GVA at constant (2017) basic prices for sectors dominated by Foreign-owned MNEs and Other Sectors | ||
Jan-Dec 2019 | ||
Amount €m | Annual % change | |
Foreign-owned MNE dominated | 136,118 | 7.3 |
Other | 180,859 | 4.9 |
Total GVA (MNE dominated + Other) | 316,977 | 5.9 |
Preliminary estimates indicate that Gross Value Added (GVA) at constant (2017) basic prices for the non-MNE dominated sectors of the economy increased by 4.9% between 2018 and 2019. The sectors where foreign-owned multinational enterprises are dominant grew by 7.3% over the same period, resulting in an overall growth rate of 5.9%.
The share of total GVA at constant prices accounted for by the foreign-owned MNE dominated sectors stood at 42.9% in 2019, a slight increase from 42.4% in 2018.
Non-MNE dominated sectors grew by 1.5% in Q4 2019 while Multinational sector decreased by 0.5%.
On a seasonally adjusted basis, initial estimates indicate that Gross Value Added (GVA) in volume terms in the Foreign-owned MNE dominated sector decreased by 0.5% for the fourth quarter of 2019. GVA for the non-MNE dominated sectors of the economy increased by 1.5% over the same period.
Real GVA for the total economy amounted to almost €81 billion in the Q4 2019 reference period, with GVA for MNE dominated sectors representing approximately 42% of Total GVA while GVA for the non-MNE dominated sectors represented approximately 58% of the total.
The calculation methods for quarterly Gross Value Added (GVA) for Foreign-owned Multinational Enterprises and Other Sectors are similar to those used in the CSO’s annual GVA for Foreign-owned Multinational Enterprises and Other Sectors release. As some of the sources available quarterly are of lesser reliability than those used for the annual accounts, the quarterly estimates are subject to a greater margin of error than the equivalent annual figures. These preliminary quarterly and preliminary annual estimates will therefore be revised when the next detailed annual results are published. Data for the reference quarters contained in the tables of this release as well as data for earlier reference quarters can be downloaded from the StatBank database service on the CSO Website. For annual data for years 1995-2018 at the more detailed 37 sectoral breakdown level, please refer to Tables 21 and 22 of the National Income & Expenditure 2018 publication issued in August 2019. (For long time series of these annual data see StatBank Tables N1821 & N1822). For information on chain linking see NIE 2018 Methodology Note |
Table A Gross Value Added at Current Basic Prices & Constant Basic Prices (Chain linked annually and referenced to year 2017)1 | €million | ||||||||
CURRENT BASIC PRICES | CONSTANT BASIC PRICES | ||||||||
Period | Foreign-owned MNE dominated | Other | Total | Foreign-owned MNE dominated | Other | Total | |||
2013 | 40,616 | 123,949 | 164,565 | 46,601 | 135,342 | 183,309 | |||
2014 | 45,181 | 133,391 | 178,572 | 51,990 | 143,410 | 196,771 | |||
2015 | 100,347 | 144,143 | 244,490 | 95,063 | 152,814 | 247,657 | |||
2016 | 100,013 | 153,998 | 254,011 | 100,944 | 158,338 | 259,224 | |||
2017 | 111,353 | 165,894 | 277,246 | 111,353 | 165,894 | 277,246 | |||
2018 | 126,040 | 177,036 | 303,076 | 126,852 | 172,398 | 299,251 | |||
2019 | 132,711 | 189,505 | 322,216 | 136,118 | 180,859 | 316,977 | |||
2013 | |||||||||
Q1 | 10,365 | 29,392 | 39,758 | 12,037 | 32,023 | 44,357 | |||
Q2 | 10,555 | 30,764 | 41,319 | 12,046 | 33,524 | 45,895 | |||
Q3 | 10,091 | 31,591 | 41,682 | 11,555 | 34,594 | 46,507 | |||
Q4 | 9,605 | 32,202 | 41,807 | 10,963 | 35,201 | 46,549 | |||
2014 | |||||||||
Q1 | 11,199 | 31,589 | 42,788 | 12,715 | 34,088 | 47,118 | |||
Q2 | 12,338 | 33,042 | 45,379 | 14,226 | 35,443 | 49,967 | |||
Q3 | 11,359 | 34,206 | 45,565 | 13,043 | 36,775 | 50,177 | |||
Q4 | 10,286 | 34,554 | 44,840 | 12,007 | 37,105 | 49,509 | |||
2015 | |||||||||
Q1 | 24,837 | 34,527 | 59,364 | 26,350 | 36,592 | 62,737 | |||
Q2 | 23,945 | 35,584 | 59,530 | 21,752 | 37,663 | 59,432 | |||
Q3 | 24,953 | 36,849 | 61,802 | 23,054 | 39,267 | 62,322 | |||
Q4 | 26,612 | 37,182 | 63,794 | 23,908 | 39,292 | 63,166 | |||
2016 | |||||||||
Q1 | 23,551 | 37,604 | 61,155 | 24,748 | 38,686 | 63,425 | |||
Q2 | 22,005 | 38,639 | 60,643 | 22,488 | 39,653 | 61,933 | |||
Q3 | 24,646 | 38,883 | 63,529 | 22,726 | 40,156 | 62,668 | |||
Q4 | 29,811 | 38,872 | 68,683 | 30,983 | 39,843 | 71,198 | |||
2017 | |||||||||
Q1 | 26,184 | 39,204 | 65,388 | 26,188 | 39,449 | 65,634 | |||
Q2 | 23,115 | 40,941 | 64,056 | 24,396 | 40,788 | 65,151 | |||
Q3 | 27,971 | 42,831 | 70,802 | 28,721 | 42,877 | 71,597 | |||
Q4 | 34,083 | 42,917 | 77,000 | 32,048 | 42,780 | 74,865 | |||
2018 | |||||||||
Q1 | 30,183 | 41,827 | 72,011 | 29,996 | 40,597 | 70,594 | |||
Q2 | 27,843 | 43,658 | 71,501 | 30,133 | 42,450 | 72,583 | |||
Q3 | 34,356 | 45,346 | 79,703 | 34,387 | 44,285 | 78,672 | |||
Q4 | 33,657 | 46,205 | 79,862 | 32,336 | 45,066 | 77,402 | |||
2019 | |||||||||
Q1 | 31,693 | 45,277 | 76,970 | 33,745 | 42,730 | 76,475 | |||
Q2 | 30,484 | 47,016 | 77,500 | 32,565 | 43,816 | 76,382 | |||
Q3 | 35,255 | 48,439 | 83,693 | 35,311 | 46,740 | 82,051 | |||
Q4 | 35,279 | 48,773 | 84,052 | 34,497 | 47,572 | 82,069 | |||
Annual Percentage Changes | |||||||||
2013 | 0.6 | 5.0 | 3.9 | -1.3 | 2.5 | 1.6 | |||
2014 | 11.2 | 7.6 | 8.5 | 11.6 | 6.0 | 7.3 | |||
2015 | 122.1 | 8.1 | 36.9 | 82.8 | 6.6 | 25.9 | |||
2016 | -0.3 | 6.8 | 3.9 | 6.2 | 3.6 | 4.7 | |||
2017 | 11.3 | 7.7 | 9.1 | 10.3 | 4.8 | 7.0 | |||
2018 | 13.2 | 6.7 | 9.3 | 13.9 | 3.9 | 7.9 | |||
2019 | 5.3 | 7.0 | 6.3 | 7.3 | 4.9 | 5.9 | |||
Percentage change on corresponding period of previous year | |||||||||
2013 | |||||||||
Q1 | -5.5 | 2.4 | 0.2 | -7.1 | -0.2 | -2.2 | |||
Q2 | -1.3 | 4.9 | 3.2 | -2.8 | 2.0 | 0.7 | |||
Q3 | 3.4 | 7.1 | 6.1 | 0.2 | 4.8 | 3.6 | |||
Q4 | 7.5 | 5.6 | 6.0 | 6.3 | 3.4 | 4.2 | |||
2014 | |||||||||
Q1 | 8.0 | 7.5 | 7.6 | 5.6 | 6.4 | 6.2 | |||
Q2 | 16.9 | 7.4 | 9.8 | 18.1 | 5.7 | 8.9 | |||
Q3 | 12.6 | 8.3 | 9.3 | 12.9 | 6.3 | 7.9 | |||
Q4 | 7.1 | 7.3 | 7.3 | 9.5 | 5.4 | 6.4 | |||
2015 | |||||||||
Q1 | 121.8 | 9.3 | 38.7 | 107.2 | 7.3 | 33.1 | |||
Q2 | 94.1 | 7.7 | 31.2 | 52.9 | 6.3 | 18.9 | |||
Q3 | 119.7 | 7.7 | 35.6 | 76.8 | 6.8 | 24.2 | |||
Q4 | 158.7 | 7.6 | 42.3 | 99.1 | 5.9 | 27.6 | |||
2016 | |||||||||
Q1 | -5.2 | 8.9 | 3.0 | -6.1 | 5.7 | 1.1 | |||
Q2 | -8.1 | 8.6 | 1.9 | 3.4 | 5.3 | 4.2 | |||
Q3 | -1.2 | 5.5 | 2.8 | -1.4 | 2.3 | 0.6 | |||
Q4 | 12.0 | 4.5 | 7.7 | 29.6 | 1.4 | 12.7 | |||
2017 | |||||||||
Q1 | 11.2 | 4.3 | 6.9 | 5.8 | 2.0 | 3.5 | |||
Q2 | 5.0 | 6.0 | 5.6 | 8.5 | 2.9 | 5.2 | |||
Q3 | 13.5 | 10.2 | 11.4 | 26.4 | 6.8 | 14.2 | |||
Q4 | 14.3 | 10.4 | 12.1 | 3.4 | 7.4 | 5.2 | |||
2018 | |||||||||
Q1 | 15.3 | 6.7 | 10.1 | 14.5 | 2.9 | 7.6 | |||
Q2 | 20.5 | 6.6 | 11.6 | 23.5 | 4.1 | 11.4 | |||
Q3 | 22.8 | 5.9 | 12.6 | 19.7 | 3.3 | 9.9 | |||
Q4 | -1.2 | 7.7 | 3.7 | 0.9 | 5.3 | 3.4 | |||
2019 | |||||||||
Q1 | 5.0 | 8.2 | 6.9 | 12.5 | 5.3 | 8.3 | |||
Q2 | 9.5 | 7.7 | 8.4 | 8.1 | 3.2 | 5.2 | |||
Q3 | 2.6 | 6.8 | 5.0 | 2.7 | 5.5 | 4.3 | |||
Q4 | 4.8 | 5.6 | 5.2 | 6.7 | 5.6 | 6.0 | |||
1Chain linked series not additive |
Table B Gross Value Added at Current Basic Prices & Constant Basic Prices (Chain linked annually and referenced to year 2017)1 - Seasonally Adjusted | €million | ||||||||
CURRENT BASIC PRICES | CONSTANT BASIC PRICES | ||||||||
Period | Foreign-owned MNE dominated | Other | Total | Foreign-owned MNE dominated | Other | Total | |||
2013 | |||||||||
Q1 | 9,920 | 29,971 | 40,031 | 11,467 | 33,058 | 44,764 | |||
Q2 | 10,281 | 30,693 | 40,929 | 11,720 | 33,498 | 45,599 | |||
Q3 | 10,245 | 31,337 | 41,601 | 11,696 | 34,170 | 46,294 | |||
Q4 | 10,016 | 31,925 | 41,829 | 11,611 | 34,600 | 46,629 | |||
2014 | |||||||||
Q1 | 10,811 | 32,204 | 43,146 | 12,147 | 34,996 | 47,357 | |||
Q2 | 12,270 | 32,995 | 45,321 | 14,079 | 35,626 | 50,084 | |||
Q3 | 11,489 | 33,839 | 45,388 | 13,176 | 36,218 | 49,811 | |||
Q4 | 10,389 | 34,368 | 44,432 | 12,410 | 36,579 | 49,432 | |||
2015 | |||||||||
Q1 | 24,222 | 35,134 | 59,896 | 25,350 | 37,478 | 62,731 | |||
Q2 | 24,531 | 35,569 | 60,250 | 21,994 | 37,940 | 60,401 | |||
Q3 | 24,980 | 36,386 | 61,403 | 23,130 | 38,597 | 61,642 | |||
Q4 | 26,107 | 37,057 | 62,445 | 24,148 | 38,749 | 62,474 | |||
2016 | |||||||||
Q1 | 23,197 | 38,240 | 61,805 | 24,008 | 39,789 | 63,614 | |||
Q2 | 23,239 | 38,635 | 62,263 | 23,233 | 39,850 | 63,573 | |||
Q3 | 24,367 | 38,362 | 62,771 | 22,584 | 39,424 | 61,686 | |||
Q4 | 28,553 | 38,721 | 66,667 | 30,720 | 39,200 | 69,837 | |||
2017 | |||||||||
Q1 | 26,108 | 39,922 | 66,229 | 25,670 | 40,515 | 66,264 | |||
Q2 | 24,958 | 40,973 | 66,524 | 25,586 | 41,262 | 67,257 | |||
Q3 | 27,283 | 42,211 | 69,378 | 28,226 | 42,002 | 70,037 | |||
Q4 | 32,265 | 42,643 | 74,541 | 31,521 | 41,909 | 73,149 | |||
2018 | |||||||||
Q1 | 30,348 | 42,733 | 73,271 | 29,615 | 42,018 | 71,879 | |||
Q2 | 30,456 | 43,699 | 74,490 | 31,866 | 42,905 | 74,787 | |||
Q3 | 33,148 | 44,669 | 77,534 | 33,488 | 43,303 | 76,588 | |||
Q4 | 31,750 | 45,798 | 77,526 | 31,721 | 43,966 | 75,899 | |||
2019 | |||||||||
Q1 | 32,084 | 46,366 | 78,575 | 33,580 | 44,173 | 77,981 | |||
Q2 | 33,441 | 47,083 | 80,574 | 34,407 | 44,607 | 78,540 | |||
Q3 | 33,751 | 47,686 | 81,177 | 34,161 | 45,613 | 79,738 | |||
Q4 | 33,396 | 48,288 | 81,806 | 33,982 | 46,295 | 80,738 | |||
Percentage change on previous quarter | |||||||||
2013 | |||||||||
Q1 | 4.1 | -0.7 | 1.0 | 3.3 | -0.9 | -0.0 | |||
Q2 | 3.6 | 2.4 | 2.2 | 2.2 | 1.3 | 1.9 | |||
Q3 | -0.4 | 2.1 | 1.6 | -0.2 | 2.0 | 1.5 | |||
Q4 | -2.2 | 1.9 | 0.5 | -0.7 | 1.3 | 0.7 | |||
2014 | |||||||||
Q1 | 7.9 | 0.9 | 3.1 | 4.6 | 1.1 | 1.6 | |||
Q2 | 13.5 | 2.5 | 5.0 | 15.9 | 1.8 | 5.8 | |||
Q3 | -6.4 | 2.6 | 0.1 | -6.4 | 1.7 | -0.5 | |||
Q4 | -9.6 | 1.6 | -2.1 | -5.8 | 1.0 | -0.8 | |||
2015 | |||||||||
Q1 | 133.2 | 2.2 | 34.8 | 104.3 | 2.5 | 26.9 | |||
Q2 | 1.3 | 1.2 | 0.6 | -13.2 | 1.2 | -3.7 | |||
Q3 | 1.8 | 2.3 | 1.9 | 5.2 | 1.7 | 2.1 | |||
Q4 | 4.5 | 1.8 | 1.7 | 4.4 | 0.4 | 1.4 | |||
2016 | |||||||||
Q1 | -11.1 | 3.2 | -1.0 | -0.6 | 2.7 | 1.8 | |||
Q2 | 0.2 | 1.0 | 0.7 | -3.2 | 0.2 | -0.1 | |||
Q3 | 4.9 | -0.7 | 0.8 | -2.8 | -1.1 | -3.0 | |||
Q4 | 17.2 | 0.9 | 6.2 | 36.0 | -0.6 | 13.2 | |||
2017 | |||||||||
Q1 | -8.6 | 3.1 | -0.7 | -16.4 | 3.4 | -5.1 | |||
Q2 | -4.4 | 2.6 | 0.4 | -0.3 | 1.8 | 1.5 | |||
Q3 | 9.3 | 3.0 | 4.3 | 10.3 | 1.8 | 4.1 | |||
Q4 | 18.3 | 1.0 | 7.4 | 11.7 | -0.2 | 4.4 | |||
2018 | |||||||||
Q1 | -5.9 | 0.2 | -1.7 | -6.0 | 0.3 | -1.7 | |||
Q2 | 0.4 | 2.3 | 1.7 | 7.6 | 2.1 | 4.0 | |||
Q3 | 8.8 | 2.2 | 4.1 | 5.1 | 0.9 | 2.4 | |||
Q4 | -4.2 | 2.5 | -0.0 | -5.3 | 1.5 | -0.9 | |||
2019 | |||||||||
Q1 | 1.1 | 1.2 | 1.4 | 5.9 | 0.5 | 2.7 | |||
Q2 | 4.2 | 1.5 | 2.5 | 2.5 | 1.0 | 0.7 | |||
Q3 | 0.9 | 1.3 | 0.7 | -0.7 | 2.3 | 1.5 | |||
Q4 | -1.1 | 1.3 | 0.8 | -0.5 | 1.5 | 1.3 | |||
1Chain linked series not additive |
This release provides gross value added at current basic prices and constant basic prices (chain linked and referenced to 2017) for the economy divided into two sectors, namely
(a) the economic sectors dominated by Foreign-owned Multi National Enterprises (MNEs)
and
(b) all other remaining sectors.
Gross value added at basic prices is measured as the difference between output at basic prices and intermediate consumption at purchasers’ prices.
The sectoral data underlying the aggregates in the release are the same as those used for
The correspondence with the relevant A10 sections of NACE Rev.2 is as follows:
Agriculture, forestry and fishing | Section A |
Industry (excluding Construction) | Sections B,C,D,E |
Of which: Manufacturing | Section C |
Construction | Section F |
Distribution, transport, hotels and restaurants | Sections G,H,I |
Information and communication | Section J |
Financial and insurance activities | Section K |
Real estate activities | Section L |
Professional, admin and support services | Sections M,N |
Public admin, education and health | Sections O,P,Q |
Arts, entertainment and other services | Sections R,S,T |
National accounts are compiled in the EU according to the European System of National and Regional Accounts (ESA) framework. In 2014, the new ESA 2010 framework replaced the ESA 95 version and all EU member states were required to adopt ESA 2010 by September 2014. ESA 2010 is the European version of the current UN mandated international standards for national accounts statistics, the System of National Accounts (SNA) 2008. The results for all years in this release are published on an ESA 2010 basis.
In compliance with EU regulations the contents of the sectors in this release conform to the Nace Rev. 2 system which corresponds with the UN International Standard Industrial Classification (ISIC Rev 4).
For the Foreign-owned MNE dominated sector and ‘Other’ sector variables set out in Tables A and B of this release, the following is the correspondence with the relevant NIE and Nace Rev. 2 sectors:
NIE Sectors |
Nace 2 Sections |
Foreign-owned |
Other |
Agriculture, forestry and fishing |
Section A |
|
01-03 |
Industry (excluding Construction) |
Sections B to E |
18.2, 20, 21, 26, |
05-18.1, |
Of which: Manufacturing |
Section C |
18.2, 20, 21, 26, |
10-18.1, |
Construction |
Section F |
41-43 |
|
Distribution, transport, hotels and restaurants |
Sections G to I |
|
45-56 |
Information and communication |
Section J |
58-63 |
n.a. |
Financial and insurance activities |
Section K |
64-66 |
|
Real estate activities |
Section L |
68 |
|
Professional, admin and support services |
Sections M to N |
69-82 |
|
Public admin, education and health |
Sections O to Q |
|
84-88 |
Arts, entertainment and other services |
Sections R to T |
|
90-98 |
For further information on the Nace Rev. 2 classification of industrial activity, please click here.
Seasonal adjustment is conducted using the direct seasonal adjustment approach. Under this approach, each individual time series is independently adjusted, i.e. aggregate series are adjusted without reference to the component series. This direct approach is applied to the Foreign-owned MNE dominated sector, the combination of all other remaining non-MNE dominated NACE sectors (i.e. the ‘Other’ sector) and the seasonally adjusted values for the total economy are not derived as the sum of the seasonally adjusted components but rather by seasonally adjusting the unadjusted values for the total economy as shown in Table A. On this account, the sum of the seasonally adjusted components of the Foreign-owned MNE dominated and ‘Other’ sectors do not add to the respective seasonally adjusted total economy series. As part of the seasonal adjustment process, ARIMA models have been identified for each series based on unadjusted data spanning Q1 1995 to Q2 2019. These models are then applied to the entire series (Q1 1995 to Q4 2019). Seasonal factors and the parameters of the ARIMA models will be updated each quarter.
The adjustments are completed by applying the X-13-ARIMA model, developed by the U.S. Census Bureau to the unadjusted data. This methodology estimates seasonal factors while also taking into consideration factors that impact on the quality of the seasonal adjustment such as:
For additional information on the use of X-13-ARIMA see
www.census.gov/srd/www/winx13/
Scan the QR code below to view this release online or go to
http://www.cso.ie/en/releasesandpublications/er/gvafmq/grossvalueaddedforforeign-ownedmultinationalenterprisesandothersectorsquarter42019/