Geographical Indications and their Impact on Territorial Development: Empirical Evidence for Brazilian Municipalities

2021 ◽  
Vol 39 (8) ◽  
Author(s):  
Mirna de Lima Medeiros ◽  
Augusta Pelinski Raiher ◽  
João Luiz Passador
Keyword(s):  
Propensity Score ◽  
Propensity Score Matching ◽  
Empirical Evidence ◽  
Public Policies ◽  
Geographical Indications ◽  
Territorial Development ◽  
Matching Method ◽  
Development Intervention ◽  
The Impact

The promotion of Geographical indications (GIs) as a development intervention has gained growing support. However, despite discussions related to the development resulting from GIs, studies quantifying the impact of public policies for geographical indications are still scarce. In an attempt to fill in this gap, this paper evaluated the effect of geographical indications (GIs) in the process of territorial development of Brazilian municipalities, focusing on the coffee and wine GIs. Therefore, we employed the Propensity Score Matching method. Our results demonstrated a positive mean effect for most of the variables selected, evidencing the importance of the GIs for territorial development.

scholarly journals EFEITOS DO PROGRAMA TERRITÓRIOS DA CIDADANIA SOBRE INDICADORES ECONÔMICOS E SOCIAIS DOS MUNICÍPIOS DE MG: uma abordagem de mensuração com métodos de pareamento

2016 ◽  
Vol 19 (2) ◽  
pp. 551
Author(s):  
Henrique Dantas Neder ◽  
Tiago Camarinha Lopes
Keyword(s):  
Propensity Score ◽  
Propensity Score Matching ◽  
Impact Evaluation ◽  
Minas Gerais ◽  
Territorial Development ◽  
Impact Measurement ◽  
Estimation Model ◽  
Matching Method ◽  
Government Programs ◽  
The Impact

Resumo: O artigo tem o objetivo de medir o efeito do Programa Territórios da Cidadania no Estado de Minas Gerais, com um modelo de estimação com base no método Propensity Score Matching (PSM). Assim, analisa os problemas de medição de impacto do programa, de forma didática, com o propósito de apresentar a metodologia de avaliação de programas governamentais baseada no pareamento de indivíduos com características semelhantes. Conclui que existem evidências de que no período de vigência do programa, os indicadores de aumento do produto da agropecuária foram afetados positivamente, em termos causais, pelo programa Territórios da Cidadania.Palavras-chave: Desenvolvimento territorial, avaliação de políticas públicas, métodos de pareamento, avaliação de impactos. TERRITORIAL PROGRAMS EFFECTS OF CITIZENSHIP ON SOCIAL AND ECONOMIC INDICATORS OF MG CITIES: an measuring approach with pairing methods Abstract: The paper has the objective of measuring the impact of the Brazilian governmental with a program called Territórios da Cidadania in the state of Minas Gerais. An estimation model was constructed on the basis of the Propensity Score Matching method (PSM). Thus, analyzes the program's impact measurement problems in a didactic way, in order to present the methodology for evaluating government programs based on the pairing of individuals with similar characteristics. Concludes there are evidences that for the period analyzed, the indicators of rural product were positively affected by the program.Key words: Territorial development, public policies evaluation, pairing methods, impact evaluation.

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 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.

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 Does Off-Farm Work Improve Farm Income? Empirical Evidence from Tolon District in Northern Ghana

2020 ◽  
Vol 2020 ◽  
pp. 1-8
Author(s):  
Benjamin Tetteh Anang ◽  
Kwame Nkrumah-Ennin ◽  
Joshua Anamsigiya Nyaaba
Keyword(s):  
Propensity Score ◽  
Propensity Score Matching ◽  
Empirical Evidence ◽  
Farm Size ◽  
Northern Ghana ◽  
Farm Income ◽  
Income Diversification ◽  
Farm Work ◽  
On Farm ◽  
The Impact

Participation of farm households in off-farm work has gained prominence in recent times as an income diversification strategy. The effect of off-farm work on farm income is however unclear. This paper therefore sought to provide empirical evidence of the income effect of off-farm activity participation using a cross section of maize farmers in Tolon District of Ghana as a case study. In order to account for sample selection bias, the Heckman selection model was used to estimate the factors influencing participation in off-farm work and the determinants of farm income. Furthermore, the study employed propensity score matching to evaluate the impact of off-farm work on farm income. The results indicate that participation in off-farm work is influenced by sex, age, and years of formal education of the respondent, farm size, and number of dependents while farm income is influenced by age of the respondent, farm size, and access to credit. In addition, the result of the propensity score matching revealed that participants in off-farm work increased their farm income by at least GH¢ 1702 as a result of income diversification. The rural economy therefore provides off-farm and on-farm linkages that enhance farmers’ income from agriculture. The creation of employment opportunities outside the farm will therefore complement on-farm work and enhance income from farming.

scholarly journals Micro-econometric evaluation of subsidized employment in morocco: the case of the "Idmaj" program

2021 ◽  
Vol 55 (1) ◽  
Author(s):  
Abdellatif Chatri ◽  
Khadija Hadef ◽  
Naima Samoudi
Keyword(s):  
Propensity Score ◽  
Propensity Score Matching ◽  
Negative Impact ◽  
Matching Method ◽  
High Quality ◽  
Quality Work ◽  
Heterogeneous Effects ◽  
Significant Negative Impact ◽  
Subsidy Program ◽  
The Impact

AbstractThis paper aims to assess the impact of the Moroccan wage subsidy program "Idmaj". It applies the propensity score matching method to the data from a survey conducted by the Ministry of Labour on a sample of eligible individuals. Our results suggest that wage subsidies in Morocco have a positive but marginally significant effect on reducing unemployment and improving employment and a significant negative impact on wages. It also highlights some heterogeneous effects of the program, particularly on women. Finally, it appears that the program did not serve as a stepping stone to higher-paying, high-quality work and, in contrast, it had a stigmatizing effect on beneficiaries.

scholarly journals Impact of adverse media reporting on public perceptions of the doctor–patient relationship in China: an analysis with propensity score matching method

BMJ Open ◽  
2018 ◽  
Vol 8 (8) ◽  
pp. e022455 ◽  
Author(s):  
Jing Sun ◽  
Shiyang Liu ◽  
Qiannan Liu ◽  
Zijuan Wang ◽  
Jun Wang ◽  
...  
Keyword(s):  
Propensity Score ◽  
Propensity Score Matching ◽  
Media Coverage ◽  
Public Perceptions ◽  
Patient Relationship ◽  
Matching Method ◽  
Doctor Patient Relationship ◽  
News Report ◽  
Hospitalised Patients ◽  
The Impact

ObjectivesNumerous studies indicate that the doctor–patient relationship in China is facing serious challenges. This study examined the impact of China Central Television’s negative coverage of high medicines prices on both doctors’ and patients’ opinions of the doctor–patient relationship.SettingData were collected in a national survey conducted during 19 December 2016 to 11 January 2017 which targeted 136 public tertiary hospitals across the country.ParticipantsAll patients and doctors who submitted completed questionnaire were retrieved from the survey database.InterventionThe study used propensity score matching method to match the respondents before and after China Central Television’s news report about high medicines prices which was given at 00:00 hours on 24 December 2016.Outcome measurePerception scores were calculated based on the five-point Likert scales to measure the opinions of the doctor–patient relationship.ResultsThe perception scores of the doctor–patient relationship were significantly affected by the negative media coverage for hospitalised patients, who scored 1.18 lower on the doctor–patient relationship following the report (p=0.006, 95% CI 0.34 to 2.02), and doctors who scored 5.96 points lower on the same scale (p<0.001, 95% CI 4.11 to 7.82). Score for the ambulatory patients was unaffected by exposure to the adverse news report (p=0.05).ConclusionChinese national media’s reporting of adverse news negatively affected the perceptions of the doctor–patient relationship among both inpatients and doctors. A better understanding of the role of mass media in the formation of opinion and trust between doctors and patients may permit strategies for managing the media, in order to improve public perceptions of the doctor–patient relationship.

scholarly journals Investment Impact of Microfinance Credit in Ghana

2016 ◽  
Vol 8 (3) ◽  
pp. 137 ◽  
Author(s):  
Frederick Murdoch Quaye ◽  
Valentina Hartarska
Keyword(s):  
Propensity Score ◽  
Propensity Score Matching ◽  
Cash Flow ◽  
Financing Constraints ◽  
Small Enterprises ◽  
Microfinance Institutions ◽  
Matching Method ◽  
Internal Funds ◽  
The Impact ◽  
Micro Enterprises

This research paper examines the impact of the microfinance sector on small/micro enterprises in Ghana. The study uses 2007 BEEPS data and employs the financing constraints approach used by several other researchers in the study area to study if the presence of microfinance institutions has been successful in alleviating financing constraints associated with small enterprises. This is done by comparing investment sensitivity to internally generated funds (cash flow) in enterprises with and without access to microfinance institutions. The study also uses a Propensity Score Matching method to reinforce/support the results obtained from the financing constraints approach. The results obtained from the analyses indicate that small/micro enterprises in areas with adequate MFIs have investment less sensitive to the availability of internal funds due to the fact that they have better access to external funds. This result thus shows that the microfinance sector is alleviating financing constraints in the country.

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