scholarly journals Estimation of Microfinance Demand and Supply: With Special Reference to Assam

2015 ◽  
Vol 2 (4) ◽  
pp. 308-314
Author(s):  
Gopal Kumar Sarma ◽  
Saundarjya Borbora

The paper delves to estimate microfinance demand, supply and its mismatch in India in general and Assam in particular. Since exact estimation is a bulky task, it adopts an approximation model based on poverty database, mixmarket database and some complementary reports on microfinance. The study shows that microfinance demand has shown a trend of increasing growth for India as well as Assam and stands its candidature as a potential matured market in future. The supply of microfinance for India as a whole is at low level, which shares only 0.70 per cent of gross domestic product of India. From the regional perspective, southern region dominates the supply of microfinance and Assam shares the least. The study indicates a huge mismatch between demand for and supply of microfinance and considering mixmarket average loan size all the regions of India are deficient in terms microfinance supply. The study further indicates some of the possible reasons for the mismatch.  Int. J. Soc. Sci. Manage. Vol-2, issue-4: 308-314

Author(s):  
Apriliansyah Mahmud ◽  
Ernawati Pasaribu

Unemployement is a multidimensional problem that have wide impact into progress and quality of one area. Based on that problem, it is necessary to have an  analysis of factor that affected this phenomena. One economy phenomenon of one area can be influenced by neighborhood economy activity. The purpose of this study is to know factors that affected open unemployemnet rate also answer the problem of neighborhood effect by spatial model. Based on result, variables that having spatial effect are open unemployement rate, count of poor citizen, and also gross domestic product. Beside of that, it is also known that error spatial model is feasible to be a model because having smallest AIC score.


Author(s):  
Eni Setyowati

Exchange rate measures the value of a certain foreign exchange from other foreign exchange's perspective. As the condition of economic changes, the exchange rate ma change substantially. The decrease of the value of a foreign exchange is called depreciation and the increase value of a foreign exchange is called appreciation.The equilibrium exchange rate will change along with the change of demand and supply. Factors causing the change of demand and supply curve among others are the amount of money supply, relative gross domestic product (GDP) and the level of relative interest rate.The research is aimed to analyze the influence of variables of Indonesian money supply, American money supply, Indonesian real Gross Domestic Product, American real Gross Domestic Product, deposits interest rate and LIBOR (London Interbank Offer Rates on SDR Deposit) both in short and long terms.One of the ways to analyze the influence of short term and long term is by developing the dynamic model. In this research, the analyzes of dynamic model was conducted with ENGEL-GRANGER ERROR CORRECTION MODEL approach which was developed by ENGEL-GRANGER (1987) based on GRANGER REPRESENTATION THEOREM.The ECM analyzes was chosen not only because of its ability to solve the problem of time series which is not stationer, and spurious regression and spurious correlation in the economic analyses but also its ability to discuss the consistence of empiric model with economic theory. Beside, ECM concept is also thought to be more realistic in observing the development of economics variables from the result of the analyzes during the time of observation. It was known that long-term exchange rate is influenced by Indonesia real Gross Domestic Product and the number of Indonesian money supply. The variable of Indonesian real Gross Domestic showed the significant result and the signal test was convenient with the theory. The variable which influence" short term exchange rate are the amount of Indonesian money supply, Indonesian real Gross Domestic Product, and Indonesian deposit interest rate. The three variables showed the significant result and the signal test was convenient with the theory.


2016 ◽  
Vol 6 (3) ◽  
pp. 12
Author(s):  
Alexandre Costa Quintana ◽  
Flávia Verônica Silva Jacques ◽  
Clea Beatriz Macagnan

Transparency in government actions strengthens the relationship between government and society. The goal of the present study was to ascertain the level of transparency of administrative information in the south of Brazil. This descriptive study, which employed statistical methodology, found a correlation between the presence of examined indicators and municipal gross domestic product (GDP). It also revealed that population; GDP and tax revenues are variables that, if jointly analyzed, can be used to aggregate municipalities that display similar behavior in terms of transparency.


Author(s):  
Agnė JOTAUTAITĖ ◽  
Eglė JOTAUTIENĖ

In this paper, export opportunities of textile products from Turkey to Lithuania are analyzed. The main goal of this article is to present an analysis of the opportunities to import textile products from Turkey to Lithuania. The empirical research basing on the statistical database analysis was used. The analysis of Turkey’s markets was showed that the economy is strongly dependent on exports of various products from Turkey and it is about one forth of Turkey’s GDP (Gross Domestic Product). The bulk of exports from Turkey is t o countries in the European Union. Turkey is one of the world’s largest manufacturers and exporters of textiles. The analysis of Lithuanian markets was indicated that Lithuania has a feasible market for imports due to its fast growing GDP, increasing labor wages and modernization of agriculture industry. Furthermore, advantageous and adequate policies of Lithuania’s foreign trade should encourage the development of imports to this country. The demand for textile products in Lithuania is growing rapidly and it is one of the most important sectors in fostering its economy


2016 ◽  
Vol 21 (1) ◽  
pp. 9-20
Author(s):  
Ersalina Tang

The purpose of this study is to analyze the impact of Foreign Direct Investment, Gross Domestic Product, Energy Consumption, Electric Consumption, and Meat Consumption on CO2 emissions of 41 countries in the world using panel data from 1999 to 2013. After analyzing 41 countries in the world data, furthermore 17 countries in Asia was analyzed with the same period. This study utilized quantitative approach with Ordinary Least Square (OLS) regression method. The results of 41 countries in the world data indicates that Foreign Direct Investment, Gross Domestic Product, Energy Consumption, and Meat Consumption significantlyaffect Environmental Qualities which measured by CO2 emissions. Whilst the results of 17 countries in Asia data implies that Foreign Direct Investment, Energy Consumption, and Electric Consumption significantlyaffect Environmental Qualities. However, Gross Domestic Product and Meat Consumption does not affect Environmental Qualities.


2017 ◽  
Vol 21 (2) ◽  
pp. 85-95
Author(s):  
John Marcell Rumondor

This research aims to understand the influenceof foreign investment, international trade, Gross Domestic Product per capita, agriculture and urbanization of the working population. Country used as an object in this research is Indonesia. This research uses the method of analysis Ordinary Least Square (OLS) and the multiple linear regression analysis method. Research period are from 1997 – 2012. The results showed that the international trade, Gross Domestic Product per capita, agriculture and urbanization have significantpositive influenceon the population work in Indonesia, but foreign investment has no significanteffect on the working population in Indonesia.


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