of disease andmortality among children less than 5 years of age. Objective: To find out the association betweenmalnutrition and demographic profile. Methods: 350 malnourished children were chosen by nonprobabilityconvenient sampling technique from Sir Ganga Ram Hospital, Lahore. Children wereassessed through pre-tested questionnaire. Data were analyzed by SPSS version 21.0. Results: 45%malnourished children were 1-3 years of age, majority of the children were females (52%), 89% childrenwere from rural areas, 82.6% children were from low socioeconomic status, 54.6% mothers wereuneducated, 50% malnourished children were not having their own house, 115 malnourished childrenwere having 3 or more siblings and 89 mothers were having less than one year of pregnancy gap.Conclusions: Low socioeconomic status, illiteracy of mothers, rural area, gap between pregnancy andfemale gender has been found to be linked with malnutrition in children below 5 years of age.


Author(s):  
Yao Li

With the rise of the tertiary industry, the financial industry has achieved unprecedented development, which is mainly reflected in the rapid growth of economic aggregate, the increasingly balanced financial structure system and the increasingly diversified financial products. However, with the rapid development of financial industry, the income of urban and rural residents is increasingly unbalanced. The increasing income gap between urban and rural areas has caused a large number of adverse phenomena in the process of economic development, seriously affecting the income distribution of the people and even causing social instability. Therefore, in today’s big data era, it is necessary to systematically study and analyze the impact of financial industry development on the national income gap between urban and rural areas. At the same time, it is of great significance to improve the problem of excessive income gap between urban and rural areas. This paper mainly analyses the relationship between the three effects of the development of financial industry and the income gap between urban and rural residents. In the empirical aspect, the paper creatively uses the fuzzy Kmeans clustering algorithm to regression analysis the panel data of a certain area from 2010 to 2018. At the same time, in the empirical data analysis, this paper creatively replaces the European norm measure of the Kmeans clustering algorithm with the AE measure, and puts forward a proposal. The index of financial development level is based on the proportion of loans from financial institutions. Through theoretical and empirical analysis, this paper draws the following conclusions: the financial scale in the financial industry will have a huge impact on the income gap between urban and rural areas. Finally, based on the above problems and current situation, this paper puts forward relevant improvement suggestions.


2015 ◽  
Vol 10 (1) ◽  
pp. 4-22 ◽  
Author(s):  
Marcello De Rosa ◽  
Gerard McElwee

Purpose – The purpose of the paper is to provide an analysis of the adoption of Rural Development Policies (Rdp) as the result of entrepreneurial behaviours carried out by family farms with a focus on the Lazio Region of Italy. Family farming is the backbone of the European model of agriculture. Rdp provide family farms with a set of opportunities which, if well exploited, could drum up farm’s development. Design/methodology/approach – An empirical analysis of a data base provided by the Lazion region of Italy on the adoption of Rdp by family farms in the Lazio region for the period of 2007-2013. Cluster analysis is the main analytical tool used. Findings – The results evidence significant differences in the adoption of rural policy on the basis of family life cycle and the composition of the family farm. The empirical analysis underlines the low degree of coherence by farms located in rural areas. Practical implications – Farmers’ success in accessing funds requires them to be proactive and take a strategic perspective to convince funders that they have a coherent strategy which meets the requirements of the particular Rdp which they are trying to access. Social implications – In terms of policy, a more nuanced understanding of the entrepreneurial nature of some practices in a rural setting and how they require multi-agency investigation. Originality/value – The paper is unique, in that it considers the consumption of policy by farmers who are entrepreneurial in their vision. By consumption of Rdp, we mean the farmer’s strategic capability to obtain funds from regional funding pots for rural development.


Agronomy ◽  
2021 ◽  
Vol 11 (9) ◽  
pp. 1882
Author(s):  
Hazem S. Kassem ◽  
Mohamed A. Hussein ◽  
Hamed Ismail

The growth of fraudulent pesticide trade has become a threat to farmers’ health, agrochemical businesses, and agricultural sustainability, as well as to the environment. However, assessment of the levels of farmers’ exposure to fraudulent pesticides in the literature is often limited. This paper conducted a quantitative study of farmers’ recognition and purchasing behaviors with regard to fraudulent pesticides in the Dakhalia governorate of Egypt. Using a structured questionnaire, data were collected by face-to-face interviews with 368 farmers in three districts of the governorate. The questionnaire included questions on socioeconomic characteristics, risk perception, recognition behavior, and purchasing behavior regarding fraudulent pesticides. The findings indicate that farmers perceived high risks to farmer health and crop yield (a score of 4 out of 5) and a moderate risk to the environment (3.5 out of 5) from fraudulent pesticides. Nonetheless, nearly three-fourths of the farmers had purchased fraudulent pesticides anyway. The statistical analysis suggests that farmers who resist purchasing fraudulent pesticides have higher education, longer experience in farming, and better recognition of fraudulent pesticides. To improve farmers’ ability to distinguish and avoid fraudulent pesticides, the paper recommends communication-related anti-counterfeiting measures such as awareness extension programs, as well as distribution measures in cooperation with other stakeholders.


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