scholarly journals Does the Accessibility of Regional Internal and External Traffic Play the Same Role in Achieving Anti-Poverty Goals?

Land ◽  
2022 ◽  
Vol 11 (1) ◽  
pp. 90
Author(s):  
Dazhi Yang ◽  
Wei Song

Traffic development can promote the flow of goods and people, which has long been widely considered to have a poverty reduction effect but, in fact, is not unbreakable. The development of traffic is similar to economic and social development, with internal and external characteristics, but few studies have explored the differences between the effects of their poverty reduction. Taking the land traffic of the Chengdu-Chongqing Economic Zone (CCEZ) as an example, this paper represents traffic accessibility at a county level by relying on the average internal and external travel times. Rural poverty was identified by the pentagon of livelihoods to measure the Multidimensional Development Index (MDI). Furthermore, a Geographically Weighted Regression (GWR) model was used to explore the relationship and spatial differentiation characteristics between county traffic accessibility and poverty. The results show that the traffic accessibility of the counties in the CCEZ was quite different. The average internal travel time was between 0.16 and 7 h, and the average external travel time was between 4.2 and 10.6 h. The radiation gradient structure centered on Chengdu municipal districts and the Chongqing main urban area, and the accessibility level needed to be improved. Furthermore, the MDI values of each county in the CCEZ showed the structural characteristics of “large bottom and small top”; additionally, the higher the high-value group of MDI, the stronger the spatial aggregation and the more obvious the characteristics of regional differentiation. Finally, the relationship between traffic accessibility and poverty in counties cannot be generalized. The improvement of external traffic accessibility obviously helped to improve the poverty situation in the CCEZ; the improvement of internal traffic accessibility had a multidimensional impact, but it was mainly due to the occupation or spillover of livelihood capital in rural areas; counties accounting for 82.74% would even reduce the MDI and, thus, aggravate poverty.

2020 ◽  
Vol 1 (9) ◽  
pp. 142-154
Author(s):  
A. A. INSHAKOV ◽  

Abstract: All over the world, cooperatives have made a significant contribution to sustainable economic development and ensuring stability in the labor market. Cooperatives are owned, managed and served by their members, which allows them to effectively solve economic problems, develop social and human capital, and, at the same time, encourages people to cooperate and help each other. The article is devoted to the definition of the role of cooperative enterprises in the problem of poverty reduction in rural areas. Theoretical views of scientists on the possibilities of cooperative enterprises in solving the problem of rural poverty are considered. The relationship between rural entrepreneurship and poverty is shown. The role of farming in reducing poverty in developing countries is evaluated. Data from surveys of rural residents and representatives of small businesses in foreign countries show that overcoming poverty is impossible without the development of rural infrastructure and a comprehensive state policy. Methods of poverty reduction and successful cooperation practices in China are considered. Using the example of energy cooperatives in the United States and European countries, the possibilities of cooperation in rural electrification were shown.


JEJAK ◽  
2020 ◽  
Vol 13 (1) ◽  
pp. 69-83
Author(s):  
Muhammad Amir Arham ◽  
Ahmad Fadhli ◽  
Sri Indriyani Dai

Agriculture is the primary sector in many provinces in Indonesia. In fact, most of the rural communities work in the agricultural sector. Nevertheless, the poverty level in rural areas remains high. Therefore, this study was aimed at investigating the performance of the agricultural sector in reducing the rural poverty level in Indonesia, and to investigate factors that contribute as a determinant in reducing rural poverty level in Indonesia. This study was significant, considering that the result was to contribute to government policy evaluation in the agricultural sector, especially in reducing poverty in rural areas. This study used quantitative analysis through multiple regressions with data panel from 2014 to 2017 from 33 provinces in Indonesia. This study revealed that the increase of agricultural sector share and the widening of the income distribution had caused an increase in poor people in a rural area. This finding also revealed that the income distribution gap was a determinant to the severity of rural poverty. The growth in the agricultural sector to contribute toward the economy could reduce rural poverty level in Indonesia. Meanwhile, agricultural financing, economic growth, inflation, and the farmer exchange rate had not significantly contributed to reducing the poverty level.


Author(s):  
Maretha Berlianantiya Muhammad Ridwan Eka Wardani

<p><em>Poverty often occurs in rural areas rather than urban areas, low education which results in low quality of human resources and lack of access is often the cause of rural poverty. In addition, most of the economies of rural communities rely solely on the traditional agricultural sector. Various poverty reduction policies have been implemented, including village fund policies. This study aims to examine the management of village funds in the Balong sub-district of Madiun Regency with a case study in the villages of Tatung and Karangmojo villages covering the management of village funds in Tatung village and Karangmojo village. Balong Subdistrict and the impact of empowerment in the villages of Tatung and Karangmojo, Balong District. This research was conducted in Balong Subdistrict, Ponorogo Regency with a Case study in Tatung Village and Karangmojo Village with qualitative methods. In the village of Tatung village funds are managed as tourist villages with a focus on Paragliding tourist rides. Whereas in Karangmojo village it is used for Bumdes in the form of Lovebird birds, providing Gapoktan assistance, and infrastructure development.</em></p>


Author(s):  
Fang Cheng ◽  
Haisen Zhang ◽  
Nobeji S. Boniphace

Off-farm employment in rural areas can be a major contributor to rural poverty reduction and decent rural employment. While women are highly active in the agricultural sector, they are less active than men in off-farm employment. This study analyzes the determinants of participation in off-farm employment of women in rural Uganda. The study is based on a field survey conducted in nine districts with the sample size of 1200 individual females. A two-stage Hechman’s sample selection model was applied to capture women’s decision to participate and the level of participation in non-farm economic activities. Summary statistics of the survey data from rural Uganda shows that: i) poverty and non-farm employment has a strong correlation, implying the importance of non-farm employment as a means for poverty reduction; and ii) there is a large gender gap to access non-farm employment, but the gender gap has been significantly reduced from group of older age to younger generation. The econometric results finds that the following factors have a significant influence on women’s participation in off-farm employment: education level of both the individual and household head (positive in both stages); women’s age (negative in both stages); female-headed household (negative in first stage); household head of polygamous marriage (negative in both stages); distance from major town (negative in the first stage); household size (positive in the second stage); dependency ratio (negative in the second stage); access to and use of government extension services (positive in the first stage); access to and use of an agricultural loan (negative in the second stage); and various district dummies variables. The implications of these findings suggest that those policies aimed at enhancing the identified determinants of women off-farm employment can promote income-generating opportunities for women groups in comparable contexts. In order to capitalize on these positive linkages, policies should be designed to improve skills and knowledge by providing education opportunities and increasing access to employment training, assistance services and loans for non-farm activities and by targeting women in female-headed, large and distant households. The government should increase investments in public infrastructure and services, such as roads, telecommunications and emergency support.


PLoS ONE ◽  
2021 ◽  
Vol 16 (12) ◽  
pp. e0261214
Author(s):  
Boou Chen ◽  
Chunkai Zhao

As digital finance is widely spread and applied in China, this new format of financial technology could become a new way to reduce poverty in rural areas. By matching digital financial indexes of the prefectural-level cities with microdata on rural households from the China Household Finance Survey (CHFS) in 2017, we find that digital finance significantly suppresses absolute poverty and relative poverty among rural households in China, which is supported by a series of robustness tests, such as the instrumental variable approach, using alternative specifications, and excluding extreme observations. Additionally, we provide evidence that the poverty reduction effect of digital finance is likely to be explained by alleviating credit constraints and information constraints, broadening social networks, and promoting entrepreneurship. Our findings further complement the research field on financial poverty reduction and offer insights for the development of public financial policies of poverty reduction in other countries, especially in some developing countries.


2018 ◽  
Vol 10 (4) ◽  
pp. 683-694
Author(s):  
Jun Wang ◽  
Yong Hu

PurposeThe purpose of this paper is to investigate how trade liberalization influences rural poverty reduction in China.Design/methodology/approachThe authors make use of China Family Panel Studies survey data, take annual income of farmers of RMB2,300 and RMB3,450 as the poverty lines (poverty line 1 and poverty line 2, respectively). Residents below poverty line 1 and poverty line 2 are 2,580 and 2,661, respectively. Probit model is used to estimate the impact of trade liberalization on the poverty probability. Income-deciding equation is used to estimate the impact of trade liberalization on the income level of poor residents in rural areas. Income-deciding equation is also used to examine the transmission mechanism of trade liberalization affecting rural poverty.FindingsThis study finds that trade liberalization can reduce the poverty probability of rural residents and promote the income growth of poor residents in rural areas. Trade liberalization increases the income of poor residents and reduces poverty through transmission mechanisms such as promoting economic growth and financial expenditure.Originality/valueTo the authors’ knowledge, this is the first empirical study to quantitatively model the impact of trade liberalization on rural poverty reduction in China using residents’ survey data.


Author(s):  
Azad Ali Khatyan ◽  
Prof. Dr. Muhammad Saleem Rahpoto ◽  
Dr. Ghulam Muhammad Mangnejo

Poverty is a chronic problem in Pakistan. More than 25 percent of the population is still living below the poverty line. In Pakistan, rural poverty is more than urban poverty. More than 65 percent of the population is living in rural areas. They depend on farming. The purpose of this study was to determine the variables for the more production of rice crops which will increase the income of farmers and it will reduce the poverty from the farmers. The study calculated the average household income of the farmers. The area of this study was District Larkana. A Stratified sample technique was used for the sample from the four Taluka, a sample size of 100 farmers were selected. The data were analyzed by using the cobb-Douglas production function in the log transform method. Demographic results showed that farmers are less educated. The family size was mostly large and they are experienced. The average incomes of the farmers were 53960. The results of the regression revealed that model data is valid with Cronbach's alpha 0.69. Adjusted R-square 0.91 shows good variation due to selected variables. The model is significant at 0.000 values. All variables plow, fertilizer, seed Pest, Labor, Education, and experiences have a positive impact on rice production which is important for farmers’ income.


2020 ◽  
Vol 5 (1) ◽  
pp. 72-90
Author(s):  
Nicholas Awuse ◽  
Patrick Tadoh Offi ◽  
Amevi Acakpovi

Nowadays, policymakers and researchers are discussing the relationship between internal migrations on poverty reduction. The uneven economic developments in Ghana these days, among others, have made the essential towns a des tination for internal migrants from other areas of the country. This study examines internal migration that acts as a way o ut of area poverty where conservative strategies on poverty reduction have failed to draw on empirical evidence on Ghana's civil movement. It is also examining how internal migration leads to economic development in rural areas. For the migrants a proportionate sample size of 680 used. Snowball sampling utilized for population selection (migrants) Gathered data from six regions and 38 districts in Ghana.It was analysed using questionnaires and interviews using versi on 22 of the Social Sciences Statistical Package (SPSS). The research also used statistical methods such as multinomial re gression, Spearman rank analysis of correlation, and ordinal model regression. Internal migration has a positive effect on poverty alleviation in Ghana bringing good drinking water supplies, electricity expansion, sanitation facilities, improved incomes, better healthcare, better nutrition, savings and investment opportunities to migrants, their families and communities among others. In order to maximize the effect of internal migration, the study recommended policy, theoretical and practical interventions on poverty reduction in Ghana


2021 ◽  
Author(s):  
Liping Ding ◽  
Yin Shi ◽  
Qiyao Dai ◽  
Zumeng Zhang ◽  
Jiaxin Li ◽  
...  

Abstract Background: Photovoltaic Poverty Alleviation Projects (PPAPs) have been implemented in Chinese rural areas since 2014. As a new energy policy, PPAPs have played an important role in alleviating rural poverty. However, the adoption of solar PV faces multiple barriers from the perspective of beneficiaries. Therefore, this study basically aims to discuss and analyze factors affecting beneficiaries’ satisfaction and their trust in State Grid, promoting the adoption of solar PV. Methods: Based on the integrated American Customer Satisfaction Index (ACSI) and Unified Theory of Acception and Use of Technology (UTAUT) model, this study uses the Structural Equation Model (SEM) to reveal how the beneficiaries’ satisfaction enhance their trust in State Grid. The data were obtained from a survey of 928 PPAPs’ beneficiaries by stratified and random sampling in Chinese rural areas. Results: The results confirm that environmental perception in this study positively impacts on beneficiaries’ satisfaction. And perceived quality also has a positive effect on beneficiaries’ satisfaction and trust in State Grid, however, social influence has a negative impact on beneficiaries’ satisfaction; behavior expectation can directly promote beneficiaries’ satisfaction, while indirectly propel their trust in State Grid. Conclusions: This study constructs an integrated customer satisfaction model from the perspective of beneficiaries and proposes relevant measures to promote the adoption of solar PV that can be applied to poverty reduction of other developing countries worldwide.


Afrika Focus ◽  
2015 ◽  
Vol 28 (2) ◽  
Author(s):  
Romain Kana ◽  
Norbert Sonne ◽  
Barthelemy Ondua ◽  
Patrick Tadjo ◽  
Benjamin Ondo

Since 1997, the year the first community forest in Cameroon was created, sawn wood from community forests has been facing difficulties to find a place in an expanding domestic market. The low competitiveness of community forest products is among the major obstacles to have them help reduce rural poverty as desired in the new forest policies in Central Africa. This article, from the work of the World Wide Fund for Nature team and organizations partners, identifies the factors explaining the low competitiveness of community forests in the domestic market and proposes by way of conclusion some strategies whose implementation will allow community forestry to play its full role in the supply of domestic markets, improving sustainable management of the agroforestry landscape and fostering poverty reduction in rural areas. Key words: wood value chain, artisanal logging, forest policy, community forests 


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