scholarly journals The Impact of Program Participation on Rural Household Income: Evidence from China’s Whole Village Poverty Alleviation Program

2019 ◽  
Vol 11 (6) ◽  
pp. 1545 ◽  
Author(s):  
Junying Lin ◽  
Zhonggen Zhang ◽  
Lingli Lv
Keyword(s):  
Propensity Score ◽  
Propensity Score Matching ◽  
Household Income ◽  
Poverty Alleviation ◽  
Household Head ◽  
The Political ◽  
Program Participation ◽  
Household Data ◽  
The Poor ◽  
The Impact

Villagers’ participation in poverty alleviation programs has received considerable attention, especially with regard to the poor. However, not much is known about the welfare effect of villagers’ program participation. This paper analyzes the impact of villagers’ program participation on their incomes. We used household data from 529 villagers in China’s Whole Village Poverty Alleviation Program. We focused on two types of program participation—discussion and voting. Using the propensity score matching approach, we estimate the impact of rural households’ program participation on their income. The results show that the education and the political career of the household head determine program participation. Households participating in discussion and voting have a positive and significant effect on household income. Richer households benefit more from the program. However, the poor receive less benefits. We conclude that broadening villager’s participation can boost the effectiveness of China’s poverty alleviation program.

scholarly journals Adoption of improved agricultural technology and its impact on household income: a propensity score matching estimation in eastern Ethiopia

2021 ◽  
Vol 10 (1) ◽  
Author(s):  
Muluken G. Wordofa ◽  
Jemal Y. Hassen ◽  
Getachew S. Endris ◽  
Chanyalew S. Aweke ◽  
Dereje K. Moges ◽  
...  
Keyword(s):  
Propensity Score ◽  
Propensity Score Matching ◽  
Technology Use ◽  
Household Income ◽  
Agricultural Technology ◽  
Primary Data ◽  
Farm Income ◽  
Agricultural Technologies ◽  
Eastern Ethiopia ◽  
The Impact

Abstract Background Adoption of improved agricultural technologies remains to be a promising strategy to achieve food security and poverty reduction in many developing countries. However, there are limited rigorous impact evaluations on the contributions of such technologies on household welfare. This paper investigates the impact of improved agricultural technology use on farm household income in eastern Ethiopia. Methods Primary data for the study was obtained from a random sample of 248 rural households, 119 of which are improved technology users and the rest are non-users. The research employed the Propensity Score Matching (PSM) procedure to establish the causal relationship between adoption of improved crop and livestock technologies and changes in farm income. Results Results from the econometric analysis show that households using improved agricultural technologies had, on average, 23,031.28 Birr (Birr is the official currency of Ethiopia. The exchange rate according to the National Bank of Ethiopia (NBE) was 1 USD = 27.6017 Birr on 04 October 2018.) higher annual farm income compared to those households not using such technologies. Our findings highlight the importance of promoting multiple and complementary agricultural technologies among rural smallholders. Conclusions We suggest that rural technology generation, dissemination and adoption interventions be strengthened. Moreover, the linkage among research, extension, universities and farmers needs to be enhanced through facilitating a multistakeholders innovation platforms.

scholarly journals Impact Evaluation of Raskin Program using Matching Method: Case of IFLS 5

JEJAK ◽  
2018 ◽  
Vol 11 (1) ◽  
pp. 207-223
Author(s):  
Endiarjati Dewandaru Sadono
Keyword(s):  
Propensity Score ◽  
Propensity Score Matching ◽  
Family Life ◽  
Household Income ◽  
Impact Evaluation ◽  
Matching Method ◽  
Indonesia Family Life Survey ◽  
Small Benefit ◽  
Using Data ◽  
The Impact

Beras untuk Keluarga Miskin (RASKIN) program has been applied since 1998 and has been renamed as Beras Sejahtera (RASTRA) in early 2017, but their effectiveness is still debatable. This study tries to evaluate the impact of RASKIN program on household income. Using data from 3,745 households in Indonesia Family Life Survey (IFLS) 5 that has been estimated using propensity score matching, this study has identified precisely that RASKIN program has a negative and significant effect on household income. This happens because the benefits that reveived by Rumah Tangga Sasaran (RTS) are very small. The small benefit is affected by the amount of rice received, frequency and price that have been paid to get RASKIN is not in accordance with the guidelines. The result of this study is along with previous studies, where the amount and price of rice that distributed through RASKIN program is not exactly correct. Therefore, there must be a change in program format, not just renaming from RASKIN to RASTRA only.

scholarly journals Urban Farm-Nonfarm Diversification, Household Income and Food Expenditure in Ghana

2017 ◽  
Vol 12 (2) ◽  
pp. 6-19 ◽  
Author(s):  
Samuel Ampaw ◽  
Edward Nketiah-Amponsah ◽  
Bernardin Senadza
Keyword(s):  
Propensity Score ◽  
Food Insecurity ◽  
Selection Bias ◽  
Household Income ◽  
Agricultural Land ◽  
Household Head ◽  
Urban Households ◽  
Urban Farm ◽  
Food Expenditure ◽  
The Impact

Abstract This paper investigates the impact of farm-nonfarm diversification (FND) on household income and food expenditure in urban Ghana using propensity score matching (PSM) technique to account for potential selection bias. We find diversified households to be statistically different from undiversified households in terms of household characteristics. Age, gender, educational attainment of the household head, household size, ownership of livestock and agricultural land, and receipt of miscellaneous and rent incomes are positive and significant determinants of FND in urban Ghana. In addition, we find that participation in both farm and nonfarm activities positively and significantly impacts household income and food expenditure. In the light of growing urbanization, with its implications for unemployment, poverty and food insecurity, we recommend diversification among urban households as a means of smoothing income and consumption.

scholarly journals Estimating the Impact of Poverty Alleviation Microcredit on the Income of Poor Households Using the Propensity Score Matching Method: Evidence from China

Agriculture ◽  
2020 ◽  
Vol 10 (7) ◽  
pp. 293
Author(s):  
Jie Yu ◽  
Xiao Han ◽  
Baozhen Chen ◽  
Jinzheng Ren
Keyword(s):  
Propensity Score ◽  
Propensity Score Matching ◽  
Agricultural Production ◽  
Poverty Alleviation ◽  
Empirical Test ◽  
Matching Method ◽  
Poor Households ◽  
Method Evidence ◽  
Implementation Effect ◽  
The Impact

The poverty alleviation microcredit policy is an important financial poverty alleviation policy that has been widely implemented in China in recent years. However, whether this policy can effectively increase the income of poor households is controversial. In order to measure the implementation effect of the policy, we analyzed the mechanism of the poverty alleviation microcredit on the income of poor households. Then, the paper used micro-survey data to conduct an empirical test using the propensity score matching method to study its effect on the production income of these poor households. The results show that the poverty alleviation microcredit positively affects the production income of poor households, including those who are poor due to lack of funds and poor households with female heads. Therefore, we should continue to implement the poverty alleviation microcredit policy, and establish relevant supporting measures, such as strengthening agricultural production capital subsidies, increasing agricultural production insurance, further improving the implementation efficiency of the poverty alleviation microcredit policy, and increasing the income of poor households.

Impact of Improved Agricultural Technology Use on Household Income in Eastern Ethiopia: Empirical Evidence from a Propensity Score Matching Estimation

2021 ◽  
pp. 232102492110076
Author(s):  
Muluken G. Wordofa ◽  
Jemal Y. Hassen ◽  
Getachew S. Endris ◽  
Chanyalew S. Aweke ◽  
Dereje K. Moges ◽  
...  
Keyword(s):  
Propensity Score ◽  
Propensity Score Matching ◽  
Technology Use ◽  
Household Income ◽  
Agricultural Technology ◽  
Primary Data ◽  
Farm Income ◽  
Agricultural Technologies ◽  
Eastern Ethiopia ◽  
The Impact

This article investigates the impact of improved agricultural technology use on farm household income in eastern Ethiopia. Primary data for the study were obtained from a random sample of 248 rural households, 119 of which are improved technology users and the rest are non-users. The research employed the propensity score matching procedure to establish the causal relationship between adoption of improved crop and livestock technologies and changes in farm income. Results from the econometric analysis show that households using improved agricultural technologies had, on average, 23,031.28 Birr1 higher annual farm income compared to those households not using such technologies. Our findings highlight the importance of promoting multiple and complementary agricultural technologies among rural smallholders. Therefore, we suggest that rural technology generation, dissemination and adoption interventions be strengthened. Moreover, the linkage among research, extension, universities and farmers needs to be enhanced through facilitating multistakeholder innovation platforms.

scholarly journals Impact of Multidisciplinary Stroke Post-Acute Care on Cost and Functional Status: A Prospective Study Based on Propensity Score Matching

2021 ◽  
Vol 11 (2) ◽  
pp. 161
Author(s):  
Chong-Chi Chiu ◽  
Jhi-Joung Wang ◽  
Chao-Ming Hung ◽  
Hsiu-Fen Lin ◽  
Hong-Hsi Hsien ◽  
...  
Keyword(s):  
Propensity Score ◽  
Functional Status ◽  
Propensity Score Matching ◽  
Acute Care ◽  
Medical Cost ◽  
Economic Burden ◽  
Stroke Rehabilitation ◽  
Stroke Patients ◽  
The Impact ◽  
Post Acute Care

Few papers discuss how the economic burden of patients with stroke receiving rehabilitation courses is related to post-acute care (PAC) programs. This is the first study to explore the economic burden of stroke patients receiving PAC rehabilitation and to evaluate the impact of multidisciplinary PAC programs on cost and functional status simultaneously. A total of 910 patients with stroke between March 2014 and October 2018 were separated into a PAC group (at two medical centers) and a non-PAC group (at three regional hospitals and one district hospital) by using propensity score matching (1:1). A cost–illness approach was employed to identify the cost categories for analysis in this study according to various perspectives. Total direct medical cost in the per-diem-based PAC cohort was statistically lower than that in the fee-for-service-based non-PAC cohort (p < 0.001) and annual per-patient economic burden of stroke patients receiving PAC rehabilitation is approximately US $354.3 million (in 2019, NT $30.5 = US $1). Additionally, the PAC cohort had statistical improvement in functional status vis-à-vis the non-PAC cohort and total score of each functional status before rehabilitation and was also statistically significant with its total score after one-year rehabilitation training (p < 0.001). Early stroke rehabilitation is important for restoring health, confidence, and safe-care abilities in these patients. Compared to the current stroke rehabilitation system, PAC rehabilitation shortened the waiting time for transfer to the rehabilitation ward and it was indicated as an efficient policy for treatment of stroke in saving medical cost and improving functional status.

Was it worth it? The impact of the German minimum wage on union membership of employees

2021 ◽  
pp. 0143831X2110358
Author(s):  
Simon Ress ◽  
Florian Spohr
Keyword(s):  
Propensity Score ◽  
Social Security ◽  
Labour Market ◽  
Propensity Score Matching ◽  
Minimum Wage ◽  
Trade Union ◽  
Union Membership ◽  
Difference In Differences ◽  
German Trade ◽  
The Impact

This contribution scrutinises how introducing a statutory minimum wage of EUR 8.50 per hour, in January 2015, impacted German employees’ decision with regard to union membership. Based on representative data from the Labour Market and Social Security panel, the study applies a logistic difference-in-differences propensity score matching approach on entries into and withdrawals from unions in the German Trade Union Confederation (Deutscher Gewerkschaftsbund, DGB). The results show no separate effect on withdrawals from or entries into unions after the minimum wage introduction for those employees who benefited financially from it, but a significant increase of entries overall. Thus, unions’ campaign for a minimum wage strengthened their position in total but did not reverse the segmentation of union membership patterns.

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