scholarly journals Impact of MAPs on improving the socio-economic situation of rural families in Kosovo

2021 ◽  
Vol 115 (2) ◽  
pp. 39-50
Author(s):  
Lindita Ibishi ◽  
Arben Musliu
Keyword(s):  
Logistic Regression ◽  
Propensity Score ◽  
Propensity Score Matching ◽  
Rural Families ◽  
Aromatic Plants ◽  
Medicinal And Aromatic Plants ◽  
Market Prices ◽  
Factors Affecting ◽  
Gross Income ◽  
The Impact

he medicinal and aromatic plants sector is considered a very important sector for the economy of Kosovo since it can provide employment, income, and export growth. Based on this, we assess the impact of the subsidy schemes from the Ministry of Agriculture, Forestry, and Rural Development (MAFRD) using a propensity score matching improving the farmers' gross income. The main purpose of the study was to assess whether subsidy schemes have an impact on the farmer's gross income by using a propensity score matching model to match beneficiaries to non-beneficiaries. Results showed that beneficiaries of subsidy schemes make 3,682.09 Euros more per year than non-beneficiaries (95% confidence interval 2,349.9 Euros to 5,012.90 Euros). Using logistic regression, we found that subsidy schemes, market prices, and reductions of unfair competition are the three most important factors affecting farmers' decisions to collect and cultivate MAPs.

scholarly journals COFFEE CERTIFICATION PARTICIPATION AND ITS IMPACT ON SMALLHOLDER FARMERS’ INCOME IN JIMMA ZONE, SOUTHWESTERN ETHIOPIA

2021 ◽  
Vol 21 (02) ◽  
pp. 87-102
Author(s):  
Yadeta Bekele Bekere ◽  
Guta Regasa Megersa
Keyword(s):  
Propensity Score ◽  
Propensity Score Matching ◽  
Smallholder Farmers ◽  
Secondary Data ◽  
Probit Model ◽  
Primary Data ◽  
Coffee Production ◽  
Factors Affecting ◽  
Southwestern Ethiopia ◽  
The Impact

Certification is an instrument to add value to a product, and it addresses a growing worldwide demand for healthier and more socially and environmentally friendly products. Globally, coffee certification has received strong recognition as it is proved to increase smallholder farmers’ access to input and output markets, production, productivity and income. This study investigates the major determinants of coffee certification participation. It also analyzes the welfare gains of participation in the certification schemes by smallholder coffee growers. Both primary and secondary data were used. Primary data were collected from randomly selected 247 coffee producers. Structured questionnaires, focus group discussions and key informant interviews were employed to collect the primary data. Descriptive statistics and econometric models were used for data analysis. Probit model was used to identify factors affecting participation in coffee certification schemes. Propensity score matching technique was used to estimate the impact of coffee certification participation on smallholders’ annual revenue from coffee production. The probit model result revealed that access to training, family size, land size owned, experience in coffee production, education status were significantly determined the smallholders farmers’ participation decision in coffee certification. The propensity score matching model result also shows that participation in coffee certification significantly (p=0.001) improved farmers’ annual revenue by 2,902 Ethiopian birr compared to selling coffee without the certification schemes. This income impact is mainly attributed to the premium price the certification offer to farmers for high quality coffee. Therefore, policies or projects related to coffee value chains should target improving farmers’ access to training, boosting the access to education, working on farmers’ productivity and increasing their technical knowhow on coffee certification to increase farmers’ participation in coffee certification and to improve their annual revenue earning level in the study area.

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.

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.

Abstract 67: Effects of Single vs Dual Antiplatelet Therapy on Long Term Stroke and Death After Carotid Endarterectomy

Stroke ◽  
2020 ◽  
Vol 51 (Suppl_1) ◽  
Author(s):  
Nathan Belkin ◽  
Alexander S Fairman ◽  
Benjamin M Jackson ◽  
Paul J Foley ◽  
Scott M Damrauer ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Propensity Score ◽  
Carotid Endarterectomy ◽  
Propensity Score Matching ◽  
Antiplatelet Therapy ◽  
Dual Antiplatelet Therapy ◽  
Long Term Effects ◽  
Kaplan Meier ◽  
One Year

Introduction: Current evidence suggests that dual antiplatelet therapy (DAPT) reduces perioperative stroke, but increases bleeding after carotid endarterectomy (CEA). The long term effects of antiplatelet therapy after CEA have yet to be studied. Methods: A retrospective review of patients undergoing CEA in the national Vascular Quality Initiative database (2003-2018) was performed. Based on antiplatelet regimen at discharge, patients were propensity score matched on aspirin monotherapy vs. DAPT. Multivariable logistic regression and Kaplan-Meier analyses were used to investigate the long term effects of antiplatelet regimen on mortality and stroke/TIA. Results: Of the 72,122 patients undergoing CEA, 64.6% were discharged on aspirin, and 35.4% on DAPT. The DAPT group had higher frequencies of comorbidities (COPD, HTN, CHF, smoking, diabetes) as well as atherosclerotic diseases (PAD, CAD, prior PCI, prior CABG). After propensity score matching, two groups of 8,722 patients with comparable comorbidities were formed. While unmatched Kaplan-Meier analysis showed the DAPT cohort to have higher mortality (p=0.001), this difference dissipated after matching. The resultant matched DAPT cohort did not differ from the aspirin group in one year stroke/TIA (1.7% vs. 1.6%, p=0.70), or mortality (3.1% vs. 3.3%, p=0.55). At 5 years, however, patients treated with DAPT did exhibit a mortality benefit (6.4% vs. 7.3%, p=0.02) with multivariable logistic regression identifying DAPT as an independent predictor of reduced mortality (OR 0.94, 95% CI 0.88-0.99, p=0.04). Conclusions: Patients discharged on DAPT after CEA represent a significantly different cohort than those discharged on aspirin monotherapy. After propensity score matching, there was no difference at one year stroke/TIA or mortality outcomes, but DAPT was found to be protective against long-term mortality. Further study is warranted to investigate this finding.

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.

scholarly journals USING PROPENSITY SCORE MATCHING METHOD TO ESTIMATE THE IMPACT OF VIETGAP PROGRAM ON THE HEALTH OF FARMERS IN THUA THIEN HUE PROVINCE, VIETNAM

2017 ◽  
Vol 126 (5B) ◽  
pp. 17
Author(s):  
Trần Huỳnh Bảo Châu
Keyword(s):  
Health Status ◽  
Propensity Score ◽  
Propensity Score Matching ◽  
Pesticide Exposure ◽  
Agricultural Practices ◽  
Health Problems ◽  
Vegetable Production ◽  
Matching Method ◽  
Environment Friendly ◽  
The Impact

<p><strong>Abstract:</strong></p><p>This study estimates the impact value of the VietGAP program when applied to vegetable production on the health of farmers in Thua Thien Hue province. By employing the propensity score matching (PSM) method, our findings show that the VietGAP program has a significant impact on farmers’ health. In particular, the program reduces farmers’ health problems due to pesticide exposure by 15.6 %, 22.9 %, 25.5 %, and 23.6 %, respectively, from four types of matching. This study provides evidence of the positive impacts of the VietGAP program on the health status of farmers in Thua Thien Hue province. It is therefore hoped that the production, consumption, and management solutions provided by the VietGAP program can encourage farmers to use environment-friendly agricultural practices.</p><p><strong>Keywords: </strong>propensity score matching (PSM) method, VietGAP program, farmers’ health</p>

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 The impact of migrant workers' remittances on the living standards of families in Morocco: A propensity score matching approach

2015 ◽  
Vol 12 (1) ◽  
pp. 13-27 ◽  
Author(s):  
Jamal Bouoiyour ◽  
Amal Miftah
Keyword(s):  
Propensity Score ◽  
Propensity Score Matching ◽  
Urban Area ◽  
Migrant Workers ◽  
Positive Impact ◽  
Living Standards ◽  
Household Expenditure ◽  
Relative Poverty ◽  
Percentage Points ◽  
The Impact

This article attempts to assess empirically the impact of remittances on household expenditure and relative poverty in Morocco. We apply propensity score matching methods to the 2006/2007 Moroccan Living Standards Measurement Survey. We find that migrants’ remittances can improve living standards among Moroccan households and affect negatively the incidence of poverty. The results show a statistically significant and positive impact of hose remittances on recipient households’ expenditures. They are also significantly associated with a decline in the probability of being in poverty for rural households; it decreases by 11.3 percentage points. In comparison, this probability decreases by 3 points in urban area.  

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