Suburban Areas in Developing Countries and Their Relationship to Groundwater Pollution: A Case Study of Mar del Plata, Argentina

1998 ◽  
Vol 22 (2) ◽  
pp. 245-254 ◽  
Author(s):  
Hector E. Massone ◽  
Daniel E. Martinez ◽  
Jose L. Cionchi ◽  
Emilia Bocanegra
Keyword(s):  
Developing Countries ◽  
Groundwater Pollution ◽  
Suburban Areas

The Role of Mobile Money in Moderating Financial Exclusion: A Tanzanian Experience

2020 ◽  
Vol 2 ◽  
pp. 1-24 ◽  
Author(s):  
Deogratius Joseph Mhella
Keyword(s):  
Developing Countries ◽  
Financial Institutions ◽  
Banking Sector ◽  
Research Question ◽  
Microfinance Institutions ◽  
Mobile Money ◽  
Access To Credit ◽  
Financial Exclusion

Prior to the advent of mobile money, the banking sector in most of the developing countries excluded certain segments of the population. The excluded populations were deemed as a risk to the banking sector. The banking sector did not work with cash stripped and the financially disenfranchised people. Financial exclusion persisted to incredibly higher levels. Those excluded did not have: bank accounts, savings in financial institutions, access to credit, loan and insurance services. The advent of mobile money moderated the very factors of financial exclusion that the banks failed to resolve. This paper explains how mobile money moderates the factors of financial exclusion that the banks and microfinance institutions have always failed to moderate. The paper seeks to answer the following research question: 'How has mobile money moderated the factors of financial exclusion that other financial institutions failed to resolve between 1960 and 2008? Tanzania has been chosen as a case study to show how mobile has succeeded in moderating financial exclusion in the period after 2008.

Efficiency of SMS Marketing in Developing Countries: Bangladesh Case Study

2011 ◽  
Author(s):  
Imran Mahmud ◽  
Shahriar Rawshon ◽  
Fazle Munim
Keyword(s):  
Developing Countries

scholarly journals Identification of inference fallacies in solid waste generation estimations of developing countries. A case-study in Panama

2021 ◽  
Vol 126 ◽  
pp. 454-465
Author(s):  
Jorge M. Torrente-Velásquez ◽  
Maddalena Ripa ◽  
Rosaria Chifari ◽  
Mario Giampietro
Keyword(s):  
Developing Countries ◽  
Solid Waste ◽  
Waste Generation ◽  
Solid Waste Generation

What Kind of People Use Carsharing for Commuting? Case Study in Shanghai

2019 ◽  
Vol 2673 (5) ◽  
pp. 770-778 ◽  
Author(s):  
Jianhong Ye ◽  
Daoge Wang ◽  
Hua Zhang ◽  
Hong Yang
Keyword(s):  
High Frequency ◽  
Urban Areas ◽  
Descriptive Analysis ◽  
User Characteristics ◽  
Logistic Regression Models ◽  
Highly Educated ◽  
Suburban Areas ◽  
Commuting Mode ◽  
Study Offer

Carsharing as a service has been growing rapidly worldwide. Its expansion has drawn wide attention in the research community with regard to the underlying driving factors and user characteristics. Despite these extensive investigations, there are still limited studies focusing on the examination of users using carsharing as a commuting mode. The answers to questions such as what kind of people would like to use carsharing for commuting and why they frequently use carsharing to commute are not clear. To enrich our understanding of these problems, this paper aims to investigate carsharing commuters in a mega city. Specifically, it intends to integrate the actual user order data with survey data from 1,920 participants to uncover the characteristics of carsharing commuters. Data from the Evcard carsharing systems in Shanghai were explicitly analyzed. Through descriptive analysis and logistic regression models, the characteristics and critical factors that affect the choice of carsharing as a commuting mode were captured. The results show that: 1. carsharing commuters mostly live or work in suburban areas in which public transport accessibility is limited; 2. carsharing commuters are more likely to be highly educated, in a higher income bracket, and older than other carsharing members; 3. high-frequency carsharing commuters own a reduced number of private cars; and 4. those high-frequency carsharing commuters with higher income are less sensitive to the carsharing costs caused by congestion. The findings in the study offer some insights into carsharing commuters and provide some supportive information for considering policies in developing carsharing systems in urban areas.

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