Factfile - Economy
Regional Accounts 2003
5. Multiplier Analysis
5.1 Introduction
5.1.1 This chapter begins by reporting the values of various multipliers which can be produced from simple manipulation of the SAM reported in the previous chapter. Essentially, these multipliers measure how the Western Isles economy would behave in response to external “impacts” according to the most straightforward assumptions, e.g. unchanged “technology” (cost structures), no supply-side constraints, and constant household consumption patterns.
5.1.2 Four different types of multipliers are presented:
§ Open IO or Type 1 output multipliers, which measure the effect of a change in final demand (e.g. an increase in export demand) for one sector on the output of the whole economy; taking into account the inter-sectoral purchases of input goods and services.
§ SAM output multipliers, which in addition, take into account the distribution of income and the spending behaviour of local households as more (or less) income is available as a result of the initial injection
§ SAM household multipliers, which measure the total effect of a unit change in income of a particular household type on the incomes of all households in the economy.
§ Employment multipliers, which measure the total number of jobs created in the economy as a result of an increase of employment in one sector. In addition, employment effects are presented which measure the amount of employment generated in the whole economy as a result of a unit increase in demand for output from a particular sector.
5.1.3 The multiplier analysis is useful for identifying the extent to which different sectors and households have the potential to generate income and employment in the economy as a whole. The chapter concludes by considering the extent to which the economy is dependent on different types of final demand – local government demand, central government demand, Gross Fixed Capital Formation and exports. The results of this so-called final market analysis are contrasted with those found in analysis of the 1997 SAM.
5.2 Sectoral multipliers
5.2.1 Two types of ‘output’ multipliers are shown in Table 5.1. The first, “open IO” or basic (Type 1) multipliers show the total change in the value of output in the economy due to a unit increase in final demand for a particular sector’s output. Since only the industry accounts are treated as endogenous in this case, i.e. the behaviour of factors (such as households etc.) are treated as exogenous and independent of industrial activity levels, these multipliers include the direct and indirect effects but not induced effects.
5.2.2 The largest open output multiplier in the Western Isles economy is possessed by food and drink manufacturing and processing, at a value of 1.577. Therefore, a £1000 increase in demand for output from Western Isles food and drink manufacturers and processors is estimated to generate an additional £577 in the output of all sectors of the local economy, as the businesses within this sector increase their demand for inputs and services in the Western Isles economy. A decline of £1000 in the value of demand for food and drink products has an equally large but negative effect on the Western Isles economy.
5.2.3 The next largest multipliers are possessed by Sea Fishing (1.55), Media (1.51), Agriculture (1.41) and Fish Processing, Preserving and Wholesaling (1.40). The same five sectors were found to have the highest IO multiplier values in the 1997 study of the region although the rank position of the sectors has changed.
5.2.4 Six sectors have open IO multipliers lower than 1.1. These are all service sectors reflecting the fact that these sectors purchase few or no inputs. The results thus demonstrate the still important role of primary sectors in the Western Isles economy: although they may have declined in relative or absolute size, fluctuations in demand for their products (which are mainly exported to the mainland and beyond) have unusually high effects on the Isles economy. In general the multipliers are all fairly low as expected, given the open nature of the Western Isles economy.
Table 5.1 Open IO and SAM output multipliers, 2003
|
Industry |
Open IO (Type 1) |
Rank |
SAM |
Rank |
|
1 |
Agriculture |
1.412 |
4 |
1.494 |
8 |
|
2,3,5 |
Sea fishing |
1.550 |
2 |
1.739 |
2 |
|
4 |
Fish farming |
1.140 |
16 |
1.382 |
12 |
|
6 |
Electricity, gas, water |
1.300 |
8 |
1.450 |
9 |
|
7 |
Extraction (of ores, crude petrol etc.) |
1.256 |
9 |
1.519 |
6 |
|
8 |
Textiles |
1.342 |
7 |
1.512 |
7 |
|
9 |
Pottery and jewellery |
1.113 |
19 |
1.291 |
23 |
|
10 |
Food and drink manuf. & processing |
1.577 |
1 |
1.742 |
1 |
|
11 |
Fish process., preserving, wholesaling |
1.404 |
5 |
1.646 |
4 |
|
12 |
Other manufacturing |
1.111 |
20 |
1.294 |
22 |
|
13 |
Construction |
1.179 |
14 |
1.350 |
15 |
|
14 |
Distribution |
1.128 |
17 |
1.324 |
16 |
|
15 |
Hotels |
1.225 |
10 |
1.406 |
11 |
|
16 |
Other accommodation |
1.211 |
11 |
1.313 |
18 |
|
17 |
Catering |
1.026 |
24 |
1.283 |
24 |
|
18 |
Land transport |
1.127 |
18 |
1.376 |
13 |
|
19 |
Air transport |
1.352 |
6 |
1.577 |
5 |
|
20 |
Sea transport |
1.170 |
15 |
1.351 |
14 |
|
21 |
IT services and telecommunications |
1.192 |
13 |
1.432 |
10 |
|
22 |
Banking and Insurance |
1.042 |
23 |
1.123 |
26 |
|
23 |
Media |
1.514 |
3 |
1.708 |
3 |
|
24 |
Education |
1.069 |
21 |
1.230 |
25 |
|
25 |
Health |
1.059 |
22 |
1.298 |
19 |
|
27 |
Other public services |
1.204 |
12 |
1.317 |
17 |
|
28 |
Other services |
1.007 |
25 |
1.297 |
21 |
|
29 |
Public administration |
1.000 |
26 |
1.298 |
20 |
|
5.2.5 SAM output multipliers are defined similarly to the open IO multipliers above, but in this case the factors, accounts and household groups are treated as endogenous in the system. Thus the SAM multiplier effects allow for induced feed-backs as re-spending of incomes occurs. Technically, the model solves for the structure of production, the distribution and level of income in the economy simultaneously.
5.2.6 The second column of multipliers in Table 5.1 shows the values of these SAM multipliers. Again food and drink processing has the largest multiplier value of 1.742. In other words a £1000 increase in demand for output from the Food and Drink Processing sector is estimated to generate an additional £742 in the output of all sectors of the local economy. In the case of the SAM model, this comes about partly as a result of increased demand for inputs and services in the Western Isles economy and partly because some of the extra wages, salaries and profits of those working in all sectors affected is spent within the region. The Food and Drink Processing sector is followed by largely the same group of sectors as in the open input output multiplier case although Agriculture slips lower down the rank position reflecting the low wages and salaries of this sector and those most closely linked to it.
5.2.7 The lowest SAM multiplier value belongs to banking and insurance at 1.123. Many of the other service sectors perform much better when SAM multipliers are considered rather than IO multipliers because the re-spending by households whose incomes come mainly from these sectors helps to generate additional output effects over and above those relating to inter-industry dependencies.
5.2.8 Table 5.2 compares the magnitude of SAM multipliers and the rank positions of sectors (as estimated from the 2003 SAM) to those found in the 1997 study. The table indicates that the magnitude of multipliers has decreased over the period. There are four factors which may have lead to this finding: changes in production technology reducing dependence on local inputs and local labour; decreased reliance on local suppliers and increased use of imports and/or non-local labourers in production; changes in household preferences in terms of expenditure; and change in the source of household expenditure so that more is purchased from non local sources.
5.2.9 Although there have been changes in the rank position of sectors, these changes are in the majority of cases limited to increases or decreases of one or four places within the ranks. The one exception indicated in Table 5.2 is that of the education sector which has fallen from 17th position in 1997 to 25th position in 2003.
Table 5.2 Changes in rank position of sectors with highest and lowest SAM multipliers
|
Industry |
2003 SAM multipliers |
Rank |
1997 SAM multipliers |
Rank |
Change in rank positions |
||
|
Top 5, 2003 |
|
||||||
10 |
Food and drink processing |
1.742 |
1 |
1.968 |
3 |
2 |
||
2 |
Sea fishing |
1.739 |
2 |
1.907 |
4 |
2 |
||
23 |
Media |
1.708 |
3 |
1.786 |
5 |
2 |
||
11 |
Fish processing |
1.646 |
4 |
1.983 |
2 |
-2 |
||
19 |
Air transport |
1.577 |
5 |
1.517 |
9 |
4 |
||
|
Bottom 5, 2003 |
|
||||||
12 |
Other manufacturing |
1.294 |
22 |
1.350 |
25 |
3 |
||
9 |
Pottery and jewellery |
1.290 |
23 |
1.351 |
24 |
1 |
||
17 |
Catering |
1.283 |
24 |
1.379 |
21 |
-3 |
||
24 |
Education |
1.230 |
25 |
1.406 |
17 |
-8 |
||
22 |
Banking and Insurance |
1.123 |
26 |
1.146 |
26 |
0 |
||
5.3 Household multipliers
5.3.1 The SAM household multipliers shown in Table 5.3 measure the total effect of a unit change in income of a particular household group (rather than change in demand for sectoral output as in the previous section) on the incomes of all households in the economy. This effect might be brought about by, for example, a change in the income tax regime, or a change in value of transfer earnings (social security payments, pensions, etc.) from outside the region. One interpretation of these multipliers is that they measure the “trickle-down” effect of changed income or wealth in one group on society in general.
5.3.2 As in the 1997 study, retired households in the Western Isles generate the largest increase in total household income. For this group, a £1000 expenditure injection (due, for example, to decreased direct taxation or increased pensions) would result in an additional £205 increase in total Western Isles household income. This £205 increase mainly accrues to households without children, and, to a lesser extent, households with children: even though neither of these household types benefit directly from the injection, they benefit through the economic activity stimulated by the injection.
5.3.3 As was the case with the output multipliers, the magnitude of the SAM household multiplier is shown to have decreased between 1997 and 2003 as a result of a combination of factors. The most important in the case of the household multipliers will probably be changes in the consumption and sourcing patterns of households in the region.
Table 5.3 SAM household multipliers, Western Isles 2003
|
Injection to: |
||
Impact on: |
Adults, no dependants |
Adults plus dependants |
Retired |
Adults, no dependants |
1.088 |
0.090 |
0.118 |
Adults plus dependants |
0.064 |
1.068 |
0.084 |
Retired |
0.002 |
0.005 |
1.003 |
Total multiplier, 2003 |
1.154 |
1.163 |
1.205 |
Total multiplier, 1997 |
1.194 |
1.203 |
1.238 |
Difference |
-0.040 |
-0.040 |
-0.033 |
5.4 Employment effects and employment multipliers
5.4.1 The employment effects arising from a policy change or stimulus to an economy are often considered critical. Table 5.4 presents various measures associated with employment. The first column of figures ‘employment coefficients’ measure the amount of employment (measured in full-time equivalents, ‘FTEs’) required per unit output of each sector. As shown, the highest value is given by public administration, with 0.092 FTE jobs required per £1000 of own “output”. This is followed by other private services and other manufacturing.
5.4.2 Perhaps more interestingly, employment effects measure the amount of employment generated in the whole economy as a result of a unit increase in demand for output from a particular sector. These exceed the values of the employment coefficients, since inter-industry links are taken into account. For example, sea fishing has an employment effect of 0.053, indicating that a £1000 increase in final demand for sea fish output leads to a total increase in Western Isles employment of 0.053 FTEs or alternatively a £1 million increase in such final demand leads to 53 additional jobs, some of which will be in the sea fish sector, others elsewhere in the economy. Arguably, employment effects are the most useful measures from a policy perspective in assessing the potential of a sector to generate knock-on-benefits in the economy as a whole.
5.4.3 Employment multipliers measure the increase in total employment resulting from a unit increase in employment in one particular sector. The final columns of Table 5.4 show that the highest values, with over 2 FTE jobs generated for every one in the initial sector, are shown by other public services, fish processing, and air transport. All these sectors have quite low employment coefficients thus it follows that for a whole extra job to be created in these sectors, the boost to the economy has to be significant and strong economy-wide employment benefits follow.
Table 5.4 Employment coefficients, effects and multipliers, Western Isles 2003
|
|
Employment Coefficients* |
Employment Effects** |
Employment Multipliers *** |
|||
|
|
value |
rank |
value |
rank |
value |
rank |
1 |
Agriculture |
0.015 |
20 |
0.025 |
20 |
1.658 |
7 |
2,3,5 |
Sea fishing |
0.037 |
5 |
0.053 |
3 |
1.431 |
10 |
4 |
Fish farming |
0.009 |
25 |
0.017 |
24 |
1.796 |
4 |
6 |
Electricity, gas, water |
0.021 |
13 |
0.030 |
14 |
1.439 |
9 |
7 |
Extraction, ( of ore, petroleum etc) |
0.031 |
8 |
0.041 |
8 |
1.309 |
16 |
8 |
Textiles |
0.037 |
4 |
0.051 |
4 |
1.381 |
12 |
9 |
Pottery and jewellery |
0.030 |
9 |
0.035 |
10 |
1.186 |
22 |
10 |
Food manuf. & proc’g |
0.031 |
7 |
0.044 |
6 |
1.407 |
11 |
11 |
Fish proc’g, prsv’g,whol’g |
0.014 |
21 |
0.031 |
13 |
2.242 |
2 |
12 |
Other manufacturing |
0.040 |
3 |
0.046 |
5 |
1.138 |
24 |
13 |
Construction |
0.030 |
10 |
0.037 |
9 |
1.243 |
19 |
14 |
Distribution |
0.020 |
15 |
0.027 |
16 |
1.341 |
14 |
15 |
Hotels |
0.021 |
12 |
0.029 |
15 |
1.343 |
13 |
16 |
Other accommodation |
0.019 |
17 |
0.025 |
19 |
1.333 |
15 |
17 |
Catering |
0.035 |
6 |
0.041 |
7 |
1.152 |
23 |
18 |
Land transport |
0.012 |
23 |
0.019 |
23 |
1.639 |
6 |
19 |
Air transport |
0.012 |
22 |
0.026 |
17 |
2.122 |
3 |
20 |
Sea transport |
0.020 |
14 |
0.026 |
18 |
1.273 |
18 |
21 |
IT services and telecoms |
0.015 |
19 |
0.024 |
21 |
1.550 |
8 |
22 |
Banking and insurance |
0.010 |
24 |
0.012 |
26 |
1.205 |
20 |
23 |
Media |
0.019 |
16 |
0.032 |
12 |
1.698 |
5 |
24 |
Education |
0.016 |
18 |
0.021 |
22 |
1.308 |
17 |
25 |
Health |
0.029 |
11 |
0.035 |
11 |
1.200 |
21 |
27 |
Other public services |
0.006 |
26 |
0.014 |
25 |
2.467 |
1 |
28 |
Other services |
0.058 |
2 |
0.063 |
2 |
1.098 |
25 |
29 |
Public administration |
0.092 |
1 |
0.098 |
1 |
1.061 |
26 |
Notes:
* FTEs per £’000 output
** FTEs generated throughout whole economy in response to £’000 change in final demand for the sector’s output
** FTEs generated throughout whole economy in response to a unit increase in FTEs in the sector.
5.4.4 Again, compared with findings from the 1997 study, the magnitude of employment multiplier effects on the Western Isles economy has decreased (see Table 5.5). While some sectors (for example food and drink manufacturing and processing) appeared to have less employment generating potential than in previous years, the rank positions of most sector has remained fairly constant. The service sectors have high employment coefficients and thus low employment multipliers.
Table 5.5 Changes in rank position of sectors with highest and lowest employment multipliers
|
Industry |
2003 Employment multipliers |
Rank |
1997 Employment multipliers |
Rank |
Change in rank positions |
||
|
Top 5, 2003 |
|
||||||
11 |
Fish proc'g, prsv'g,whol'g |
2.242 |
2 |
3.214 |
1 |
-1 |
||
19 |
Air transport |
2.122 |
3 |
2.833 |
2 |
-1 |
||
10 |
Food manuf. & proc'g |
1.407 |
11 |
2.303 |
3 |
-8 |
||
27 |
Other public services |
2.467 |
1 |
2.200 |
4 |
3 |
||
4 |
Fish farming |
1.796 |
4 |
2.100 |
5 |
1 |
||
|
Bottom 5, 2003 |
|
||||||
22 |
Banking and insurance |
1.205 |
20 |
1.231 |
22 |
2 |
||
12 |
Other manufacturing |
1.138 |
24 |
1.167 |
23 |
-1 |
||
28 |
Other services |
1.098 |
25 |
1.148 |
24 |
-1 |
||
17 |
Catering |
1.152 |
23 |
1.130 |
25 |
2 |
||
29 |
Public administration |
1.061 |
26 |
1.076 |
26 |
0 |
||
5.4.5 Occupation-employment effects are like the employment effects except that they indicate the type of employment resulting from a stimulus to the economy rather than simply the total number of jobs created. The values are shown in Table 5.6. To improve presentation, rather than injections of £1000, the employment arising from a £1million increase in final demand is considered.
5.4.6 The totals for each sector in Table 5.6 are shown to be equivalent to the values in the previous table. For example, reading across the top row of the table indicates that of the (almost) 25 jobs created from a £1 million increase in final demand for agricultural output, 8 would be classified as managerial (which includes farmers), 0.4 as professional, 7.3 Skilled tradesmen, and so on.
5.5 Final market analysis
5.5.1 Economic activity within the Western Isles region is stimulated by sales of goods and services to so-called “final demand categories” and/or flows of transfer income into the region. Within the SAM model, there are five sources of final demand and income flows: local government; central government; sales which add to capital stocks (GFCF); sales to tourists and finally exports to other regions (the rest of Scotland, rest of UK and rest of world). Using standard multiplier techniques, it is possible to assess the relative importance of each of these different sources in terms of generating local economic activity.
5.5.2 Table 5.7 indicates the extent to which each source stimulated output, factor income and employment in the Western Isles in 2003. The totals presented in the table are consistent with those in the SAM. The results indicate the importance of export markets for the economy. Taking into account the various inter-sectoral and household linkages in the economy, the export market is responsible for generating 38% of the value of output produced in the economy, and 40% of total factor income and employment in the economy. The second most important stimuli in terms of income and employment is central government expenditure.
5.5.3 Table 5.8 indicates the importance of different regions in providing export-related income to the Western Isles economy. Exports to the Rest of the UK are far more important to the Western Isles economy than exports to the rest of Scotland (three times more important in terms of employment). Exports to the rest of the world account for almost 13% for the value of output and income generated in the Western Isles is slightly more at 14% (in terms of employment): reflecting the fact that the type of products which are exported to such destinations are possibly more labour intensive.
Table 5.7 Source of Western Isles economic activity by final market, 2003
|
Output |
Factor income |
Employment |
|||
|
£’000 |
% |
£’000 |
% |
FTEs |
% |
Local government |
110,866 |
21.7 |
43,217 |
16.4 |
1,481 |
14.9 |
Central government |
148,651 |
29.2 |
82,353 |
31.3 |
2,965 |
29.9 |
GFCF plus change in stocks |
16,886 |
3.3 |
8,542 |
3.2 |
431 |
4.4 |
Tourist expenditure |
40,386 |
7.9 |
23,031 |
8.8 |
1,033 |
10.4 |
Exports* |
193,037 |
37.9 |
105,888 |
40.3 |
3,998 |
40.3 |
Total |
509,826 |
100.0 |
263,032 |
100.0 |
9,908 |
100.0 |
* Includes an element of transfer income from abroad direct to household sector. Note: Figures may not exactly add to totals due to rounding.
Table 5.8Importance of the different export markets, 2003
|
Output |
Factor income |
Employment |
|||
|
£’000 |
% |
£’000 |
% |
FTEs |
% |
Rest of Scotland |
45,042 |
23.3 |
25,732 |
24.3 |
836 |
20.9 |
Rest of UK |
123,586 |
64.0 |
67,152 |
63.4 |
2,595 |
64.9 |
Rest of World |
24,409 |
12.6 |
13,005 |
12.3 |
566 |
14.2 |
Total Export-related |
193,037 |
100.0 |
105,888 |
100.0 |
3,998 |
100.0 |
Note: Figures may not exactly add to totals due to rounding.
5.5.4 Importantly, Table 5.9 indicates that dependence of the economy on export markets has decreased since 1997 while dependence on central government has increased. Central government in this analysis not only provides income to fund public sector activities but also provides transfer income to Western Isles households in the form of pensions and social security payments etc.
Table 5.9 Comparison of importance of different final markets: 1997 and 2003
|
% output |
% factor income |
% employment |
|||
|
1997 |
2003 |
1997 |
2003 |
1997 |
2003 |
Local government |
23.2 |
21.7 |
22.1 |
16.4 |
16.9 |
14.9 |
Central government |
22.0 |
29.2 |
25.8 |
31.3 |
24.3 |
29.9 |
GFCF |
1.9 |
3.3 |
1.6 |
3.2 |
2.0 |
4.4 |
Tourist expenditure |
7.8 |
7.9 |
8.4 |
8.8 |
11.9 |
10.4 |
Exports* |
45.1 |
37.9 |
42.1 |
40.3 |
44.9 |
40.3 |
Total |
100.0 |
100.0 |
100.0 |
100.0 |
100.0 |
100.0 |
Note: Figures may not exactly add to totals due to rounding.
Table 5.10 Embodied skills analysis of Western Isles final demand, 2003 (FTEs)
5.5.6 Differences in the type of employment associated with each market are noticeable. Whilst the production of exports is responsible (directly and indirectly) for the majority of skilled trades jobs (56%), processing, plant and machine operatives (58%) and elementary occupations (56%), local and central government demand are most important in terms of generating professional, administrative and secretarial employment in the Western Isles economy. The most important contribution of Western Isles tourism in terms of employment is the generation of jobs in the personal and service occupations category.
5.5.7 Finally, Table 5.11 presents another form of final market analysis but in this case, instead of distinguishing the five different sources of final demand, splits final demand into that which might be considered traditional sources of income for the region (exports to all regions plus sales to GFCF) from those which are non-traditional (Roberts, 2003). The latter includes income from tourist, income from local and central government (split to show the relative importance of sector-related flows and household-related flows) and finally private income to households (from private pensions, income associated with participation in non-local labour markets, transfers from family members living non locally etc).
Table 5.11 Importance of ‘non-traditional’ basic income to the region, 2003
|
Output |
Factor income |
Employment |
|||
|
£’000 |
% |
£’000 |
% |
FTEs |
% |
Traditional income* |
206629 |
40.5 |
112932 |
42.9 |
4368 |
44.1 |
Non traditional income |
303197 |
59.5 |
150100 |
57.1 |
5538 |
55.9 |
Of which: |
|
|
|
|
|
|
Tourism |
40386 |
|
23031 |
|
1033 |
|
Government expenditure on WI products |
232545 |
|
103403 |
|
3941 |
|
Government transfers to households |
26972 |
|
22167 |
|
504 |
|
Private income to households |
3294 |
|
1498 |
|
61 |
|
Total |
509,826 |
|
263,032 |
|
9,908 |
|
* Includes value of exports of products plus GFCF
5.5.8 The table shows that so called non-traditional sources are more important in sustaining output, income and employment in the Western Isles than traditional sources of income to the region. Of these non-traditional sources, government funds for public sector activities dominate, although interestingly the table also shows that government transfers direct to households in the region support 9% of jobs in the Western Isles and account for almost 15% of incomes in the region when not only direct but also indirect and induced effects are taken onto account. Private income flows from out-with the region to households are relatively unimportant. A similar analysis of a more accessible rural region, where commuting possibilities are higher would probably find such flows are far more important in sustaining local economic activity.