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International Seminar of Early Warning and Business Cycle Indicators

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Presentation on theme: "International Seminar of Early Warning and Business Cycle Indicators"— Presentation transcript:

1 International Seminar of Early Warning and Business Cycle Indicators
Moscow, November 2010 Strategic Indicators for Industrial Statistics Shyam Upadhyaya Chief Statistician, UNIDO

2 Data collected by UNIDO
From national sources Annual industrial survey data (for mining, manufacturing and utility sectors) Number of establishments/enterprises Number of persons engaged/employees Share of female employees (developing countries) Wages and salaries Gross output Value added Gross fixed capital formation (manufacturing only) Annual indices of industrial production (manufacturing only) From international sources National accounts and international trade data GDP, MVA at current and constant prices Value added of M&U sectors Population (UNPD) Export and import of manufactured goods (Comtrade) Quarterly indices of industrial production

3 Overview of output indicators compiled by UNIDO Statistics
Computation method Valuation Frequency Time lag Latest year estimation method Manufacturing value added National accounts Constant prices ( US$ 2000) Annual None Nowcasting model based on Current US$ 2 years Not done Manufacturing sector specific value added Survey Current prices (national currency) 3 years IIP based estimation Mining and quarrying value added Mining and quarrying sector value added Industrial demand supply balance Survey estimates of output Current prices

4 Monitoring growth trends by annual and quarterly indices (some results)
Source: UNIDO database

5 Major problems related to data reporting by NSOs
Infrequent and irregular surveys Incomplete coverage of economic activities Deviation from international standards; comparability problems Lack of metadata Lack of timely data on short-term indicators such as production and producer’s price indices Currently recommended set of data items in IRIS comprise a full set of data for measuring level, structure and growth For a regular monitoring of business tendency it would be necessary to define a minimum set of data items

6 Minimum set of industrial data
Variables Key indicators Classification Frequency What does it measure Production Gross domestic product By ISIC sections Annually Level and growth Gross output Value added ISIC 2-digit Structure Indices of industrial production Quarterly Short-term growth Price Indices of producer’s prices Input Material input Energy input Cost of services Efficiency Employment and remuneration Number of employees Wages and salaries paid to employees Productivity External trade Export Import SITC 4- digit Competitiveness

7 Estimation for recent years
Data from national sources are available with some time lag for objective reasons Users demand more recent data International data producing agencies could supply estimated (extrapolated ) data especially for output series However; Estimation requires IIP and PPI data, which are not readily available for many countries There is no consensus whether an international agency can disseminate its estimates for member states.

8 Collective response to a collective challenge
A core set of indicators and division of labour based on existing UN Statistics Commission mandate International aggregation of data By development stage Industrialized, newly industrialized, developing countries and LDCs By regional groups EU, ASEAN, Sub-Sahara, Latin America and Caribbean etc Aggregation of IIP and PPI requires weights Recommended dates of data release

9 Some UNIDO publications for reference
UNIDO data quality – A quality assurance framework for UNIDO statistical activities Towards a new industrial and business statistics programme for developing countries and countries with economies in transition Industrial Statistics: Guidelines and Methodology World Statistics on Mining and Utilities International Yearbook of Industrial Statistics

10 Thank you for your attention! Stat-Info services stat@unido.org


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