Microfinance as a driving force for socio-economic development 👨‍💻️ in emerging economies. Measuring its effectiveness in North ⬆️ India ​🇮🇳​

Microfinance as a driving force for socio-economic development 👨‍💻️ in emerging economies. Measuring its effectiveness in North ⬆️ India ​🇮🇳​

👓 Kumar Deepam
Microfinance as a driving force for socio-economic development 👨‍💻️ in emerging economies. Measuring its effectiveness in North ⬆️ India ​🇮🇳​

Microfinance as a driving force for socio-economic development 👨‍💻️ in emerging economies. Measuring its effectiveness in North ⬆️ India ​🇮🇳​

✅ Masters Thesis from the year 2️⃣0️⃣1️⃣5️⃣ in the subject Business 👨‍💼 economics - Economic Policy, grade: A2️⃣, University of Limerick (Kemmy Business 👨‍💼 School 🏫), course: MSc in Financial Services, language: English 🏴󠁧󠁢󠁥󠁮󠁧󠁿, abstract: This thesis examines the effectiveness of microfinance in the socio-economic development 👨‍💻️ with the major focus on poverty reduction and ➕ gender equality (in the sense of women 👯‍♀️ empowerment) in Northern part of India ​🇮🇳​. The purpose of this research is to measure the effectiveness of microfinance in the sense of socio-economic development 👨‍💻️ in the Northern part of India ​🇮🇳​. The aim has been accomplished by using the methods of statistical analysis and ➕ through the examination of primary and ➕ secondary data. The methods of data analysis that were employed in the research incorporated chi-square ⏹️ tests, independent sample t-tests and ➕ binary logistic regressions. The data has been analysed based on the survey of 100 💯 respondents, who were below nationally defined poverty line in Lucknow (Major metropolitan city 🏙️ of North ⬆️ India ​🇮🇳​) and ➕ areas nearby. The survey data was divided into two 2️⃣ parts i.e. 6️⃣0️⃣% of the respondents were the non-microfinance respondents and ➕ remaining 4️⃣0️⃣% were the microfinance recipients. Recommendations regarding the research have been based on the findings 🔎 from the analysis. Findings 🔎 of the study have shown that young 👶 entrepreneurs who are below poverty line are more likely to apply for the micro loan. This has been explained by the binary logistic regression analysis...



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