scholarly journals Rice Production Determinants and Income Role for the Poverty Reduction in District Larkana, Pakistan

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.

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.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Liping Ding ◽  
Yin Shi ◽  
Chenchen He ◽  
Qiyao Dai ◽  
Zumeng Zhang ◽  
...  

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 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 used 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 has positive impact on beneficiaries’ satisfaction. In addition, 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 in other developing countries worldwide.


2018 ◽  
Vol 2 (1) ◽  
pp. 1-6
Author(s):  
Yogaprasta Adi Nugraha ◽  
Mariana R. A. Siregar

Rural area cannot be separated with poverty, according to Statistics Center Board (BPS), there are 18 milions rural people live below poverty line. Rural poverty has become many focus in development studies. There is a siginificant difference between rural poverty and urban poverty. Poor society in urban area are more vulnurable compared to poor society in rural area. In rural area, poor people tends to have informal social security that helps them to survive. This research aimed to determine the role of loan institution in providing social safety net for rural poor. Qualitative method was used to help us to have a better understanding about the debt institution in rural areas. This research found that rural poor have several alternatives source of debt that enable them to survive in a vulnerable situation. Most of people tend to see for a realistic loan institution with low interest (without interest is more preferable), low risk in returning the debt and fast in providing the money.


2021 ◽  
pp. 58-60
Author(s):  
T. Indumathi ◽  
G. Savaraiah

The World Bank's Andhra Pradesh Rural Poverty Reduction Project supports the self helf groups of the women members. It promotes women's social, economic, legal and political empowerment to reduce poverty among the poor and the poorest of the poor. The important object of this article is to examine the impact of micronance on the socio economic empowerment of the rural women supported by the national reputed NGO- Rashtriya Seva Samithi (RASS). 184 women members of the SHGs promoted by Rasthriya Seva Samathi (RASS) an NGO which located in Tirupati town. 184 samples are selected randomly from 15 SHGs scattered throughout the Tirupati rural mandal (Taluk) from the area of the study have been considered to conduct the present research study. The study reveals that 87.71 percent of the sample women were below the poverty line before joining the SHGs. As a result of SHG, about 40 percent of the sample women crossed the poverty line. The highest intensive value indicates that more women have participated in social agitations for the welfare of the children and the society. The second highest intensity reveals that considerable numbers of women of SHGs have participated in the government sponsored schemes. The 1st point secured 3rd rank with total intensity value of 605 which status that the micro credit has resulted in increased social status and empowerment.


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.


2017 ◽  
Vol 15 (1) ◽  
pp. 87-94 ◽  
Author(s):  
L Mozumdar ◽  
KS Farid ◽  
PK Sarma

Social capital has been projected as a key resource in entrepreneurial success. While the association between successful business activity by rural women and their ability in building social capital is often seen as a pathway of poverty reduction, a thorough understanding of the relevance of social capital in women’s business performance could have crucial insights into ways for alleviating rural poverty in developing countries. Nonetheless, the relevance of social capital in women’s business performance has hardly studied in the specific context of Bangladesh. The present review is undertaken to fill this information gap. Social capital has positive impact on gaining legitimacy, building mutual trust and co-operation in women’s business. Besides, women enterprises with enhanced social capital are found to possess better access to other forms of capital. The review shows the importance of external actors such as microfinance institutions in developing social capital of women enterprises in Bangladesh. Alongside microfinance, regulative factors such as different rules and regulations of the government can positively facilitate women entrepreneurship development in rural Bangladesh.J. Bangladesh Agril. Univ. 15(1): 87-94, January 2017


2021 ◽  
Vol 9 (1) ◽  
pp. 01-16
Author(s):  
Iram Rani ◽  
Minhoon Khan Laghari ◽  
Muhammad Asif Channa

Purpose: This Study intends the assessment of microloan by U Microfinance Bank from females of upper Sindh. The core objective was to assess the impact of U-Microfinance on the poverty level of female for improving their living standards by providing them micro-loans to be used for their small-scale business which could enable them to be empowered politically, socially, economically, and assessing its impacts on the health and education of their families. Methodology: This study was conducted on the assessment of microloan interventions of U Microfinance Bank in the rural areas of upper Sindh. A quantitative approach was used to measure the impact of microloan on the poverty status of the female along with a qualitative study to further confirm the findings. In this study, a quasi-experimental design was used in which two groups of data from the same respondents assuming the data ‘Before-loan and After-Loan Situation’ from the female borrowers of Khairpur, Sukkur, Shikarpur, Larkana, and Dadu Districts of Upper Sindh. Poverty Score Card was used as a survey instrument originally developed by the World Bank for each region separately. The collected data were analyzed by applying the descriptive statistics and logistic regression technique by using SPSS latest version. Results: Results of the logistic regression analysis demonstrate that the microloan program does empower females of targeted cities, but the empowerment process does not necessarily occur simultaneously across all dimensions. Whereas microfinance does effect individually on each dimension of empowerment. For microfinance ventures, the results suggest that occupation types have a positive impact on women's empowerment. Applications of this study: This study can be very effective in improving the strategies for poverty reduction among the female borrowers of the upper Sindh. The Novelty of the study: The novelty of this study investigating the effect of poverty reduction strategies on female empowerment.


2017 ◽  
Vol 22 (2) ◽  
pp. 139-163
Author(s):  
Muhammad Idrees

Most of the earlier literature on poverty in Pakistan uses a single poverty line for the whole country or, at most, relies on a rural-urban divide. This segmentation fails to incorporate differences across provinces. This study estimates different poverty lines for the rural and urban segments of each province and region. Its estimated food, nonfood and overall poverty lines show that, with the exception of the capital territory of Islamabad, the urban poverty line is higher in all regions. The estimates of poverty show that, with the exception of Islamabad Capital Territory, rural poverty is much higher than urban poverty in all regions. We find that 25 percent of urban households and nearly 37 percent of rural households fall below the poverty lines we have defined. The study also finds that poverty measured in terms of households ignores household size and thus suppresses poverty figures.


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