scholarly journals Reconversión laboral del sector agropecuario hacia el turismo. Desafíos para la Patagonia chilena

2019 ◽  
Vol 19 (1) ◽  
pp. 175
Author(s):  
Claudio Mancilla ◽  
Luz María Ferrada ◽  
Sergio Soza-Amigo
Keyword(s):  
Secondary Education ◽  
Rural Areas ◽  
Logit Model ◽  
Post Secondary Education ◽  
Agricultural Worker ◽  
Post Secondary ◽  
Data Matching ◽  
Tourism Sector ◽  
Chilean Patagonia ◽  
Rural Depopulation

<div data-canvas-width="539.5656066666667">The development of tourism can help to diversify the productive matrix and reduce rural depopulation. This study analyzes the possibility of agricultural worker participation in the tourism sector in rural areas of Chilean Patagonia. Based on the 2017 CASEN survey, data matching and estimation of logit model are conducted to evaluate the probability of agricultural worker reconversion. The results indicate that the proportion of agricultural workers who can move to tourism is low. However, women and individuals with post-secondary education are more likely to be reconverted.</div>

scholarly journals Labour Reconversion from the Agricultural Sector to Rural Tourism: Analysis of Rural Areas in Chile

2021 ◽  
Vol 13 (20) ◽  
pp. 11152
Author(s):  
Claudio Mancilla ◽  
Luz María Ferrada
Keyword(s):  
Rural Areas ◽  
Logit Model ◽  
Agricultural Sector ◽  
Sociodemographic Characteristics ◽  
Post Secondary Education ◽  
Agricultural Worker ◽  
Post Secondary ◽  
Matching Process ◽  
Tourism Sector

The aim of this study is to analyse the likelihood of agricultural workers in rural areas converting to the tourism sector. Chile is used as a case study, drawing on the CASEN survey of 2017 to analyse differences between the northern, central, and southern regions of the country and construct a satellite account of tourism. A matching process was carried out within the data, and the estimation of a logit model was done to assess the probability of labour reconversion. The results indicate that an agricultural worker has a 12.8% probability of retraining. However, differences emerged when demographic characteristics were analysed; specifically, people with post-secondary education and women have a higher probability of retraining. These and other sociodemographic characteristics are important to explain potential labour reconversion towards tourism in rural areas, although differences arose between areas of the country. Therefore, homogeneous public policies that do not consider the specific characteristics of the territories within a country will be ineffective.

scholarly journals Determinants of Disparity in Desired Fertility among Married Women in Urban and Rural Areas of Southwest Nigeria.

2021 ◽  
Vol 6 (4) ◽  
pp. 48-63
Author(s):  
Kazeem Sunmola ◽  
Johnson Olaosebikan ◽  
Temitope Adeusi
Keyword(s):  
Secondary Education ◽  
Significant Relationship ◽  
Rural Areas ◽  
Urban Areas ◽  
Married Women ◽  
Post Secondary Education ◽  
Post Secondary ◽  
Number Of Children ◽  
Southwest Nigeria ◽  
Urban And Rural Areas

Purpose: The study examined the determinants of disparity in desired fertility among married women in urban and rural centres in Southwest Nigeria. Methodology: The study adopted a mixed method research design. A total number of one thousand one hundred and eighty-seven (1,187) women (urban=713; rural=474) of reproductive ages (15-49) years were drawn from Southwest States in Nigeria using multi-stage sampling technique. Questionnaire method was used to gather data from the field. Three levels of data analysis were undertaken to achieve the study objectives. Frequency distribution of socio-demographic factors by place of residence was used at the univariate stage of analyses, chi-square test and binary logistic regression were used at the bivariate and multivariate levels of analysis. Findings: The results showed that more than three-quarter (79.4%) desired four children and below while more than one-fifth (20.6%) of the women desired 5 children and above. Higher percentage of women (84.8%) desired four children and below in rural area when compared with women in urban centres (75.7%). However, among those that desired 5 children and above higher proportion (24.3%) was found in the urban centres when compared with their counterpart in rural areas (15.2%). There is significant relationship (p<0.05) between desired number of children and education of women, husband’s education, religion, age of husband and birth interval urban areas while there is significant relationship between desired number of children and women and husbands’ education in rural areas. Further analysis showed that women’s education especially women with below secondary education had higher odds of desiring more children than those with post-secondary education (OR: 1.57; 95% C.I: 0.70-3.56). In addition, women whose husbands had no education, below secondary education and secondary education were less likely to desire more children in the urban areas than those with post-secondary education. In rural areas, there was significant relationship (p<0.05) between women whose husbands had no education, below secondary education and desired fertility. Women whose husbands had no education and those whose husbands had below secondary education were 16.94 and 2.93 more likely to desire more children than those in the reference category respectively. In addition, women who were Christian were more likely to desire more children in urban areas than their counterparts who were traditionalists.  It was also discovered that women who spaced their births for twenty-four months and below were 0.51 times less likely to desire more children than their counterparts in the reference category (OR:0.51; 95%C.I 0.32-0.80). Recommendation: The study recommends that policy aimed at reducing the desired fertility in both urban and rural areas should be implemented with the hope that high fertility rate will be reduced to a manageable level.

Measuring the Impact of Post-Secondary Education in Prison

1998 ◽  
Vol 27 (1-2) ◽  
pp. 87-106 ◽  
Author(s):  
Stephen Duguid ◽  
Colleen Hawkey ◽  
Wayne Knights
Keyword(s):  
Secondary Education ◽  
Post Secondary Education ◽  
Post Secondary ◽  
The Impact
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