Growth Rates In Developing Countries Research Articles

Joop W. de Wit. Poverty, Policy and Politics in Madras Slums: Dynamics of Survival, Gender, and Leadership. New Delhi: Sage Publications. 1996. 305 pages. Hardbound. Indian Rs 395.00.

The urban bias in economic development, coupled with the modernisation in agriculture and resultant labour displacement, has meant that the growth rates of the urban population have far outstripped the rapidly rising overall population growth rates in developing countries. Employment generation in the urban sectors generally does not keep pace with the growth in urban populations. Lack of access to education and training leads to low skill formation. A growing number of urban people are, therefore, forced to work in the informal sector. Low and uncertain incomes and the lack of suitable housing forces these people to reside in sub-human conditions without basic sanitation and health services. In recent years, the urban slum has become an increasing focus of economic development analyses and policy-making.

Implementation of Accounting Information Systems in Ethiopia: Evidence from Small and Medium Enterprises in Bahir Dar City

Understanding the interplay between information technology implementation and productivity growth is the foundation for projecting the future economic growth rate of developing countries in general and the development of Small and Medium enterprises (SMEs) in particular. The study explores factors affectingimplementation of Accounting Information Systems (AISs) among SMEs in Ethiopia takingSMEsin Bahirdarcityas a reference. In doing so, mixed research approach was found to be appropriate in this study. Besides, in order to collect data, self-administeredstructured questionnaire and in-depth interview tools were utilized. The statistical societies of the study were included using random sampling technique with cross-sectional surveydesign. Collected data were analyzed using SPSS software version 22 and descriptive statistics and regression analysis were made to find answers for pre-determined hypotheses. Given the dichotomous response to the dependent variable (AISs implementation), binary logistic regression model was used aimed to identify major influential factors. The result of the study foundthatimplementation of AISs is at its lowest level among SMEs in Ethiopia and factors such asgovernment support, employees’ IT competence, complexity of AISs, organizational readiness, and owner (manager) support were found to be significantly influencing AISs implementation in Ethiopia. The study helps concerned stakeholdersto understand determinants of AIS technologies implementation among SMEs in Ethiopia and thereby helps todesign appropriate policies that would modernize and automate their accounting systems and practices. This study also contributes to AIS literature on determinants of AISs implementation among SMEs in developing countries.