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Annual Report 2009 - Asian Productivity Organization

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databook project, as this series involves a coordination<br />

meeting every three years and instead resources<br />

were allocated for conducting in-depth research and<br />

surveys to enrich or complement national data where<br />

nonexistent or scarce data for cardinal productivity<br />

indicators were identified as problematic. The <strong>2009</strong><br />

databook project conducted a national wealth survey<br />

in Mongolia to complement insufficient capital stock<br />

and services data to construct an important dataset for<br />

computing multifactor productivity for the country.<br />

APO <strong>Productivity</strong><br />

Databook <strong>2009</strong><br />

Program coverage: Establishment<br />

of a comprehensive set<br />

of questionnaires for data<br />

collection and upgrading;<br />

Comparative analyses of labor<br />

productivity and sources<br />

of economic growth among<br />

APO member countries and<br />

other reference countries;<br />

Mongolian national wealth<br />

survey; Total factor productivity<br />

analysis for selected<br />

countries; and Publication of the APO <strong>Productivity</strong><br />

Databook 2010.<br />

Mongolian Mission: APO <strong>Productivity</strong> Databook<br />

<strong>2009</strong><br />

<strong>Productivity</strong> statistics and national accounts help<br />

policymakers to analyze the progress of socioeconomic<br />

development and welfare status of a nation, so that<br />

pro-growth policy directions can be charted more<br />

accurately. Each volume in the <strong>Productivity</strong> Databook<br />

(PDB) series contains more detailed productivity and<br />

economic growth analyses of the region. Mongolia<br />

was selected as a pilot country to conduct an in-depth<br />

study on establishing national wealth, i.e., capital data.<br />

The APO Secretariat and the Mongolian National<br />

Statistical Office concluded an MOU to conduct a<br />

national wealth survey under the PDB project.<br />

The mission, headed by the chief expert Prof. Koji<br />

Nomura, was dispatched to Mongolia 1–2 April.<br />

Prior to the mission, meticulous research on the<br />

Mongolian national accounts for productivity analysis<br />

was completed, and the research team developed a<br />

specific methodology to measure national wealth or<br />

capital with the aim of estimating various productivity<br />

measures based on the APO standardized methodology.<br />

The survey was initiated in January <strong>2009</strong>, and the<br />

mission supervised the performance of the survey. To<br />

date, the survey response rate is 95%.<br />

Mission coverage: Measurement of national wealth<br />

and capital; Establishment of APO questionnaire for<br />

the national wealth survey for Mongolia; and Training<br />

of regional statistical officers and enumerators.<br />

Mongolian Mission: Supervision of the National<br />

Wealth Survey (APO Survey Initiative)<br />

The mission, headed by Chief Expert Prof. Koji<br />

Nomura, was dispatched to Mongolia 27–30 July.<br />

This mission had the main objective of supervising<br />

the progress of data collection, as well as advising on<br />

programming of statistical error checks, catering to<br />

the specific problems of data collection reported by<br />

the Mongolian counterpart. Approximately 90% of<br />

the data collection has been done, and most of the<br />

collected data were entered into the system by the<br />

time of the mission. The main challenge of the mission<br />

was to reduce statistical errors in data entry and code<br />

the asset classification, thus ensuring high-quality data<br />

production from the survey. Furthermore, the mission<br />

conducted an archive research and completed English<br />

translation of the comprehensive historical statistical<br />

data list of Mongolia.<br />

Mission coverage: Measurement of national wealth<br />

and capital; Assistance in development of statistical<br />

error check software; Comprehensive archive and<br />

metadata research for Mongolian economic statistics.<br />

APO <strong>Productivity</strong> Database (Phase III)<br />

The APO is the sole international organization<br />

focusing on productivity in the context of economic<br />

growth and development in the Asia-Pacific region.<br />

The <strong>Productivity</strong> Database (PDB) project is a major<br />

thrust of the APO’s think tank and advisory roles<br />

for member countries. The PDB aims to cater to the<br />

changing needs for comparative productivity measurement<br />

based on internationally harmonized methodology,<br />

and the outputs and knowledge gained from the<br />

research are expected to contribute to developing and<br />

building the capacity of member countries.<br />

Building upon Phase I and Phase II, Phase III of<br />

the PDB project was embarked upon to continue to<br />

improve the data quality and coverage of productivity<br />

indicators, while extending the scope to certain crucial<br />

indicators enabling in-depth productivity analyses,<br />

including total factor productivity (TFP) analysis.<br />

Phase III completed a detailed examination of labor<br />

quality, a well-recognized indicator that helps evaluate<br />

the role of the accumulation of human capital in<br />

economic development. During Phase III, a study<br />

was initiated to investigate land as a factor of production<br />

for attempting to evaluate productivity growth<br />

in the agriculture and service sectors. Moreover,<br />

under this research phase, the PDB constructed a<br />

comprehensive Web-based database, the APO <strong>Asian</strong><br />

Quarterly Growth Map (AQGM), which analyzes<br />

the quarterly economic growth of APO member<br />

countries on the APO Web site, based on the most<br />

recent quarterly GDP data released by the respective<br />

national statistics authorities. The AQGM covers not<br />

APO ANNUAL REPORT <strong>2009</strong> 23<br />

INDUSTRY AND SERVICE SECTORS

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