Credit plays a vital role in rural development in the following ways:
Investment in Agriculture: Credit enables farmers to invest in seeds, fertilizers, irrigation, and technology, boosting agricultural productivity.
Rural Infrastructure Development: Credit facilitates the construction of roads, warehouses, and rural markets, enhancing connectivity and storage facilities.
Entrepreneurship Promotion: Access to credit supports small-scale industries and self-employment opportunities, fostering rural entrepreneurship.
List-I | List-II |
(A) Rural banking | (I) Micro-credit programmes |
(B) Self-Help Groups | (II) Golden revolution |
(C) Agricultural marketing | (III) Land development banks |
(D) Horticulture | (IV) Distribution of different agricultural commodities across the country |
List - I (Rural Settlement Patterns) | List - II (Their Development) | ||
(A) | Rectangular Pattern | (I) | On both sides of a river with bridge or ferry |
(B) | Circular Pattern | (II) | Where several roads converge |
(C) | Double Village | (III) | Develop around lakes |
(D) | Star like Pattern | (IV) | Settlement found in Plain areas |
Fit a straight-line trend by the method of least squares for the following data:
\[ \begin{array}{|c|c|c|c|c|c|c|c|} \hline \textbf{Year} & 2004 & 2005 & 2006 & 2007 & 2008 & 2009 & 2010 \\ \hline \textbf{Profit (₹ 000)} & 114 & 130 & 126 & 144 & 138 & 156 & 164 \\ \hline \end{array} \]When observed over a long period of time, a time series data can predict trends that can forecast increase, decrease, or stagnation of a variable under consideration. The table below shows the sale of an item in a district during 1996–2001:
\[ \begin{array}{|c|c|c|c|c|c|c|} \hline \textbf{Year} & 1996 & 1997 & 1998 & 1999 & 2000 & 2001 \\ \hline \textbf{Sales (in lakh ₹)} & 6.5 & 5.3 & 4.3 & 6.1 & 5.6 & 7.8 \\ \hline \end{array} \]