scholarly journals Influence of UTCP on the employment of female workers and the supply of labor force

PLoS ONE ◽  
2021 ◽  
Vol 16 (11) ◽  
pp. e0259843
Author(s):  
Mingming Li ◽  
Jiayun Wang
Keyword(s):  
Women Workers ◽  
Propensity Score ◽  
Propensity Score Matching ◽  
Survey Data ◽  
Family Characteristics ◽  
Female Employment ◽  
Income Gap ◽  
Female Workers ◽  
The Impact

In recent years, China has introduced the Universal Two-Child Policy (UTCP), which means that a couple can have two children. The implementation of this policy may affect female employment. Based on this background, this work aims to the impact of UTCP on the number and employment of Chinese women workers, and find out the countermeasures for the adverse impact of the policy. Firstly, the role of the Propensity Score Matching-Differences in Differences model is introduced, and the average and dynamic effects of UTCP on women’s employment are discussed by using the Propensity Score Matching model. Secondly, the survey data on issues related to female employment after the implementation of UTCP from 2016 to 2020 is analyzed. Finally, a conclusion is drawn according to the survey data. The results demonstrate that the implementation of UTCP widens the income gap between men and women. Meanwhile, the younger the couple, the greater the income gap. Besides, the unemployment rate changes slightly after the introduction of the policy. As the growth rate of female income is significantly lower than that of men of the same age, UTCP has little impact on the employment of Chinese female workers, but has a great impact on the quality of employment. Among all the respondents, the proportion of employed men is higher than employed women, which is about 64% ~ 65%. However, it is still unknown whether age, education, family characteristics, nationality, occupations, and economic development of the province have a certain impact on female income, which is worth noting by follow-up research. On the whole, the full liberalization of the second child has little impact on the employment of female workers in China, but has a great impact on the quality of employment. The present work lays a foundation for the study of the impact of UTCT on female employment in future, and offers a certain reference for the further study of the impact of the policy on employment in the future.

scholarly journals Teacher-Student Relationships in Childhood as a Protective Factor against Adolescent Delinquency up to Age 17: A Propensity Score Matching Approach

2021 ◽  
pp. 001112872110141
Author(s):  
Ingrid Obsuth ◽  
Aja Louise Murray ◽  
Monja Knoll ◽  
Denis Ribeaud ◽  
Manuel Eisner
Keyword(s):  
Young People ◽  
Propensity Score ◽  
Propensity Score Matching ◽  
Protective Factor ◽  
Adolescent Delinquency ◽  
Student Relationships ◽  
Teacher Student Relationships ◽  
Teacher Student ◽  
The Impact

In this paper we examined the impact of the quality of teacher-student relationships at age 10 on young people’s delinquency at ages 13, 15, and 17 utilizing propensity-score matching. The young people were matched based on 105 characteristics, measured at ages 7 to 10. The sample comprised 1483 (49.4% female) adolescents representing around 80 different countries of origin, residing in Zurich, Switzerland. We found that young people who reported a better relationship with their teacher at age 10, engaged in fewer delinquent acts at ages 13, 15, and 17. These findings suggest that when young people perceive a better relationship with their teachers this serves as a protective factor against their engagement in delinquency up to 7 years later.

scholarly journals The Impact of New Technologies on Wages in Colombia: An Analysis With the 2018 Quality-of-Life Survey

2021 ◽  
Author(s):  
Fernando Barrios Aguirre ◽  
Martha Patricia Castellanos Saavedra ◽  
Diana Maritza Álvarez Ovalle ◽  
Nancy Milena Riveros Chávez
Keyword(s):  
Quality Of Life ◽  
Propensity Score ◽  
Propensity Score Matching ◽  
Computer Use ◽  
New Technologies ◽  
Positive Impact ◽  
Public Policies ◽  
Learning Technologies ◽  
The Impact

This document evaluates the impact of computer use on wages in Colombia in 2018. For this analysis, a Propensity Score Matching model is used to evaluate the impact of the use of learning technologies on the wages and years of education of Colombians, based on the 2018 quality of life survey. The results show that the use of the computer, laptop, tablet, internet, transferred files, Excel and radio for learning have a positive impact on the wages of Colombians. This research allows a better understanding of the technological effects on wages and provides information for the design of public policies in the development of technological skills.

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.

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.

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