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Non-standard Sources for Arms Production and Arms Trade Data*

Year 2020, Volume: 20 Issue: 2, 91 - 99, 30.04.2020
https://doi.org/10.21121/eab.729540

Abstract

Even though there are a range of useful sources on defence economics data, only some of them are used widely. The main sources of export, import and output data sets are Stockholm International Peace Research Institute (SIPRI), World Military Expenditures and Arms Transfers-US Department of State (WMEAT), European Statistical Office (EUROSTAT) and United Nations Industrial Development Organization (UNIDO) while SIPRI and WMEAT are for military expenditures. This paper discusses the main features and similarities of data sets from the various sources. Like other industrial/ sector data sets, the main problem for arms data sets is revisions of industrial classifications, which prevent the creation of long time series.

References

  • Da Silva, D. L. (2018), Filling Arms Production Data Gaps: South America as a Case in Point, The Economics of Peace and Security Journal 13 (2): 19-25
  • Fleurant, A and Tian, N. (2018), SIPRI’s Arms Producing and Military Services Companies Database, The Economics of Peace and Security Journal, 13 (2): 5-10 Hartley, K. (2018), Arms industry Data: Knowns and Unknowns, Economics of Peace and Security Journal 13 (2): 30-35
  • http://data.un.org/Data.aspx?d=WDI&f=Indicator_Code%3AMS.MIL.XPND.GD.ZS
  • https://ec.europa.eu/eurostat/web/prodcom/data/ excel-files-nace-rev.2
  • https://stat.unido.org/
  • https://www.cia.gov/library/publications/the-worldfactbook/rankorder/2034rank.html
  • https://www.nato.int/nato_static_fl2014/assets/pdf/ pdf_2017_06/20170629_170629-pr2017-111-en.pdf https://www.state.gov/t/avc/rls/rpt/wmeat/
  • Kinsella, D. (2000), Arms production in the third tier: An Analysis of Opportunity and Willingness, International Interactions, 26: 3, 253-286
  • Perlo-Freeman, S. (2018), Arms, Corruption, and the State: Understanding the Role of Arms Trade Corruption in Power Politics, Economics of Peace and Security Journal 13 (2): 36-46 SIPRI.org
  • Smith, R. and Dunne, J. P. (2018), Issues in the Quantitative Analysis of the SIPRI Arms Industry Database, Economics of Peace and Security Journal 13 (2): 11-18
  • Wulf, H. (2018), Analysis of SIPRI’s Arms Production Data: Some Suggestions for Expansion, The Economics of Peace and Security Journal 13 (2): 26-29
  • Yesilyurt F., Guloglu B., Yesilyurt M. E. and Sezgin Ş. (2014), The Determinants of Arms Production, Defence and Peace Economics, 25 (2): 205-211
Year 2020, Volume: 20 Issue: 2, 91 - 99, 30.04.2020
https://doi.org/10.21121/eab.729540

Abstract

References

  • Da Silva, D. L. (2018), Filling Arms Production Data Gaps: South America as a Case in Point, The Economics of Peace and Security Journal 13 (2): 19-25
  • Fleurant, A and Tian, N. (2018), SIPRI’s Arms Producing and Military Services Companies Database, The Economics of Peace and Security Journal, 13 (2): 5-10 Hartley, K. (2018), Arms industry Data: Knowns and Unknowns, Economics of Peace and Security Journal 13 (2): 30-35
  • http://data.un.org/Data.aspx?d=WDI&f=Indicator_Code%3AMS.MIL.XPND.GD.ZS
  • https://ec.europa.eu/eurostat/web/prodcom/data/ excel-files-nace-rev.2
  • https://stat.unido.org/
  • https://www.cia.gov/library/publications/the-worldfactbook/rankorder/2034rank.html
  • https://www.nato.int/nato_static_fl2014/assets/pdf/ pdf_2017_06/20170629_170629-pr2017-111-en.pdf https://www.state.gov/t/avc/rls/rpt/wmeat/
  • Kinsella, D. (2000), Arms production in the third tier: An Analysis of Opportunity and Willingness, International Interactions, 26: 3, 253-286
  • Perlo-Freeman, S. (2018), Arms, Corruption, and the State: Understanding the Role of Arms Trade Corruption in Power Politics, Economics of Peace and Security Journal 13 (2): 36-46 SIPRI.org
  • Smith, R. and Dunne, J. P. (2018), Issues in the Quantitative Analysis of the SIPRI Arms Industry Database, Economics of Peace and Security Journal 13 (2): 11-18
  • Wulf, H. (2018), Analysis of SIPRI’s Arms Production Data: Some Suggestions for Expansion, The Economics of Peace and Security Journal 13 (2): 26-29
  • Yesilyurt F., Guloglu B., Yesilyurt M. E. and Sezgin Ş. (2014), The Determinants of Arms Production, Defence and Peace Economics, 25 (2): 205-211
There are 12 citations in total.

Details

Primary Language English
Subjects Business Administration
Journal Section Research Article
Authors

Filiz Akbaş Yeşilyurt This is me 0000-0003-1629-4747

Ensar Yeşilyurt This is me 0000-0001-5610-3146

Publication Date April 30, 2020
Acceptance Date March 30, 2020
Published in Issue Year 2020 Volume: 20 Issue: 2

Cite

APA Akbaş Yeşilyurt, F., & Yeşilyurt, E. (2020). Non-standard Sources for Arms Production and Arms Trade Data*. Ege Academic Review, 20(2), 91-99. https://doi.org/10.21121/eab.729540
AMA Akbaş Yeşilyurt F, Yeşilyurt E. Non-standard Sources for Arms Production and Arms Trade Data*. ear. April 2020;20(2):91-99. doi:10.21121/eab.729540
Chicago Akbaş Yeşilyurt, Filiz, and Ensar Yeşilyurt. “Non-Standard Sources for Arms Production and Arms Trade Data*”. Ege Academic Review 20, no. 2 (April 2020): 91-99. https://doi.org/10.21121/eab.729540.
EndNote Akbaş Yeşilyurt F, Yeşilyurt E (April 1, 2020) Non-standard Sources for Arms Production and Arms Trade Data*. Ege Academic Review 20 2 91–99.
IEEE F. Akbaş Yeşilyurt and E. Yeşilyurt, “Non-standard Sources for Arms Production and Arms Trade Data*”, ear, vol. 20, no. 2, pp. 91–99, 2020, doi: 10.21121/eab.729540.
ISNAD Akbaş Yeşilyurt, Filiz - Yeşilyurt, Ensar. “Non-Standard Sources for Arms Production and Arms Trade Data*”. Ege Academic Review 20/2 (April 2020), 91-99. https://doi.org/10.21121/eab.729540.
JAMA Akbaş Yeşilyurt F, Yeşilyurt E. Non-standard Sources for Arms Production and Arms Trade Data*. ear. 2020;20:91–99.
MLA Akbaş Yeşilyurt, Filiz and Ensar Yeşilyurt. “Non-Standard Sources for Arms Production and Arms Trade Data*”. Ege Academic Review, vol. 20, no. 2, 2020, pp. 91-99, doi:10.21121/eab.729540.
Vancouver Akbaş Yeşilyurt F, Yeşilyurt E. Non-standard Sources for Arms Production and Arms Trade Data*. ear. 2020;20(2):91-9.