Economic impact of microfinance in Nepal: a case study of the Manamaiju Village Development Committee, Kathmandu
The concept of micro-credit was developed to mobilize small savings of poor people to create deposit, which may be accessible to unreachable and un-bankable poor, especially women. The study has highlighted that microfinance is an effective tool for bringing positive impact on the economic status of the respondents along with their family members. It has helped to generate extra income for their family and their own use. The extra income allows the respondents family to buy nutritious food, access to modern health care services and they can afford to send their children to the school. DOI: http://dx.doi.org/10.3126/ejdi.v15i1-2.11861 Economic Journal of Development Issues Vol. 15 & 16 No. 1-2 , pp. 36-49
IMPACT OF MICROFINANCE INSTITUTIONS ON ECONOMIC GROWTH OF NEPAL
Article History Received: 9 February 2018 Revised: 26 February 2018 Accepted: 2 March 2018 Published: 5 March 2018
Complexity, Network-Decisions And Alternative Risk Premia: Some New Theories Of Structural Change And Portfolio Decisions.
Structural Change is the basis for many decisions such as government fiscal and monetary policies, government interventions, corporate-expenditure decisions, corporate strategic decisions, portfolio management decisions in finance; household allocation decisions, etc.. Structural change in industries and national economies is increasingly more difficult to detect partly because of the growth and dominance of Complex Systems and “Networks” in modern industries and economies – such Networks and Complex Systems include GVCs (global value chains), retail store networks; franchising networks; internet networks; services networks; credit-chains in industries; online social networks; etc.. The relationship between Complexity and Structural Change is well established in the physics, applied math and economic dynamics literatures. Traditional definitions and modeling of structural change have erroneously focused on changes in labor, technological progress, market share, and or capital – which are grossly inadequate in the new economy and post- global financial crisis (as confirmed by changes in the global retailing and housing industries and other industries). Also the modeling of structural change seems to be constrained by the availability of data, and often omits the relationship between structural change on one hand, and globalization, financial stability and international financial contagion. This article: i) introduces the Operations Strategy Model of structural change, explains how it differs from the Lewis Model of Structural Change; and explains the often omitted relationship between operations strategy (of companies and government agencies) and structural change; ii) introduces other new Complexity-based models/theories of Structural Change in industries; iii) reviews the relationships among Operations Research, Complexity and Structural Change; iv) explains the symbiotic relationship between structural change on one hand, and economic growth, financial stability, financial contagion and globalization; v) discusses the significant gap between academic research and practice and explains some issues and factors that should be considered in the development and testing of structural change models; vi) explains how alternative risk premia can be generated from new models of Structural Change.