{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,17]],"date-time":"2025-09-17T15:08:23Z","timestamp":1758121703742},"reference-count":9,"publisher":"Information and Publishing Centre Statistics of Russia","issue":"1","license":[{"start":{"date-parts":[[2019,2,1]],"date-time":"2019-02-01T00:00:00Z","timestamp":1548979200000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/voprstat.elpub.ru\/jour\/about\/editorialPolicies#openAccessPolicy"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Vopr. stat."],"abstract":"<jats:p><jats:underline>A country\u2019s industrial performance can be assessed using a number of statistical indicators reflecting the level, growth and structure of industrial activities. However, policymakers prefer a single composite measure over a set of indicators to obtain an overall picture of their country\u2019s relative performance compared to that of other countries. The paper describes UNIDO\u2019s experience of constructing such a measure, namely the Competitive Industrial Performance (CIP) index, which considers countries\u2019 productive capacity, intensity of industrialization and impact on the world market as major components of industrial performance. The compilation of the CIP index, however, poses two major challenges. First, the composite measure for a broad international comparison can only be constructed when data are available for all indicators and if the computation methodology is uniform across the countries. Second, as the final result is a normalized index used for country ranking, any uncertainty in one of the indicators may result in a shift of a given country in the overall ranking. The primary data source for the compilation of the CIP index is UNIDO\u2019s database based on an underlying quality assurance framework for international comparability. To address the second problem, a sensitivity analysis is performed. The analysis reveals a substantially high correlation between the default CIP rankings and the alternatives, indicating that the composite measures are robust in a comparative assessment of countries\u2019 industrial performance. <\/jats:underline><\/jats:p>","DOI":"10.34023\/2313-6383-2019-26-1-35-43","type":"journal-article","created":{"date-parts":[[2019,3,29]],"date-time":"2019-03-29T08:32:32Z","timestamp":1553848352000},"page":"35-43","source":"Crossref","is-referenced-by-count":2,"title":["Composite Measure of Industrial Performance for Cross-country Analysis"],"prefix":"10.34023","volume":"26","author":[{"given":"Shyam","family":"Upadhyaya","sequence":"first","affiliation":[{"name":"UN Industrial Development Organization (UNIDO)"}]}],"member":"19932","published-online":{"date-parts":[[2019,2,1]]},"reference":[{"key":"ref1","unstructured":"UNIDO. Industrial Statistics; Guidelines and Methodology. Vienna: UNIDO; 2010."},{"key":"ref2","unstructured":"UNIDO. Industrial Development Report 2002\/2003. Competing Through Innovation and Learning. 2002."},{"key":"ref3","unstructured":"UNIDO. Competitive Industrial Performance Report 2012\/2013. The Industrial Competitiveness of Nations: Looking back, forging ahead. Vienna: UNIDO; 2013."},{"key":"ref4","unstructured":"Anand S., Sen A. Human Development Index: Methodology and Measurement. New York: Human Development Report Office Occasional Paper 12; 1994."},{"key":"ref5","unstructured":"OECD. Handbook on Constructing Composite Indicators: Methodology and User Guide. OECD Publ.; 2008."},{"key":"ref6","unstructured":"UNIDO. Industrial Development Report 2013. Sustaining Employment Growth: The Role of Manufacturing and Structural Change. UNIDO, 2013."},{"key":"ref7","unstructured":"Upadhyaya S., Todorov V. UNIDO Data Quality: A Quality Assurance Framework for UNIDO Statistical Activities. Vienna: UNIDO; 2009."},{"key":"ref8","unstructured":"Saltelli A., Nardo M., Saisana M., Tarantola S. Composite Indicators - the Controversy and the Way Forward. Statistics, Knowledge and Policy. OECD World Forum on Key Indicators. Palermo, 10-13 November 2004."},{"key":"ref9","unstructured":"UNIDO. Competitive Industrial Performance Report 2016. CIP Index, edition 2016: Country and Economy Profiles. Vienna: UNIDO; 2017."}],"container-title":["Voprosy statistiki"],"original-title":[],"link":[{"URL":"https:\/\/voprstat.elpub.ru\/jour\/article\/viewFile\/826\/644","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2019,3,29]],"date-time":"2019-03-29T08:38:34Z","timestamp":1553848714000},"score":1,"resource":{"primary":{"URL":"https:\/\/voprstat.elpub.ru\/jour\/article\/view\/826"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,2,1]]},"references-count":9,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2019,2,1]]}},"URL":"https:\/\/doi.org\/10.34023\/2313-6383-2019-26-1-35-43","relation":{},"ISSN":["2313-6383"],"issn-type":[{"value":"2313-6383","type":"print"}],"subject":[],"published":{"date-parts":[[2019,2,1]]}}}