National Material Capabilities (v3.02)

Version 1.1
National Material Capabilities (v3.02)
Correlates of War Project, 2018, "National Material Capabilities (v3.02)", https://doi.org/10.7910/DVN/I4AIFY, Harvard Dataverse, V1, UNF:3:B4DsVV/TykpPeJQNXdtwAA== [fileUNF]
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Description
Power is considered by many to be a central concept in explaining conflict, and six indicators—military expenditure, military personnel, energy consumption, iron and steel production, urban population, and total population—are included in this data set. It serves as the basis for the most widely used indicator of national capability, CINC (Composite Indicator of National Capability) and covers the period 1816-2001.

The National Material Capabilites data set contains annual values for total population, urban population, iron and steel production, energy consumption, military personnel, and military expenditure of all state members, currently from 1816-2001. The widely-used Composite Index of National Capability (CINC) index is based on these six variables and included in the data set.

Citation information:

In any papers or publications that utilize this data set, users are asked to give the version number and cite an article of record for the data set, as follows:

Bibliography Entry:

Singer, J. David, Stuart Bremer, and John Stuckey. (1972). "Capability Distribution, Uncertainty, and Major Power War, 1820-1965." in Bruce Russett (ed) Peace, War, and Numbers, Beverly Hills: Sage, 19-48.
Subject Social Sciences
Related Publication The above article, the first NMC data set assembled in the 1960s, described and analyzed original data on major powers only. Following this, the data set was expanded to cover the entire interstate system as discussed in:

Singer, J. David. (1987). "Reconstructing the Correlates of War Dataset on Material Capabilities of States, 1816-1985" International Interactions, 14: 115-32.
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  • The Murray Archive (the Distributor) has granted me a revocable license to use this dataset solely for the purposes of conducting research, and the Distributor may terminate this license at any time and for any reason.
  • I will use the dataset solely for statistical analysis and reporting of aggregated information, and not for investigation of specific individuals or organizations, except when identification is authorized in writing by the Distributor.
  • I will produce no links among the Distributor’s datasets or among the Distributor’s data and other datasets that could identify individuals or organizations.
  • I represent that neither I, nor anyone I know, has any prior knowledge of the possible identities of any study participants in any dataset that I am being licensed to use.
  • I will not knowingly divulge any information that could be used to identify individual participants in the study, nor will I attempt to identify or contact any study participant, and I agree to use any precautions necessary to prevent such identification.
  • I will make no use of the identity of any person or establishment discovered inadvertently. If I suspect that I might recognize or know a study participant, I will immediately inform the Distributor, and I will not use or retain a copy of data regarding that study participant. If these measures to resolve an identity disclosure are not sufficient, the Distributor may terminate my use of the dataset.
  • I will not reproduce the dataset except as is necessary for my scholarly purposes. I will destroy the dataset upon the completion of my scholarly work with it.
  • I will not share data from the dataset (in any form or by any means) with any third party, including other members of my research team, as I understand that all users of data must obtain the data directly from the Distributor.
  • I will make appropriate acknowledgement of the contributor of the dataset as well as the Distributor in any manuscript or presentation (published or unpublished) using the citation standard documented here: http://thedata.org/citation
  • THE DISTRIBUTOR MAKES NO WARRANTIES, EXPRESS OR IMPLIED, BY OPERATION OF LAW OR OTHERWISE, REGARDING OR RELATING TO THE DATASET.
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