Annual GDP Estimates by Production and Income Approaches in China Jin Hong Department of National Accounts-NBS Nov.30, 2009.

Slides:



Advertisements
Similar presentations
Inter-relationship Between China s Input- Output Estimation, production-based GDP and Expenditure-based GDP PENG Zhilong Department of National Accounts,
Advertisements

Measuring Banking and Insurance: The U.S. Experience Brian C. Moyer Associate Director for Industry Accounts 12 th OECD-NBS Workshop on National Accounts.
Accounting Method for Chinas Quarterly GDP by Expenditure Approach QIU, Qiong Dept. of National Accounts, NBS.
China Annual Expenditure-Based GDP Accounting Methods WU You 2009.
1 International Workshop on Regional Products and Income Accounts, Beijing, China, March 2010 Country Presentation -India By National Accounts Division.
Republic of the Philippines NATIONAL STATISTICAL COORDINATION BOARD 1 International Workshop From Data to Accounts: Measuring Production in National Accounting.
II. Compilation of GDP by income approach
Statistical Issues in Measuring Poverty from Non-Survey Sources NATIONAL ACCOUNTS UNSD/NA/MR1 UN STATISTICS DIVISION Economic Statistics Branch National.
Economic Performance of Sri Lanka
An Overview of China ’ s Industrial Statistical Methodology Xiaohui WANG Department of Industrial and Transport Statistics National Bureau of Statistics,
Quarterly National Accounts in IRAN. Objectives of Presentation Quarterly national accounts in Iran Scope and coverage of QNA, Data sources for compiling.
ECONOMIC STATISTICS AND NATIONAL ACCOUNT IN ETHIOPIA By Sehin Merawi Central Statistical Agency of Ethiopia.
Presented by Magnus Ebo Duncan On 30 th April 2008 Revised GDP Estimates for 2008.
District Domestic Product compilation and its uses.
WORKSHOP ON INTERNATIONAL ECONOMIC AND SOCIAL CLASSIFICATION IMPLEMENTATION OF INDUSTRY AND OTHER UN CLASSIFICATION - Tanzania Presentation by Morrice.
Measuring the Macroeconomy Source:Text and Taylor and Moosa (2002) Chapters 21 & 6 Respectively.
1 Transition of National Accounts of the Republic of Belarus to 2008 SNA Methodology and Cooperation between Producers of Official Statistics National.
Valentina Gydylika Head of National Accounts and Macroeconomic Synthesis Division Istanbul, May 6-8, 2015 National Accounts of Republic of Moldova Achieved.
The Financial Corporations Sector, its subsectors and Institutional Units STATE STATISTICAL COMMITTEE OF AZERBAIJAN REPUBLIC Istanbul, May 6-8, 2015.
GROSS CAPITAL FORMATION Prepared by : National Accounts Statistics Division, Department of Statistics, Malaysia 26 th April 2011.
Regional Seminar on Developing a Program for the Implementation of the 2008 SNA and Supporting Statistics Mehmet ILGAR September 2013 Ankara - Turkey.
The Overview of GDP Estimates and Related Issues in China Discussant comments Session: Recent Developments in the NBS (I) Tuesday, December 1, 2009 Kim.
Some Thoughts after Compiling 2008 SUT of China CHEN Jie Department of National Accounts NBS, China March 2012, Shanghai.
Part Ten Other types of tax accounting. City Maintenance and Construction Tax Definition: City maintenance and construction tax, is the country to engage.
Lecture 3. GDP by Production Approach 1. 2 Human R Produced fixed R Natural R Financial R Good & Services from Production COMP CFC OS T-S OUTPUT goods.
African Centre for Statistics United Nations Economic Commission for Africa Handbook on Supply and Use Table: Compilation, Application, and Good Practices.
Georgian Quarterly National Accounts and time-series of Short Term Statistics indicators Levan Gogoberishvili Head of National Accounts Division, Geostat.
1 NATIONAL STATISTICAL COORDINATION BOARD International Workshop on Energy Statistics, Beijing, China, September 2012 Vivian R. Ilarina, Philippines.
Copyright 2010, The World Bank Group. All Rights Reserved. Introduction to the System of National Accounts (SNA) Lesson 9 Data Sources for Estimating GDP.
African Centre for Statistics United Nations Economic Commission for Africa Expert Group Meeting to review the “Handbook on SUT: Compilation, Application.
1 Selected Issues with Implementation of 2008 SNA (continued) Training Workshop on System of National Accounts for ECO Member Countries October 2012,
UNITED NATIONS DEPARTMENT OF ECONOMIC AND SOCIAL AFFAIRS STATISTICS DIVISION (UNSD). PRESENTATION ON THE STATE OF IMPLEMENTATION OF INDUSTRY AND PRODUCT.
PRICE AND VOLUME MEASURES NATIONAL ACCOUNTS STATISTICS WORKSHOP PRICE AND VOLUME MEASURES Workshop on national accounts for Asian member countries of the.
Construction and Application of Short-term Economic Indicator of China Lin Tao Service Survey Center of the National Bureau of Statistics, PRC
National Bureau of Statistics of PRC Improvements on the Issues of 12 th Workshop: Finance, Health, Education and Owner Occupied Dwelling Estimation LU.
Seminar on Developing a Programme for the Implementation of the 2008 SNA and Supporting Statistics Elriëtte Botes October 2012 Pretoria, South Africa.
Workshop on the Implementation and Links between the System of National Accounts 2008 and the Government Finance Statistics Manual 20 – 22 November 2013,
Improvement of China QGDP Dong Lihua Dept. of National Accounts, NBS.
Copyright 2010, The World Bank Group. All Rights Reserved. Introduction to the System of National Accounts (SNA) Lesson 5 Final Consumption Expenditure:
National Accounts Statistics of Nepal 2014/15 (Annual Estimate) Press Release Program 08 June, 2015 Central Bureau of Statistics.
NATIONAL ACCOUNTS Gross Fixed Capital Formation Kevin Naidoo Seminar on Developing a programme for the implementation of the 2008 SNA and supporting statistics.
Australian National Accounts State Accounts States of Australia.
1 COMPILING QGDP OF THE SERVICES SECTOR ACTIVITIES - DATA SOURCES AND METHODOLOGY Ramesh Kolli Additional Director General Central Statistical Organisation,
Macroeconomics -1 Jamshed uz Zaman Ref: Dornbusch and Fischer Macroeconomics 6 th Edition.
Census of Economic Establishments in Ethiopia Yasin Mossa Central Statistics Agency of Ethiopia July 2009.
 Statistical Center of Iran is legal responsible for compilation of economic statistics and national accounts. National accounts compile by Economic.
Non-observed economy in Kyrgyz Republic The National Statistical Committee of Kyrgyz Republic Sultanaliev M.K. – Leading specialist of the Department of.
The Australian Approach to the Production Based Measurement of GDP Ian Ewing Deputy Australian Statistician Macroeconomics and Integration Group June.
Agency on statistics under the President of the Republic of Tajikistan Training Workshop on the Compilation of Quarterly National Accounts for Economic.
Forecasting Productivity Growth: 2004 to 2024 Productivity Perspectives March 2006 John Revesz.
Regional Seminar on Developing a Program for the Implementation of the 2008 SNA and Supporting Statistics Leyla BAYRAK NEVES DE ALMEIDA September.
Trial Estimation of FISIM in Japan Y. Onuki ESRI.
1 Overview of Economic Statistics in Africa UNECA Andry Andriantseheno Regional Workshop on Basic Economic Statistics Addis-Ababa October 2007.
1 Method of GDP Estimation in the Year of the First Economic Census of China Outline XU Xianchun Director-general of Department of National Accounts, National.
China ’ s Input-Output Survey and Its Tabulation Method QI Shuchang Dept. of National Accounts, NBS.
Why Economic Census is Important? - The case of National Income in Korea Why Economic Census is Important? - The case of National Income in Korea Kang,
Coverage of OECD NA Questionnaire by Chinese Data ZHAO Hong Department of National Accounts, NBS 6-10 November, 2006 , Paris.
ESTAT/A/1 29/02/ :16 Slide: 1 European Commission - Eurostat Discussion on methodological problems and solutions Practical approaches of the Members.
Statistical Center of Iran Bureau of Economic Accounts(BEA)
The 12th OECD-NBS Workshop on National Accounts Real Value-added Estimation of Real Estate (LIU Nan, NBS) Comments on paper by Roger Jullion, Statistics.
GDP by income approach in Mongolia National Statistical Office, Mongolia.
1 Transition of National Accounts of the Republic of Belarus to 2008 SNA Methodology and Interaction between Producers of Official Statistics National.
Assisting African countries to improve compilation of basic economic statistics: an outline of the UNSD strategy Vladimir Markhonko United Nations Statistics.
China KLEMS Database —— The 2 nd Asia KLEMS Database Management workshop Ren Ruoen Sun Linlin Fan Maoqing Zheng Haitao Li xiaoqin.
Ag. GOVERNMENT statistician
Item 5а National Accounts of Ukraine: Current Status and Development Perspectives Irina N. Nikitina Director of Macroeconomic Statistics Workshop on the.
Quality Aspects and Approaches in Business Statistics
A SUMMARY NOTE ON REVISED GDP ESTIMATES
The Practice and Questions of FOF (Non-financial) Compilation of NBS
Regional Seminar on Developing a Program for the Implementation of the 2008 SNA and Supporting Statistics Bengi YOSUNKAYA September 2013 Ankara.
Presentation transcript:

Annual GDP Estimates by Production and Income Approaches in China Jin Hong Department of National Accounts-NBS Nov.30, 2009

Content I.Industrial Classification II.Data Sources III.Measurement of Value Added by Industries IV.Major Improvement in Recent Period V.Challenges VI.Main Issues need to be Consulted

I. Industrial Classification in national accounts  One-digit category follows Three Industries Division Regulation  Two-digit category is basically equal with GB/T at Two-digit category (section level)  Three-digit category is basically equal with GB/T at division level, but real estate is subdivided into group level, and individual-owned house service is added.  Four-digit category is consistent with three-digit category basically, and Mining, Manufacturing, Production and distribution of electricity, gas and water have been subdivided into more detail industries

 Four-digit category has been implemented in annual GDP estimates, which includes 94 industries altogether.  Two-digit category has been used in Quarterly National Accounts. QNA is measured by 16 industries. I. Industrial Classification in national accounts (Continue)

II. Data Sources  Statistical survey data in NBS Censuses and regular sampling surveys  Financial data Financial questionnaire from 18 administrative departments

II. Data Sources (Continue)  Administrative records Ministry of Finance, Administration of Taxation, People ’ s Bank of China, China Insurance Regulatory Commission, China Securities Regulatory Commission, Administration for Industry & Commerce, Ministry of Civil Affairs Table2 : Data sources of value added by industries

III. Measurement of Value Added by Industries Annual GDP Production approach: 4 industries in Agriculture, Forestry, Animal husbandry and Fishing Mix with Production approach and income approach: 39 industries in Mining, Manufacturing, Production and distribution of Electricity, Gas and Water. Income approach: The other 51 industries.

III. Measurement of Value Added by Industries (Cont.)  Direct Method Output and valued added are calculated directly based on the data sources. 51 industries: Agriculture, Industry, Railway Transport, Post, Finance, Social Welfare, etc. Account for 55% of 94 industries and 63% of GDP.

III. Measurement of Value Added by Industries (Cont.)  Value Added Extrapolation Method Value added is calculated based on data sources at first, and then extrapolation is applied to calculate the valued added of the whole industries using the proportion in basic year (census year). 31 Industries: Construction, Wholesale and Retail, Accommodation and Restaurants, etc, Account for 33% of 94 industries and 33% of GDP.

III. Measurement of Value Added by Industries (Cont.)  Reference Indicator Estimation Method Based on the total output or value added in basic year (census year), growth rates of some reference indicators which can describe the real development of related industries are regarded as the growth rates of related total output or value added, and then value added are calculated by extrapolation. 11 industries : Storage, Computer Services, Resident Services, etc. Account for 12% of 94 industries and 4% of GDP.

IV. Major Improvement in Recent Period 1.Changes of Value Added Measurement of Individual Businesses Firstly, we calculate the amount of taxes per household in each industry. Secondly, the amount of taxes per household is multiplied by the number of self-employed households to obtain tax revenue by industries. After that, tax revenue is divided by legal tax rates to obtain output data. Finally, value added by industries can be calculated with output and valued added rates of small-scale enterprises in relevant sectors.

IV. Major Improvement in Recent Period (Cont.) 2. Improvements of Output Measurement of Finance The output of financial intermediation services indirectly measured (FISIM) is calculated by reference rate approach which is recommended by SNA The output of actual service does not include activities unrelated to financial services, such as exchange gains and exchange losses. The output of Bank and securities do not contain investment revenue.

IV. Major Improvement in Recent Period (Cont.) 3. Changes of Value Added Measurement of Finance  The headquarter and all branches of People ’ s Bank of China are treated as general bank enterprises to calculate their output and value added.  Value added of securities is subdivided into more detailed. According to the Second Economic Census ’ s data, value added of securities is subdivided into three parts, which are securities, fund and futures.  The treatment of stamp duty on securities transactions is improved.

IV. Major Improvement in Recent Period (Cont.) 4. Adjustments of Output Measurement of Headquarters Output of Headquarters = aggregates of operating expense + management expense + financial expense + depreciation at current year

IV. Major Improvement in Recent Period (Cont.) 5. Improvements of Value Added Measurement of Some Industries at Constant Price  Finance industry. -- Bank: Price index deflation method. The deflator is calculated by deposit and loan interest rates and inter- bank interest rates. --Securities: Quantity extrapolation method, the growth rate of stock transaction. --Insurance: Mixed method which combined with quantity extrapolation method and price index deflation method. --Other financial service: Same as Bank.

IV. Major Improvement in Recent Period (Cont.)  Household ’ s owner-occupied dwellings: Quantity extrapolation method, the volume indicator is floor space of residents.

IV. Major Improvement in Recent Period (Cont.)  Wholesale trade: For the part which engaged in wholesale activities, simple average of producer price index and price index for raw materials, fuel and power is used as deflator. For the part which engaged in customs activities, import price index is used as deflator.

IV. Major Improvement in Recent Period (Cont.)  Education, health and other non-market activities: Quantity extrapolation method with some related volume indicators or price index deflation method.

Ⅴ. Challenges  Industrial classification in GDP estimates should be more detailed  Make use of administrative records of all the departments and improve the data quality as much as possible

Ⅵ. Main Issues need to be Consulted  How to obtain the data of industrial activity units Industrial activity units are basic accounting unit in GDP measurement, but the statistical data are collected based on legal units in china. How to transfer legal unit data to industrial activity unit data?

Ⅵ. Main Issues need to be Consulted  How to calculate depreciation for household ’ s owner- occupied dwellings Depreciation Value = value of urban households’ owner-occupied dwellings × depreciation rate (2%) = (Per capita floor space of urban residents × annual average of urban population × urban dwellings construction cost of unit area) × the proportion of private dwellings × depreciation rate (2%)

Ⅵ. Main Issues need to be Consulted  How to calculate value added for Real Estate Exploitation Management We find that their financial statements do not reflect their real business circumstances accurately, because these financial statements have some relationship with their business circumstances in previous years, not only in the current year. As a result, the performance of financial statements is not so good in the year when real estate sales are good, and on the contrary, the performance is not so bad in slump year.

Thanks for your attention.