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How Equilibrium Occurs Using The As Ad Framework Economics Essay

This essay will explain the concepts of aggregate demand, aggregate supply and explore how nominal, real and potential gross domestic product are calculated, It will then…
Jain and Sandhu (2008) define aggregate demand as the sum total spent on all goods and services produced in a national economy over the period of time. The components of Aggregate Demand are; the expenditure from the consumption of collective households (C), that of capital investment (I), government expenditure on public services (G) and finally and the expenditure created from interactions between other economies; where imported goods and services (M) are subtracted from those that are exported (X). Therefore;
AD = C G I (X-M)
When this is transposed onto an Aggregate Demand the y-axis represents the price of goods at different levels and the x-axis is real GDP. The price levels in both aggregate demand and aggregate supply are The price levels used in both aggregate supply and aggregate demand are themselves aggregate price levels; representing that as while inflation may occur in some prices in the economy, deflation may be occurring in others therefore the price level used is an average of all prices in the economy (Sloman, 2006)
The curve is aggregate demand curve is downwards sloping, which means that there is an inverse relationship, as the price level of goods and services fall the nation is able to buy more represented in real GDP
Gross Domestic Product (GDP) is defined as ‘the value of output produced within a country over a twelve month period’ (Sloman, 2006, p373). It can be meassured by calculating national income, expenditure or production, all three values should be equal. (Sloman, 2007)
Nominal GDP is the result of this calculation using the current prices for goods within the year and is the same value as aggregate Demand. Real GDP (rGDP) allows for inflation by comparing the nominal GDP for that year with a base year. This is because inflation may make it appear that a country was producing more goods whereas it may be that production had fallen but the price of goods had increased. It is therefore rGDP which is on the x-axis of aggregate supply and demand curves. (Kroon, 2007)
The aggregate demand curve is downwards sloping for three reasons all of which assume that the money supply remains constant in the economy. The first is the wealth effect; when the cost of goods and services are higher, the economy experiences lower levels of consuming as individuals and businesses feel less wealthy and are therefore are more frugal with their resources. This means that purchasing power is decreased when prices are high and increased when the price levels are low. The second is the net exports effect means that as the price level of goods in the economy fall, the goods imported seem relatively more expensive, so therefore decreases while the number of goods exported increases causing an increase in rGDP. Finally, the interest rate effect; as the price level decreases people need to borrow less money so their consumption increases, reflected in increased aggregate demand and higher levels of rGDP (Tucker, 2009)
Turner (1993) defines aggregate supply as the sum total of national output. It is considered in both the short run and the long run because there are different factors of the labour market which show their effects over the two periods.
In the short run potential GDP, the wage rate and the price of the factors of production are all ceteris paribus. A change in any of these would mean that a new demand curve would need to be created. The only variables represented are the overall price level of goods are services and the amount that is produced and real GDP for that year.
In the short-run there is a positive correlation between price and the quantity produced. That is to say that as price levels increase, caused by an increase in aggregate demand, so too does the amount of goods and services produced in order to meet this increased demand. At lower price levels however, there is less aggregate demand and therefore less produced.
The LRAS curve is formed at the point on the short run aggregate supply curve where potential GDP is the same as real GDP and the labour market is in equilibrium. The points on the short-run aggregate supply curve to the left of the LRAS curve are when potential GDP is lower than real GDP and to the left show when potential GDP is higher than real GDP.
The long-run aggregate supply curve represents the relationship between price level and output at a level in the economy where full-employment output is occurring and the labour market is in equilibrium; the number of jobs is equal to the number of people seeking them. Although there will still be some frictional unemployment while individuals perhaps search for a better job and structural unemployment where those seeking employment are not able to meet the criteria or location of available work. The natural rate of employment is the level of unemployment that exists when the labour market is in equilibrium. This level of full-employment output is also known as potential GDP (Parkin, Powell and Matthews, 2008)
However, a change in price level or wages is not enough to move national output away from this level of full employment in long-run aggregate supply hence the curve is a vertical line rather than a slope showing a positive correlation as it does in short-run aggregate supply. (Kroon, 2007)
Equilibrium in the short run aggregate curve supply occurs when the aggregate supply curve crosses the aggregate demand curve; this gives the equilibrium price level and the equilibrium level of real GDP.
The Business Cycle [FIG >>>] depicts potential GDP or trend growth as the dashed line continuously rising as technological advances occur, the productivity of labour stocks improve or grow and capital is further invested. In the short term real GDP fluctuates around potential GDP which is characterised as four periods in the business cycle;
causing periods of expansion when the economy grows, recession when economic output falls and stagnation where little or no growth or decline occurs, contraction when economic growth slows down. (Sloman, 2007)
The reasons for fluctuations in real GDP are because of either an increase or decrease in aggregate demand or aggregate supply. http://welkerswikinomics.com/blog/wp-content/uploads/2008/01/businesscycle_1.jpeg
In the business cycle Real GDP is recorded quarterly and when it falls for more than two consecutive quarters a recession is declared. This lack of economic growth is caused by real GDP being less than potential GDP spending in the economy and therefore a fall in aggregate demand. This shifts the aggregate demand
In September 2012, the UK Government introduced quantitative easing in an attempt. Although no money was physically printed bonds were theoretically bought electronically which meant that the money supply in the economy increased. This had the effect of (British Broadcasting Corporation, 2012)
When a recession is occurring and there is a decrease

Impact Of Self Help Groups Economics Essay

Self-Help Groups means a group of 10-20 members which may or may not be registered representing financial intermediation, but the financial intermediation is not the only primary objective of the groups. The motive is to combine the access to low-cost financial services with a process of self management and development. NGOs or Government agencies usually form and support these SHGs. The members of these groups save the amount which is used for loans. Inspite of considerable expansion in the branch network, a large share of India’s population continuous to remain outside the formal banking system. Due to widespread rural bank branch network, the SHG-Bank Linkage Programme is very suitable to the Indian context. Although various alternative ways are being experimented in order to meet the objectives of financial inclusion. The SHG-Bank Linkage Programme is considered a most successful, promising and widely accepted model in India. Self Help Group Bank Linkage Programme- a pilot project started by NABARD is widely accepted model as one of the largest and successful one in the world. The present study is analytical and based upon secondary data which has been collected from different published reports, journals and existing available literature. The objective of this study is to evaluate the progress and impact of self help group bank linkage programme.
Key Words: Growth, Models, Self-Help Group, SHG-Bank Linkage Programme.
Introduction The Self-Help Group (SHG) movement originated in Bangladesh under the Leadership of Noble Laureate Mohamed Yunus. It is a noble mission- an innovative concept that has its roots in Bangladesh and has touched every part of the globe. In order to achieve the mission of reaching those families who did not access to credit by any formal financial institution and, therefore, were dependent on informal sources and moneylenders, the National Bank for Agriculture and Rural Development (NABARD) introduced the “SHG – Bank Linkage Programme” as a pilot project in 1992. Thereafter, RBI had advised commercial banks to participate actively in this programme. Subsequently, this programme was further extended to all Regional Rural Banks (RRBs) and cooperative banks. SHGs through the network of commercial banks, RRBs cooperative banks, NABARD and NGOs has been largely supply driven as well as a recent approach in the provision of financial services to the poor. This paper is an attempt to analyse the SHGs movement in India as these are helpful in order to alleviate poverty and women empowerment. The present study is analytical and based upon secondary data which has been collected from different published reports, journals and existing available literature. The objective of this study is to evaluate the progress of self help group bank linkage programme.
Self Help Group Self Help Group means a group of 15-20 members which have become a common vehicle of development covering various development programmes. Financial intermediation is not the only objective but the purpose behind this is to combine the access to low cost financial services with a process of self management and development. SHGs are usually formed and supported by NGOs or Government agencies. SHGs are small, informal and homogenous groups of not more than20 members each. Any group larger than the size of 20 members has to be registered under Indian legal system. So it is recommended to be informal to keep them away from bureaucracy, corruption, unnecessary administrative expenditure and profit motive. Groups are also expected to be homogenous so that members can participate freely without any fear as well as conflicting interest. SHGs have also emerged as a powerful device and an effective medium for delivering credit to the poor in the rural economy. It helps in poverty alleviation and women empowerment. Self-help groups (SHGs) movement has triggered off a silent revolution in the rural credit delivery system in India.
SHG Bank Linkage Programme The Self-Help Group Bank Linkage Programme (SHBL) which started as a pilot programme in 1992 has developed at a very fast rate with time. SHG-Bank Linkage Programme was started on the basis of the recommendation of S K Kalia Committee. While the SHG-bank linkage Programme has experienced exponential growth over the past decade, there remain large regional disparities in the growth of the SHG movement with limited progress in certain regions. Though the SHG-Bank Linkage Programme contributed to improve economic conditions, social change was not as apparent, and there are concerns of sustainability and further development of self reliance of the institutions. The SHG-Bank Linkage Programme has the following objectives:
To develop mutual faith and confidence between the rural poor and bankers
To combine sensitivity, flexibility and responses of the informal credit system with the strength of administration capabilities, technical strength and the financial resources of the formal financial institutions.
To expand credit flow/ financial services to the rural poor with less transaction costs.
To alleviate poverty and empower the women.
Models of SHG-Bank Linkage Programme The strategy behind these models is to form small, cohesive and participative groups of the poor and encourage them to pool their savings regularly and use the pooled savings in order to make small interest bearing loans available to the members. Bank credit also becomes available to the group to augment its resources for the purpose of lending to its members. The SHG-bank linkage program has proved to be the major supplementary credit delivery system with a wide acceptance by banks, NGOs and various government departments. There are three models of SHG-bank linkages that have evolved over time, especially in India.
MODEL I. SHGs formed and financed by banks In this model, banks themselves take up the work of forming and nurturing the groups, opening their bank accounts and providing them with bank loans after satisfying themselves as to their maturity to absorb credit. Upto March 2006, about 20% of the total number of SHGs financed was from this category. This shows an increase of 61.63 percent in bank loan to SHGs over the position as on March 2005 reflecting an increased role of banks in promoting and nurturing SHGs. Here, the banks act as the SHGPI.
MODEL II. SHGs formed by NGOs and formal organisations but directly financed by the banks In this model, groups are formed by NGOs (in most cases) or by the government agencies. The groups are nurtured and trained by the agencies. The bank then provides credit directly to the SHGs after observing their operations and maturity to absorb credit. While the bank provides loans to the groups directly, the facilitating agencies continue their interactions with the SHGs. Most linkage experiences begin with this model, where NGOs play a major role. This model has also been popular with and more acceptable to banks, since some of the difficult functions of social dynamics are externalized. This model continuous to have a major share. About 70 percent of the total number of SHGs is financed under this model.
MODEL III. SHGs financed by banks using NGOs and other agencies as financial intermediaries For various reasons, banks in some areas are not in a position even to finance SHGs promoted and nurtured by other agencies. In such cases, the NGOs act as both facilitators and microfinance intermediaries. First, they promote the groups, nurture and train them and then they approach banks for bulk loans for further lending to SHGs. In other words, banks take the sole responsibility for promoting, developing and financing SHGs. In fact, this programme requires considerable effort by the bank staff towards the formation of SHG. This model is not so encouraging.
Models of SHG Linkages Bank Loans
Model Number of Linkages % of Total Amount (Rs. In million) % of Total
1. 13561 14 339.79 18
2. 65636 70 1339.95 69
3. 15448 16 250.10 13
A major share of population in India continuous to remain outside the formal banking system inspite of considerable expansion in the branch network. And various alternative models are being experimented in order to meet the objective of financial inclusion. The SHG-Bank Linkage model is considered a most successful, promising and widely accepted model in India. This model was introduced in 1991-92 with a pilot project of linking 500 SHGs with banks and this figure has gone up to more than 34 lakh by the end of March 2008.Cummulatively, these SHGs have assessed credit of Rs. 22,268 crore from banks during the period. About 4.1 crore poor have gained access to the formal system through the programme. The number of SHGs linked to banks has increased from 32995 during 1998-99 to 3477965 during 2007-08 during the period of last about ten years. It means there is an impressive 68 percent compound annual growth rate. But the compound annual growth rate is almost double each year for the cumulative bank loan to SHGs which is 94 percent. The faster growth in bank loans to SHGs has led to almost a four-fold increase in the average loans per SHG from Rs. 16,816 in 1999-2000 to Rs. 63,926 in 2007-08. These figures reflect the outstanding success of the programme in the Chart 1 given below.
Chart I: Growth of SHG-Bank Linkage Programme 4
Progress of the SHG-Bank linkage Programme NABARD introduced an effective SHG-Bank Linkage Programme in order to provide credit to very small borrowers. The introduction of the SHG-Bank linkage Programme to discard the general perception of bankers that customers with no formal education or source of income or of no use to the bank and thus are not welcome. Since the year 2000, the statistical data show the rate of growth in SHGs linked under the programme is gradually falling in the year 1999-2000 the growth rate was more than 245% whereas it fell below 38.3% in 2005-06. However, the higher growth in the late nineties may be due to initial penetration of SHGs under the programme. With the formation of new SHGs, the scope is widened which will improve the condition of the poor households and it should be worked upon. Table 1 shown below the cumulative progress of SHG-Bank Linkage Programme.
Table I: Cumulative Progress of SHG-Bank Linkage Programme (INR in crores) Year SHGs Linked Bank Loan Refinance Assistance 1992-93
255
0.29
0.27
1995-96
4757
6.06
5.66
1998-99
32955
57.07
52.09
2002-03
461478
2048.67
796.50
2005-06
2238565
11397.46
4159.70
2006-07
2924973
17967.46
5452.56
2007-08
3477965
26816.72
7068.06
2008-09
4559443
39070.23
9688.09
Note:
From 2006-07 onwards, data on number of SHGs financed by banks and bank loans are inclusive of Swarnajayanti Gram Swarozgar Yojna(SGSY) SHGs and existing groups receiving repeat loans.
Source: NABARD Annual Report 2008-09
The above table shows the cumulative progress in this area with the amount of refinance assistance during the respective periods.
Disparity in the SHG-Bank linkage Programme SHG-Bank Linkage Programme was started with the objective of extending the outreach of banking the poor, who mainly comprise the marginal farmers, landless labourers, artisans and craftsmen and others engaged in the small businesses such as vending and hawking. Now the important point is that whether the programme has really made inroads into the regions where concentration of poverty is comparatively higher. And this can be found if we compare the poverty ratio at all India level with the ratio of various regions.
Earlier, during 2004-05, the all-India poverty ratio stood at about 27.6 per cent while the Northern (15.7 per cent), North- Eastern (19.2 per cent), Southern (19.8 per cent) and Western region (25.8 per cent) had lower than the all-India poverty ratio, Central (35 per cent), and Eastern Region (36.2 per cent) had higher poverty ratios than at the all-India level. Now this variation is comparatively changed with the expansion of number of SHGs. Similarly, there has been skewed development of SHG-Bank linkage programme on geographical basis in India.
There is wide regional disparity both in terms of the spread of SHGs linked to banks and cumulative bank loans disbursed under the programme. In March 2008, while the Southern Region accounted for 48.2 per cent of the total SHGs, the share of North- Eastern Region was just 3.4 per cent as depicted in table 2. In terms of share in the total bank loans to SHGs, the region-wise differential gets further magnified.
So far, the SHG movement in the country is mostly south-centric and it is yet to take off in the real sense in other regions of India.
Table II: Region-wise Progress of SHG-Bank Linkage Programme (As on March 31, 2008) Regions Share (%) in Programme No. of SHGs Loans to SHGs (Rs. crore) Average Loans per SHG (Rs.) No. of SHGs Loans to SHGs SHGs per Lakh Population Northern
2,30,740
851
36,899
6.6
3.8
156
North Eastern
1,19,520
327
27,364
3.4
1.5
283
Eastern
6,72,626
2,372
35,268
19.3
10.7
274
Central
4,05,707
1,501
36,990
11.7
6.7
142
Western
3,74,561
1,320
35,254
10.8
5.9
229
Southern
16,74,811
15,896
94,915
48.2
71.4
703
All India
34,77,965
22,268
64,027
100.0
100.0
310
Source: NABARD
While the Southern Region accounted for 71.4 per cent of the total loans to SHGs, the share of North-Eastern Region was just about 1.5 per cent. For all regions excluding Southern Region, even though the share of total SHGs linked to banks was close to 51.8 per cent, their share in total loans to SHGs was only 28.6 per cent implying that adequate credit is not being routed through SHGs in these regions. As the regions vary in geographical area and population, the number of SHGs is normalized by the population of the region and SHG per lakh population has been taken as a better indicator of SHG spread in the respective regions. The number of SHGs per lakh population for the Southern Region is 703, which is more than double the average at all-India (310) and almost five times of the Central Region (142).
All these data given in the table shows an impressive growth in southern region followed by eastern, central and others.
The SHG Bank Linkage Model has made considerable progress since its inception in the early 1990s and agency wise outstanding number of credit linked SHGs and amount of loans with Banks is presented in Table3 given below.
Table III: Bank Loans Outstanding under SHG-Bank Linkage Programme Agency 2008 – 09 2009-10 No. of SHGs (in’000) Amount (Rs. In Crores) No. of SHGs (in’000) Amount (Rs. In Crores) Commercial Banks
2831
16149
3237
20165
Regional Rural Banks
978
5224
1104
6144
Cooperative Banks
415
1306
510
1729
Total
4224
22679
4851
28038
Source: Status of Microfinance in India 2009-10
Banks have financed 15.87 lakh SHGs, including repeat loan to the existing SHGs, with bank loans of Rs. 14,453 crores during 2009-10. Out of the total loans disbursed during 2009-10, SHGs financed under SGSY accounted for 2.67 lakh (16.9%) with bank loan of Rs. 2198.00 crore (15.2%). As on March 2010, the average loan amounts outstanding per SHG and per member were Rs. 57795 and Rs. 4128 respectively. The estimated number of households covered under the Self Help Group (SHG)-Bank Linkage Programme was 9.7 crores up to 31 March 2010.
Current Position of SHG-Bank Linkage Programme Though there are different models for purveying micro finance, the Self-Help Group Bank Linkage Programme has emerged as the major programme in the country. It is being implemented by commercial banks, regional rural banks (RRBs), and cooperative banks. In 2009-10, 1.59 million new SHGs were credit-linked with banks, and bank loan of 14,453 crore (including repeat loan) was disbursed to these SHGs. Further, about 6.95 million SHGs maintained savings accounts with banks at the end of March 2010. On an average, the amount of savings per SHG was 8,915 as compared to the amount of credit outstanding of 57,795 in 2009-10. While there was a continued increase in the amount of credit outstanding per SHG, there was a fluctuating trend in the amount of saving per SHG in the recent years.
According to the Status of Micro Finance in India 2009-2010 released by National Bank for Agriculture and Rural Development (NABARD) there are 69,53,000 SHGs in the country savings linked with banks and 48,51,000 SHGs having loan outstanding as on 31 March 2010. The estimated number of households covered under this model is about 970 lakhs. The total savings amount of all the SHGs with banks as on 31 March 2010 amounts to Rs.6198.71 crore and the total amount of loans outstanding against SHGs as on 31 March 2010 is Rs.28038.28 crore.
Table IV: New SHGs Financed by Banks during the Year Year New SHGs Financed by Banks during the Year No. (lakh) Amount (Rs. crore) Growth (%) 2007-08
12.28
8,849.26
— 2008-09
16.09
12,256.51
38.50
2009-10
15.87
14,453.30
17.90
2010-11
11.96
14,547.73
0.65
Source: National Bank for Agriculture and Rural Development (NABARD)
Under the SHG-Bank Linkage Programme as on 31 March 2011, 74.62 lakh SHGs held savings bank accounts with total savings of Rs. 7,016 crores as against 69.53 lakh SHGs with savings of Rs.6, 199 crores as on 31 March 2010. By December 2011, another 2.98 lakh SHGs have come under the ambit of the programme, taking the cumulative number of saving-linked groups to 77.60 lakh SHGs. As on 31 March 2011, 47.87 lakh SHGs had outstanding bank loans of Rs. 31,221 crores, as against 48.5 lakh SHGs with bank loans of Rs. 28,038 crore as on 31 March 2010. This represents a decline of 1.3 percent in the number of SHGs and a growth of 11.4 percent in bank loans outstanding to SHGs as per table 4 given above. During 2011-12, (upto December 2011), 4.51 lakh SHGs have been financed with an amount of Rs. 6,791.46 crore. Thus, the SHG-Bank Linkage Programme is considered as the largest financial inclusion programme in the world.
Conclusion SHG-Bank Linkage Programme is developed in India to provide finance to the vast rural poor. In this programme, the informal SHGs are credit linked with the formal financial institutions. The SHG-Bank Linkage Programme has emerged as a dominant, relevant and effective prorgramme in terms of borrowers and loans outstanding in India. It is flexible, independence creating, and imparts freedom of savings and borrowing according to the heterogeneous needs and requirements of the group members.
Through this program, the Reserve Bank of India and NABARD has tried to promote relationship banking, i.e., “Improving the existing relationship between the poor and the bankers with the social intermediation of the NGOs.” The SHG-bank linkage program in India is rapidly expanding its outreach under the pioneering initiative of NABARD, the monitoring and supervision of RBI, and the promotional policies of the government of India. At the grass root level the program is being implemented by the commercial banks, cooperatives, and regional rural banks, with government agencies. Self-help groups (SHGs) play today major role in poverty alleviation in rural India. SHGs have changed the life of a particular individual or group for the better. This is considered not only a tool for poverty alleviation but also has proven to be relevant in offering women the possibility to break gradually away from the exploitation and isolation in India. The SHG-Bank Linkage Programme has provided a more favorable environment for enhancing India’s potential for greater equitable growth with empowerment while considering the positive signs in their performance.

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