Welfare impacts of rural credit and saving program in Kurfa Chele district, eastern Ethiopia: a propensity score matching estimation

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Eric N. Okoyo ◽  
Muluken Gezahegn Wordofa ◽  
Jemal Y. Hassen ◽  
Moges Bezabih
Keyword(s):  
Propensity Score ◽  
Propensity Score Matching ◽  
Family Size ◽  
Educational Status ◽  
Calorie Intake ◽  
Eastern Ethiopia ◽  
Content Type ◽  
Rural Credit ◽  
Credit Program ◽  
The Impact

PurposeThis study is conducted to evaluate the impact of rural credit on farm household income and food security.Design/methodology/approachA multistage random sampling procedure is implemented to select 180 (82 credit user and 98 non-credit user) households from Kurfa Chele district, eastern Ethiopia. The Propensity Score Matching technique is used to estimate the impact of credit utilization on the welfare indicators.FindingsThe results of the econometric model estimation show that participation in the rural credit program was positively influenced by a household's educational status, family size, voluntary saving and participation in training related to credit and saving. On the contrary, livestock holding and extension advice were found to negatively affect participation. Furthermore, participation in rural credit program is found to increase annual income by 59% and calorie intake by 21%. These are significant results implying that participation in the rural credit and saving program improved household welfare in the study area.Originality/valueThis study is important because it shows the welfare impact of making credit program available to potential users in the study area. Moreover, for effectiveness of the credit program it is necessary to target households with relatively larger family size and those with relatively better education (to induce change among the wider farming community). It is also essential to focus on the saving behavior of the program beneficiaries and enhancing the management system by ensuring that sufficient development agents are in place.

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.

Hedonic value and crowdfunding project performance: a propensity score matching-based analysis

2017 ◽  
Vol 9 (2) ◽  
pp. 169-186 ◽  
Author(s):  
Liang Zhao ◽  
Tsvi Vinig
Keyword(s):  
Propensity Score ◽  
Propensity Score Matching ◽  
Real Data ◽  
Project Performance ◽  
Probit Regression ◽  
Data Set ◽  
Content Type ◽  
Hedonic Value ◽  
Utilitarian Value ◽  
The Impact

Purpose In the existing literature on crowdfunding project performance, previous studies have given little attention to the impact of investors’ hedonic value and utilitarian value on project results. In a crowdfunding setting, utilitarian value is somehow hard to satisfy due to information asymmetry and adverse selection problem. Therefore, the projects with more hedonic value can be more attractive for potential investors. Lucky draw is a method to increase consumer hedonic value, and it can influence investors’ behavior as a result. The authors hypothesize that projects with hedonic treatment (lucky draw) may have higher probability to win their campaign than others. The paper aims to discuss these issues. Design/methodology/approach A unique self-extracted two-year Chinese crowdfunding platform real data set has been applied as the analysis sample. The authors first employ propensity score matching methods to control for the endogeneity of hedonic treatment adoption (lucky draw). The authors then run OLS regression and probit regression in order to test the hypotheses. Findings The analysis suggests a significant positive relationship not only between project lottery adoption and project results but also between project lottery adoption and project popularity. Originality/value The results suggest that an often ignored factor – hedonic treatment (lucky draw) – can play an important role in crowdfunding project performance.

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.

Innovation on the choice of debt financing source: evidence from innovative firms

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
HyunJun Na
Keyword(s):  
Propensity Score ◽  
Propensity Score Matching ◽  
Debt Financing ◽  
Bank Loans ◽  
Private Debt ◽  
Content Type ◽  
Propensity Score Matching Analysis ◽  
Industry Level ◽  
Innovative Firms ◽  
The Impact

Purpose The purpose of this paper is to investigate how the innovative firm’s proprietary information has an impact on its debt financing preference. This study also examines the impact of industry-level competition on the debt financing orders and investigates how two exogenous shocks impacted on innovative firms’ financing policies. Design/methodology/approach This paper uses the three types of debt data, including bonds, private debt placements and bank loans and patent application data, in the USA from 1987–2008. The number of patents applications and industry-level competition are used as proxies for a firm’s innovation and industry-level sensitivity. In addition, to minimize endogenous concern, this study uses the propensity score matching analysis and difference-in-differences. Findings The patents are the primary determinants for innovative firms to choose the debt types. The paper shows that innovative firms have the debt preference order – public debt, private placement and bank loans. However, as competition increases, innovative firms devise the order reverse. Finally, the paper provides evidence that the American Inventor’s Protection Act (AIPA) and the tech bubble crash made investors depend more on firms with more patents. Originality/value This paper is the first to study the impact of the AIPA on innovative firms’ financial policies using the propensity score matching analysis. The findings imply that both patents and industry-level competition are important factors to understand the capital structures for innovative firms.

Can credit help small family farming? Evidence from Brazil

2019 ◽  
Vol 80 (2) ◽  
pp. 212-230
Author(s):  
Alexandre Gori Maia ◽  
Gabriela dos Santos Eusébio ◽  
Rodrigo Lanna Franco da Silveira
Keyword(s):  
Agricultural Production ◽  
Agricultural Practices ◽  
Family Farming ◽  
Content Type ◽  
Rural Credit ◽  
Family Farmers ◽  
Small Family ◽  
Credit Program ◽  
The Impact ◽  
Practical Implications

Purpose The purpose of this paper is to evaluate the impact of a Brazilian rural credit program, The National Program for Strengthening Family Farming (PRONAF), on small family farming production. Design/methodology/approach The method is based on a quasi-experimental approach (propensity score matching) applied to 4.1m family farmers in Brazil. Findings Results show that farmers accessing PRONAF tended to be positively selected in terms of several observable characteristics, such as land size and agricultural practices. Moreover, PRONAF had positive and differentiated impacts on agricultural production. The impact was larger in the poorest region when compared to the regions characterized by intensive and commercial farming. Research limitations/implications The rural credit information was restricted to one crop year, making impossible to analyze the mid- and long-term impacts of the credit program on agricultural production. Practical implications The study provides some practical implications for policies of rural development. First, rural credit does matter for agricultural production of small family farmers. Nonetheless, since credit programs are large subsidized by the rest of the population, further studies are still needed the aggregate costs and benefits of these schemes. Results also revealed that PRONAF may have contributed to reduce regional inequalities, since the impact was larger in the poorest NE region. Originality/value This study provides a comprehensive analysis of how rural credit has impacted small-farm agricultural production, using large and representative data – the whole population of Brazilian family farmers.

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.

The effect of the adoption of an alternative corporate governance system on firms’ performances

2016 ◽  
Vol 35 (4) ◽  
pp. 517-529 ◽  
Author(s):  
Carlo Bellavite Pellegrini ◽  
Bruno S. Sergi ◽  
Emiliano Sironi
Keyword(s):  
Corporate Governance ◽  
Propensity Score ◽  
Performance Outcomes ◽  
Corporate Law ◽  
Law Reform ◽  
Governance System ◽  
Content Type ◽  
Alternative System ◽  
The Impact ◽  
Board System

Purpose – Alternative corporate governance systems (CGSs) have attracted a significant bulk of research recently. While the connection between the adoption of an alternative system (one tier board or two tier board system) and firms’ performances has not been fully analysed yet, the purpose of this paper is to analyse whether companies which have turned into an alternative board system have eventually improved their performance over time. Design/methodology/approach – Using a sample of more than 15,000 Italian unlisted joint stock companies, the authors compare performance outcomes in 2009 of firms adopting alternative systems with performances of firms that maintained the system in force before the 2003 Corporate Law Reform (defined as “traditional”). Because of the choice of an alternative system (one tier or two tier board) instead of a traditional one is not random, the authors reduce selection bias implementing matching methods and comparing firms that are close in terms of propensity score measured in 2003 (the year before the new CGSs have been introduced by a corporate law reform). Findings – The authors do not find evidence of a significant improvement of performances in 2009 concerning those firms that have adopted a one tier or two tier board systems with respect to those which maintained a traditional one. Originality/value – The novelty of the study concerns the application of propensity score matching for the evaluation of the impact of the change of the CGS that is possible in presence of two conditions that are all verified in our setting: first, to have a country where corporate law allows for choosing among different systems; in this case Italy is a good laboratory, because it allows for the choice among three different systems; and second, to have the opportunity to evaluate the effect of the change in light of a relatively recent “pre-treatment” condition; this is made possible by the fact that before the 2003 Reform of corporate law all the companies had a traditional system.

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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