Cooking fuel choices of households in urban areas in Uganda: a multinomial probit regression analysis

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Joseph Elasu ◽  
Bright Richard Richard ◽  
Muyiwa S. Adaramola
Keyword(s):  
Urban Areas ◽  
Sociodemographic Factors ◽  
Multinomial Probit ◽  
Probit Regression ◽  
Cooking Fuel ◽  
Content Type ◽  
Explanatory Variables ◽  
Section Data ◽  
Making Choices ◽  
Multinomial Probit Regression

PurposeThis study explores the economic and sociodemographic factors that influence households' decisions on the type of fuel used for cooking in urban areas in Uganda.Design/methodology/approachIn total, two cross-section data surveyed by the Uganda Bureau of Statistics (UBOS) in 2012/13 and 2016/17 were used to analyze consumption of energy for cooking purposes in urban areas of Uganda. This paper employed a multinomial probit regression model and the corresponding marginal effects to analyze cooking fuel choices, which are biomass, electricity and gas and kerosene combined.FindingsThe results showed that household expenditure was statistically significant for the choice of cooking fuel chosen. Furthermore, kitchen type, dwelling type and apartment tenure type are found to be significantly influence the choice of household cooking fuel decisions.Originality/valueThis study takes into consideration the combined influence of the kitchen type, dwelling and tenure type as explanatory variables for the choice of cooking fuel for households in urban areas in Uganda. These factors have not been considered in previous studies done in Uganda, especially within the context of urban households when making choices for cooking fuel.

scholarly journals Rural–Urban Disparities in Access to Improved Sanitation in Indonesia: A Decomposition Approach

SAGE Open ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 215824402110299
Author(s):  
Sri Irianti ◽  
Puguh Prasetyoputra
Keyword(s):  
Rural Areas ◽  
Urban Areas ◽  
Universal Access ◽  
Decomposition Analysis ◽  
Multivariate Regression Analysis ◽  
Probit Regression ◽  
Decomposition Approach ◽  
Explanatory Variables ◽  
Improved Sanitation ◽  
The Government

One of the targets in the Sustainable Development Goals (SDGs), which is Target 6.2, aims to achieve access to adequate and equitable sanitation. The Government of Indonesia targets universal access to improved sanitation in 2019. However, almost two out of five households in Indonesia are without access to improved sanitation. Moreover, access to improved sanitation is lower in rural areas than that in urban areas. Studies examining the drivers of the disparity in Indonesia are also limited. Therefore, this study was aimed at assessing the characteristics associated with the rural–urban disparity in access to improved sanitation facilities among households in Indonesia. We employed data from the 2016 Indonesian National Socio-Economic Survey (SUSENAS) comprising 290,848 households. The analysis was twofold. First, we fitted multivariate probit regression models using average marginal effects as the measure of association. We then conducted a detailed non-linear decomposition of the rural–urban disparity attributable to all the explanatory variables. The multivariate regression analysis suggested that households living in rural areas were 11.35% (95% confidence interval = [10.97, 11.72]) less likely to have access to improved sanitation facilities than those residing in urban areas. The decomposition analysis suggested that 48.78% are attributable to spatial, demographic, housing, and socio-economic factors, which meant that almost half of the inequalities could be reduced by equalizing these factors. The results provide a decomposition of factors amenable to curtail urban–rural inequalities. Hence, equity-oriented approaches to increasing access to improved sanitation should be prioritized to achieve universal access in 2030 in line with SDG Target 6.2.

scholarly journals Forecasting bank credit ratings

2014 ◽  
Vol 15 (2) ◽  
pp. 195-209 ◽  
Author(s):  
Periklis Gogas ◽  
Theophilos Papadimitriou ◽  
Anna Agrapetidou
Keyword(s):  
Credit Ratings ◽  
Financial Statements ◽  
Bank Credit ◽  
Probit Regression ◽  
Content Type ◽  
Explanatory Variables ◽  
Financial Variables ◽  
Annual Frequency ◽  
Available Information

Purpose – This study aims to present an empirical model designed to forecast bank credit ratings using only quantitative and publicly available information from their financial statements. For this reason, the authors use the long-term ratings provided by Fitch in 2012. The sample consists of 92 US banks and publicly available information in annual frequency from their financial statements from 2008 to 2011. Design/methodology/approach – First, in the effort to select the most informative regressors from a long list of financial variables and ratios, the authors use stepwise least squares and select several alternative sets of variables. Then, these sets of variables are used in an ordered probit regression setting to forecast the long-term credit ratings. Findings – Under this scheme, the forecasting accuracy of the best model reaches 83.70 percent when nine explanatory variables are used. Originality/value – The results indicate that bank credit ratings largely rely on historical data making them respond sluggishly and after any financial problems are already known to the public.

scholarly journals Sociodemographic determinants of self-reporting mental health problems in Indonesian urban population

2019 ◽  
Vol 2 (1) ◽  
pp. 59
Author(s):  
Fredrick Dermawan Purba ◽  
Titi Sahidah Fitriana
Keyword(s):  
Mental Health ◽  
Marital Status ◽  
Urban Areas ◽  
Mental Health Problems ◽  
Extended Family ◽  
Sociodemographic Factors ◽  
Health Problems ◽  
Explanatory Variables ◽  
Sociodemographic Determinants ◽  
Anxiety Depression

Studies have found that mental health problems are more prevalent in urban areas compared to rural ones, including in Indonesia. About 6% of Indonesian people report having mental health problems, and 1.7 out of every thousand residents are diagnosed with a psychiatric problem. This study examines the sociodemographic determinants of reporting mental health problems among Indonesia’s general population living in urban areas. One thousand forty participants aged 17 years and over answered sociodemographic questions (i.e., residence, gender, age, education level, income, marital status) and completed the EQ-5D-5L. Their responses to the Anxiety/Depression item of the EQ-5D-5L (no problem vs. any level of problem) were the dependent variable sociodemographic factors were the explanatory variables. About one-third (35.37%) of the participants reported experiencing problems with anxiety/depression. Logistic regression found that marital status was significantly associated with reporting any problems of anxiety/depression in the EQ-5D-5L: single/divorced participants were 58% more likely to report that they suffered from anxiety/depression in comparison to their married counterparts. These results highlight the importance of social support; that is, having a spouse or extended family member whom one can count on for help when facing a problem is essential, regardless of one’s gender, age, educational level, or income.

scholarly journals Income Diversification by agro- Pastoralists in Cholistan Desert Punjab, Pakistan

2021 ◽  
Vol 23 (2) ◽  
Author(s):  
Ramsha Saleem ◽  
Ammara Amjad Hashmi ◽  
Hafsah Batool ◽  
Muhammad Naeem
Keyword(s):  
Multinomial Probit ◽  
Probit Regression ◽  
Income Diversification ◽  
Role Of Government ◽  
Livestock Sector ◽  
Unskilled Labour ◽  
Cholistan Desert ◽  
Diversification Strategies ◽  
Multinomial Probit Regression

The pastoralists are economically depend upon livestock for their income which include their herds of livestock and the bi products produced and sold. The nomads keep moving in search of food and forage so they do not completely destroy the natural resource of a particular area. During their journey of searching water sometimes make them closer to the agriculture land near towns where they used to earn through off farm activities which include the income earned through their unskilled labour activities. The multinomial probit regression employed in this study for analysis revealed that many pastoralists adopt the income diversification strategies which are the coping strategies for other than livestock income to reduce the risks attached with livestock income. The role of Govt. and NGOs for improvement in infrastructure is envisaged to find the enhancement of livestock sector in the area is explored in this study. The study is unique in providing perspective on providing access to different facilities and the role of government in improving living of population.

Innovation and exports: different markets, different outcomes

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Gabriela Barrère ◽  
Andrés Jung ◽  
Diego Karsaclian
Keyword(s):  
Developing Country ◽  
Empirical Studies ◽  
Manufacturing Firms ◽  
Export Market ◽  
Developing Economy ◽  
Probit Regression ◽  
Export Markets ◽  
Content Type ◽  
Explanatory Variables ◽  
Technological Level

Purpose The purpose of this paper is to identify different outcomes in the relation innovation–exports for a firm located in a developing country, depending upon the destination market of its exports (i.e. a developed or a developing economy). Design/methodology/approach The specification strategy is a bivariate probit regression model applied to 640 Uruguayan manufacturing firms. Two simultaneous equations are used to estimate the probability of being an exporting or innovating firm. For both equations, the firm’s innovative activity and export status in the past are introduced as explanatory variables to solve endogeneity issues. Findings When firms located in a developing economy export to another developing country, the authors find that innovation precedes exports, in line with what they would expect according to theory. When the export market is a developed economy, firms are not able to cope with both innovation and export strategies simultaneously, whether innovating to access export markets or transforming knowledge from exports into innovation. Research limitations/implications Causality could not be found and endogeneity problems were not solved. The data are limited to a sample of Uruguayan manufacturing firms during six years between 2010 and 2015, and authors do not know when did the firms began to export either to a developed or a developing economy. Furthermore, the database indicates if a developed economy is between the three main export markets of the firm or not, but authors do not know what kind of products (i.e. their technological level) are exported by the firm to that destination. Originality/value Although the link between innovation and exports is an important topic for firms and policymakers, the main bulk of empirical studies has ignored the role of destination markets. This study attempts to fill this gap contributing to a better understanding of the differences in the relation between innovation and exports (i.e. its sequence), when the destination market is a developed or a developing economy.

Sign in / Sign up

Export Citation Format

Share Document