Question
Which of the following does not make a part of India’s
Institutional Structure of Rural Banking? Economic growth in India has been a double-edged sword — higher incomes have led to significant declines in poverty, while structural changes in the economy have been accompanied by increased economic inequality. Recent years have seen growing interest in understanding the drivers of rising income inequality in India. However, due to severe data limitations, most of the discussion is focused on the national level. Rural India is home to 70% of the nation’s population. The rural population resides mainly in villages — the 2011 census reports roughly 800 million people living in more than 600,000 villages. Although most of rural India’s workforce remains primarily involved in agriculture, a cumulative process of diversification through increasing importance of non-farm activities has been taking place in recent decades. One study observes this phenomenon and its implications in Palanpur over a period of six decades from 1957–58 to 2015. While conventional, nationally representative surveys are not able to monitor inequality trends at the village level, our surveys measure household incomes for the entire village on five separate occasions spanned by the survey period. We employ a measure of income that is both highly detailed and has benefited from extensive cross-checking and validation. (Source- UNU)Solution
The institutional structure of rural banking today consists of a set of multi-agency institutions, namely, commercial banks, regional rural banks (RRBs), cooperatives and land development banks. They are expected to dispense adequate credit at cheaper rates. Money lenders are a part of informal banking system.
Which of the following is the primary reason why bias occurs in sampling?
In which programming language are pointers explicitly supported and used for memory manipulation?
Which of the following traversal algorithms is guaranteed to visit all vertices in the minimum number of edges in an unweighted graph?
Which of the following scheduling algorithms can cause the starvation of low-priority processes?
Which of the following best describes the difference between simple moving averages and exponential smoothing in forecasting?
In which scenario is stratified sampling most suitable?
In data management, what role does metadata play when working with a large dataset of customer transactions?
Which sampling technique involves dividing the population into mutually exclusive subgroups and then randomly selecting samples from each subgroup?
Which of the following best explains why sampling is used in data analysis?
Which of the following Excel functions is most appropriate for dynamically summarizing data from multiple tables by matching a key value?
