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SCIENCE AND TECHNOLOGY RESEARCH AND DEVELOPMENT (R&D)

EXPENDITURE ON R&D

INVESTMENT IN KNOWLEDGE

RESEARCHERS

PATENTS

ICT

SIZE OF THE ICT SECTOR

INVESTMENT IN ICT COMPUTER AND INTERNET ACCESS BY HOUSEHOLDS

COMMUNICATIONS EXPORTS OF INFORMATION AND COMMUNICATIONS EQUIPMENT

TELEPHONE ACCESS

Source

? OECD (2005), Main Science and Technology Indicators , OECD, Paris.

Futher information

Analytical publications

? OECD (2005), OECD Science, Technology and Industry Scoreboard , OECD, Paris.

Statistical publications

? OECD (2005), OECD Science, Technology and R&D Statistics on CD-ROM , OECD, Paris.

Methodological publications

? OECD (2003), Frascati Manual 2002: Proposed Standard Practice for Surveys on Research and Experimental Development , OECD, Paris.

Online databases

? STAN: OECD Structural Analysis Statistics – online database , ANBERD: R&D Expenditure in Industry.

Web sites

? OECD Science, Technology and Industry, https://www.doczj.com/doc/169250169.html,/sti .

Long-term trends

Since 2000, R&D expenditure relative to GDP (R&D intensity) has increased in Japan and, to a lesser

extent, in the EU, and it has decreased slightly in the United States.

In 2003, Sweden, Finland, and Japan were the only three OECD countries in which the R&D-to-GDP ratio exceeded 3%, well above the OECD average of 2.3%. Since the mid-1990s, R&D expenditure (in real terms) has been growing the fastest in Iceland, T urkey and Portugal, all of which had average annual growth rates above 10%.

R&D expenditure for China has been growing even faster than GDP , resulting in a rapidly increasing R&D intensity, growing from 1.0% in 2000 to 1.4% in 2004.

EXPENDITURE ON R&D

Expenditure on research and development (R&D) is a key indicator of government and private sector efforts to obtain competitive advantage in science and technology. In 2003, research and development amounted to 2.3% of GDP for the OECD as a whole.

De?nition

Research and development (R&D) comprise creative work undertaken on a systematic basis in order to increase the stock of knowledge, including knowledge of man, culture and society, and the use of this stock of knowledge to devise new applications. R&D is a term covering three activities: basic research, applied research, and experimental development. Basic research is experimental or theoretical work undertaken primarily to acquire new knowledge of the underlying foundation of phenomena and observable facts, without any particular application or use in view. Applied research is also original investigation undertaken in order to acquire new knowledge. It is, however, directed primarily towards a speci?c practical aim or objective. Experimental development is systematic work, drawing on existing knowledge gained from research and/or practical experience, that is directed to producing new materials, products or devices, to installing new processes, systems and services, or to improving substantially those already produced or installed.

The main aggregate used for international comparisons is gross domestic expenditure on R&D (GERD). This consists of the total expenditure (current and capital) on R&D by all resident companies, research institutes, university and government laboratories, etc. It excludes R&D expenditures ?nanced by domestic ?rms but performed abroad.

Comparability

The R&D data shown here have been compiled according to the guidelines of the Frascati Manual . It should, however, be noted that over the period shown, several countries have improved the coverage of their surveys of R&D activities in the services sector (Japan, Netherlands, Norway and United States) and in higher education (Finland, Greece, Japan, Netherlands, Spain and the United States). Other countries, including especially Italy, Japan and Sweden, have worked to improve the international comparability of their data. Some of the changes shown in the table re?ect these methodological improvements as well as the underlying changes in R&D expenditures.

For Korea, social sciences and humanities are excluded from the R&D data. For the United States, capital expenditure is not covered.

Data for Brazil and India are not completely according to Frascati Manual guidelines, and were compiled from national sources. Data for Brazil, India and South Africa are underestimated, as are the data for China before 2000.

SCIENCE AND TECHNOLOGY ? RESEARCH AND DEVELOPMENT (R&D)

SCIENCE AND TECHNOLOGY ? RESEARCH AND DEVELOPMENT (R&D)

EXPENDITURE ON R&D

Gross domestic expenditure on R&D

As a percentage of GDP

1991

19921993

19941995

19961997

19981999

20002001

20022003

2004

Belgium 1.62.. 1.70 1.69 1.72 1.80 1.87 1.90 1.96 2.00 2.11 1.96 1.89..Canada 1.60 1.64 1.70 1.76 1.72

1.68 1.68 1.79 1.82 1.93

2.08 1.97 1.95 1.93Czech Republic 1.90 1.62 1.14 1.030.950.98 1.09 1.17 1.16 1.23 1.22 1.22 1.26 1.28Denmark 1.61 1.64 1.72.. 1.82 1.84 1.92 2.04 2.18.. 2.39 2.53 2.62..Finland 2.02 2.11 2.14 2.26 2.26 2.52 2.69 2.86

3.21 3.38 3.38 3.43 3.48..France 2.33 2.33 2.37 2.32 2.29 2.27 2.19 2.14 2.16 2.15 2.20 2.23 2.18 2.16Germany 2.47 2.35 2.28 2.18 2.19 2.19 2.24 2.27 2.40 2.45 2.46 2.49 2.52 2.49Greece 0.36..0.47..0.49..0.51..0.67..0.65..0.62..Hungary 1.06 1.040.970.880.730.650.720.680.690.800.95 1.020.950.88Iceland 1.18 1.36 1.37 1.41 1.58.. 1.89 2.08 2.39 2.76 3.08 3.14 2.97..Ireland 0.93 1.04 1.17 1.27 1.28 1.32 1.29 1.25 1.19 1.14 1.11 1.12 1.19 1.21Italy 1.23 1.18 1.13 1.05 1.00 1.01 1.05 1.07 1.04 1.07 1.11 1.16....Japan 2.76 2.71 2.63 2.58 2.69 2.78 2.84 2.95 2.96 2.99 3.07 3.12 3.15..Korea 1.84 1.94 2.12 2.32 2.37 2.42 2.48 2.34 2.25 2.39 2.59 2.53 2.63..Luxembourg .................. 1.71.... 1.78..Mexico https://www.doczj.com/doc/169250169.html,herlands 1.97 1.90 1.93 1.97 1.99 2.01 2.04 1.94 2.02 1.90 1.88 1.80 1.8

4..New Zealand 0.98 1.00 1.01..0.96.. 1.10.. 1.01.. 1.1

5.. 1.1

6..Norway 1.64.. 1.72.. 1.70.. 1.64.. 1.65.. 1.60 1.67 1.75..Poland 0.760.780.780.710.650.670.670.680.700.660.640.580.56..Portugal 0.570.610.610.590.570.600.620.690.750.800.850.800.78..Slovak Republic 2.13 1.78 1.380.900.930.92 1.090.790.660.650.640.580.580.53Spain 0.810.850.850.790.790.800.790.870.860.910.920.99 1.05..Sweden 2.72.. 3.1

7.. 3.35.. 3.54.. 3.65.. 4.29.. 3.9

8..Switzerland .. 2.5

9...... 2.67...... 2.57........Turkey 0.530.490.440.360.380.450.490.500.630.640.720.66....United Kingdom 2.07 2.03 2.06 2.01 1.95 1.88 1.81 1.80 1.87 1.86 1.87 1.89 1.88..United States 2.71 2.64 2.52 2.42 2.51 2.55 2.58 2.62 2.66 2.74 2.76 2.65 2.68 2.68EU15 1.87 1.85 1.84 1.80 1.78 1.78 1.78 1.79 1.84 1.87 1.90 1.91 1.91..India

..............0.610.670.720.78......Russian Federation 1.430.740.770.840.850.97 1.040.95 1.00 1.05 1.18 1.25 1.29 1.17South Africa

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StatLink: https://www.doczj.com/doc/169250169.html,/10.1787/315080082477

Gross domestic expenditure on R&D

As a percentage of GDP , 2004 or latest available year

Source

? OECD (2005), OECD Science, Technology and Industry Scoreboard , OECD, Paris.

Futher information

Analytical publications

? Ahmad, N. (2003), Measuring Investment in Software , OECD Science, Technology and Industry Working Papers, No. 2003/6, OECD, Paris.

Statistical publications

? OECD (2005), Main Science and Technology Indicators , OECD, Paris.

? OECD (2005), OECD Science, Technology and R&D Statistics on CD-ROM , OECD, Paris.

Methodological publications

? Kahn, M. (2001), “Investment in Knowledge”, STI Review No. 27, OECD, Paris.

? Kahn, M. (2005), “Estimating the level of Investment in Knowledge across OECD countries”, Intellectual Capital for Community – Nations, Regions, and Cities edited by Ahmed Bounfor and Leif Edvinsson , Elsevier Butterworth-Heinemann, Amsterdam; Boston.

Web sites

? OECD Measuring Science and Technology, https://www.doczj.com/doc/169250169.html,/sti/measuring-scitech .

? OECD Science, Technology and Industry Scoreboard, https://www.doczj.com/doc/169250169.html,/scoreboard .

Long-term trends

The United States and Japan are moving more

rapidly towards a knowledge-based economy than the EU: since 1994, their investment in knowledge-to-GDP ratios have grown at a higher rate than that of the EU. For all the countries, except Ireland, the ratio of investment in knowledge-to-GDP was higher in 2002 than in 1994.

For most countries, increases in software

expenditure were the major source of increased investment in knowledge. Notable exceptions are Finland (where R&D was the main source of increase) and Greece (where higher education and software were the main sources of increase). In 2002, investment in knowledge amounted to 5.2% of GDP in the OECD area, a share that has increased over time. In 2002, the United States invested 6.6% of GDP in knowledge, Japan 5.0% and the European Union 3.8%. Like the United States, Sweden and Finland also invested more than 6% of GDP in

knowledge in 2002, while less than 2% of GDP was invested in knowledge in Portugal and Greece.

INVESTMENT IN KNOWLEDGE

“Investment in knowledge” is a synthetic indicator designed to compare member countries’ expenditures on their “knowledge base” which are aimed at bringing future returns.

De?nition

Investment in knowledge is de?ned and calculated as the sum of expenditure on R&D, on total higher education (public and private) and on software. Simple summation of the three components would lead to overestimation of the investment in knowledge owing to overlaps (R&D and software, R&D and education, software and education). Therefore, data reported here have been adjusted to exclude the overlaps between components.

Note that as the term is used here, “investment” has a broader connotation than its usual meaning in economic statistics. It includes current expenditures, such as on education and R&D, as well as capital outlays, such as purchases of software and construction of school buildings.

Comparability

The OECD is the source of the data on R&D, education and software. In previous years, the software component of investment in knowledge was estimated from a private source. However, the OECD has recently developed a capital services database, which includes software investment data. Software data from the OECD’s capital services database are used here, and the ?gures reported here differ from those of previous years.

SCIENCE AND TECHNOLOGY ? RESEARCH AND DEVELOPMENT (R&D)

Investment in knowledge for selected countries

As a percentage of GDP

1994

19951996199719981999200020012002

34

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SCIENCE AND TECHNOLOGY ? RESEARCH AND DEVELOPMENT (R&D)

INVESTMENT IN KNOWLEDGE

Investment in knowledge

As a percentage of GDP

1994

19951996199719981999200020012002

Belgium .......... 3.6 3.7 3.9 3.8Canada 4.5 4.4 4.2 4.0 4.1 4.7 4.7 5.0 4.7Denmark 3.7 3.9 3.9

4.0 4.7 4.9

5.0 5.3 5.5Finland 4.7 5.0 4.8 5.4 5.5 5.7 5.9

6.0 6.1France 3.4 3.5 3.5 3.5 3.5 3.6 3.6 3.7 3.7Germany 3.4 3.4 3.5 3.6 3.6 3.8 3.8 3.9 3.9Greece 1.1 1.1 1.2 1.7 1.8 1.7 1.6 1.9..Ireland 2.6 2.5 2.7 2.5 2.5 2.5 2.6 2.5 2.4Italy 2.0 2.0 2.1 2.1 2.1 2.2 2.3 2.4..Japan 3.9 3.9 4.1 4.2 4.5 4.7 4.7 4.9 5.0Korea .. 4.9 5.2 5.4 5.5 5.3 5.8 6.1 5.9Netherlands 3.4 3.3 3.6 3.6 3.7 4.0 3.9 4.0 3.8New Zealand ................ 2.8Portugal 1.3 1.4 1.5 1.6 1.7 1.8 1.8 1.9 1.8Spain 2.1 2.1 2.3 2.3 2.4 2.5 2.7 2.7 2.8Sweden 5.1 5.3 5.5 5.7 6.0 6.4 6.9

7.1 6.8United Kingdom 3.5 3.6 3.6 3.4 3.7 3.7 3.6 3.6 3.7United States

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Investment in knowledge

As a percentage of GDP , 2002 or latest available year

Source

? OECD (2005), Main Science and Technology Indicators , OECD, Paris.

Futher information

Analytical publications

? OECD (2005), OECD Science, Technology and Industry Scoreboard , OECD, Paris.

Statistical publications

? OECD (2005), OECD Science, Technology and R&D Statistics on CD-ROM , OECD, Paris.

Methodological publications

? OECD (2003), Frascati Manual 2002: Proposed Standard Practice for Surveys on Research and Experimental Development , OECD, Paris.

Web sites

? OECD Measuring Science and Technology, https://www.doczj.com/doc/169250169.html,/sti/measuring-scitech .

? OECD Science, Technology and Industry, https://www.doczj.com/doc/169250169.html,/sti .? OECD Science, Technology and Industry Scoreboard, https://www.doczj.com/doc/169250169.html,/scoreboard .

Long-term trends

In 2002, there were about 8.3 researchers per

thousand employees in the OECD area, compared with 5.7 per thousand in 1991. The number of

researchers has steadily increased over the last two decades. Among the major OECD regions, Japan has the highest number of researchers relative to total employment, followed by the United States and the European Union.

Finland, Japan, New Zealand and Sweden have the highest number of research workers per thousand persons employed. Rates are also high in the United States, Denmark, France and Australia. Research workers per thousand employees are low in the Czech Republic, Hungary and Portugal.

Among the major non-member countries, growth has been steady in China, although, at 1.2 in 2004, it still remains well below the OECD average. The rate for the Russian Federation has been falling since 1994, but was still above 7 researchers per thousand employed in 2004.

RESEARCHERS

Researchers are the central element of the research and development system. In 2002, approximately 3.6 million persons in the OECD area were employed in research and development and approximately two-thirds of these were engaged in the business sector.

De?nition

Researchers are de?ned as professionals engaged in the conception and creation of new knowledge, products, processes, methods and systems as well as those who are directly involved in the management of projects. They include researchers working in both civil and military research in government, universities, research institutes as well as in the business sector.

Comparability

The number of researchers is expressed in full-time equivalent (FTE) on R&D (i.e. a person working half-time on R&D is counted as 0.5 person-year) and includes staff engaged in R&D during the course of one year. The data have been compiled on the basis of the methodology of the Frascati Manual, but comparability over time is affected to some extent by improvements in the coverage of national R&D surveys and efforts by countries to improve the international comparability of their data.

For the United States, the total researchers ?gure for 2000-2002 is an OECD estimate, and data since 1985 exclude military personnel.

Data for Brazil and India are not completely according to Frascati Manual guidelines, and were compiled from national sources. Data for Brazil, India and South Africa are underestimated, as are the data for China before 2000.

SCIENCE AND TECHNOLOGY ? RESEARCH AND DEVELOPMENT (R&D)

SCIENCE AND TECHNOLOGY ? RESEARCH AND DEVELOPMENT (R&D)

RESEARCHERS

Researchers

Per thousand employed, full-time equivalent

1991

1992199319941995199619971998199920002001200220032004

Belgium 4.7.. 5.5 5.9 6.1 6.5 6.87.07.47.57.8......Canada 5.1 5.5 5.7 6.4 6.4 6.6 6.6 6.6 6.77.2

7.57.2....Czech Republic ........ 2.3 2.5 2.4 2.5 2.8 2.9 3.1 3.1 3.3 3.5Denmark 4.6 5.0 5.3.. 6.1 6.3 6.5.. 6.9..7.09.29.3..Finland 6.0..7.4..8.2..12.313.914.515.115.816.417.7..France 5.7 6.2 6.5 6.6 6.7 6.8 6.8 6.7 6.87.17.27.57.8..Germany 6.3...... 6.2 6.1 6.3 6.3 6.6 6.6 6.7 6.87.0..Greece 1.7.. 2.2.. 2.5.. 2.9.. 3.7.. 3.7......Hungary 3.2 3.0 3.1 3.1 2.9 2.9 3.1 3.2 3.3 3.8 3.8 3.9 3.9 3.8Ireland 4.4 4.8 4.1 4.3 4.5 4.8 5.0 5.1 4.9 5.0 5.1 5.3 5.5 5.8Italy 3.3 3.3 3.3 3.4 3.4 3.5 3.0 2.9 2.9 2.9 2.8 3.0....Japan 7.57.77.98.18.39.29.29.79.99.710.29.910.4..Korea ........ 4.9 4.8 4.8 4.7 4.9 5.1 6.3 6.4 6.8..Luxembourg .................. 6.2.... 6.6..Mexico https://www.doczj.com/doc/169250169.html,herlands .... 4.6 4.9 4.9 4.9 5.0 5.1 5.1 5.2 5.5 5.2....New Zealand 4.0 5.1 5.3.. 4.7.. 6.2.. 6.2..9.1..10.2..Norway 6.6..7.2..7.5..7.9..8.0..8.7..9.1..Poland ...... 3.0 3.2 3.3 3.4 3.4 3.6 3.5 3.7 3.8 4.5..Portugal 1.9 2.1 2.2 2.3 2.6 2.8 3.0 3.1 3.3 3.4 3.5 3.8 4.0..Slovak Republic ...... 4.9 4.6 4.6 4.7 4.8 4.5 4.9 4.7 4.5 4.7 5.2Spain 2.8 2.9 3.1 3.5 3.4 3.6 3.7 3.9 3.9 4.7 4.7 4.8 5.2..Sweden 5.9..7.2..8.2..9.2..9.6..10.6..11.0..Switzerland .. 4.4...... 5.6...... 6.3........Turkey 0.60.70.70.70.80.90.90.90.9 1.1 1.1 1.1....United Kingdom 4.6 4.7 4.8 4.9 5.3 5.2 5.1 5.5............United States 8.1..8.2..8.1..8.8..9.39.39.59.6....China 0.70.70.70.80.80.80.80.70.7 1.0 1.0 1.1 1.2 1.2India

..............0.3............Russian Federation ......9.19.28.58.27.77.87.87.87.57.47.1South Africa

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Researchers

Per thousand employed, full-time equivalent, 2004 or latest available year

Source

? OECD (2005), OECD Science, Technology and Industry Scoreboard , OECD, Paris.

Futher information

Analytical publications

? Dernis, H., D. Guellec and B. van Pottelsberghe (2001), “Using Patent Counts for Cross-country Comparisons of Technology Output”, STI Review No. 27, OECD, Paris.? Johnson, D. (2002), The OECD Technology Concordance (OTC): Patents by Industry of Manufacture and Sector of Use , OECD Science, Technology and Industry Working Papers, No. 2002/5, OECD, Paris.

? Lichtenberg, F . and S. Virabhak (2002), Using Patents Data to Map Technical Change in Health-Related Areas , OECD Science, Technology and Industry Working Papers, No. 2002/16, OECD, Paris.

Methodological publications

? Dernis, H. and M. Khan (2004), Triadic Patent Families Methodology , OECD Science, Technology and Industry Working Papers, No. 2004/2, OECD, Paris.

Online databases

? OECD Patent Database .

Web sites

? OECD Intellectual Property Rights, https://www.doczj.com/doc/169250169.html,/sti/ipr .? OECD Work on Patents, https://www.doczj.com/doc/169250169.html,/sti/ipr-statistics .

Long-term trends

In 2002, there were 50 494 patent families in the OECD area, a 55% increase from 1990. The United States accounted for 36% of the OECD total, followed by the European Union (32%) and Japan (26%). Over the 1990s, the European Union’s share of patent

families converged towards that of the United States, while that of Japan declined.

The graph shows patent families per million

population. Sweden, Japan, Finland and Switzerland had the highest propensities to patent among OECD countries.

In 2002, Switzerland had 126 patent families per million population and Finland had 114. Japan (104) and Sweden (100) also had a high propensity to patent. In contrast, China, T urkey and Mexico had low propensities to patent.

The numbers of triadic patent families are still insigni?cant for the ?ve non-member countries shown in the table, although the numbers are growing quite rapidly in China and, to a lesser extent, in India.

PATENTS

Patent-based indicators provide a measure of the output of a country’s R&D, i.e. its inventions. However, the methodology used can in?uence the results. Simple counts of patents ?led at an intellectual property of?ce are affected by various kinds of bias, such as weaknesses in international comparability (home advantage for patent applications) and highly heterogeneous patent values. The OECD has developed a patents indicator using what are here called triadic patent families . This indicator is designed to capture all important inventions and to be internationally comparable.

De?nition

A patent family is de?ned as a set of patents taken in various countries (i.e. patent of?ces) to protect the same invention. Triadic patent families are a set of patents taken at all three of these major patent of?ces – the European Patent Of?ce (EPO), the Japanese Patent Of?ce (JPO) and the United States Patent and Trademark Of?ce (USPTO). Triadic patent family counts are attributed to the country where the patent is ?rst registered.

Comparability

The concept of triadic patent families has been developed in order to improve the international comparability and quality of patent-based indicators.

SCIENCE AND TECHNOLOGY ? RESEARCH AND DEVELOPMENT (R&D)

Share of countries in triadic patent families

Percentage, Year 2002

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SCIENCE AND TECHNOLOGY ? RESEARCH AND DEVELOPMENT (R&D)

PATENTS

Number of triadic patent families

1990

199119921993199419951996199719981999200020012002

Belgium 224240295329348372352415403416436424397Canada 289274271297357384432525546603640670661

Czech Republic 79775310101411111212Denmark 127106135160176189220209225228246228216Finland 150162225243340312353441442482524579594France 1919178416511697187419072121216723102380245424512447Germany 4115

3681

3874

4001

4361

4823

546455626097

6361

7156

7302

7271

Greece 456341131084657Hungary 30221923202525321835322827Iceland 1301367457878Ireland 27272319283029343356585860Italy 646663579629622610688724790792821848840Japan 99408894819684958263948710490110251125711844123551293713195Korea 6593121167213327325386466501532593630Luxembourg 17991471315162020192221Mexico 76665129121211141515Netherlands 591569614594649727787810846874918931966New Zealand 9192613232032394435394041Norway 525973718087769293100106100106Poland 5951245109471099Portugal 1344233744886Slovak Republic 001112143353..Spain 73706573858887107121117119121120Sweden 43239151750063170179584899410531033967896Switzerland 788723716708713748798805856913949951924Turkey 1002222374679United Kingdom 1454125413061363146515201608158015961955207820932045United States 11171102371061010520110951210012921140081291516353175341821318324EU159950913994499804108011151712750131811415615014161541631316167China 1212161718202243447592133144India

1295861115233132526978Russian Federation 21384533526258658874846559South Africa 13173233202629323533383838World

32753

29964

30020

30675

32189

35388

38655

41035

41419

46614

49698

51263

51502

20

40

60

80

100

120

125.8

C h i n a T u r k e y M e x i c o P o l a n d R u

s s i a n F e d e r a t i o n P o r t u g a l

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Number of triadic patent families

Per million population, 2002

Source

? OECD (2005), OECD Science, Technology and Industry Scoreboard , OECD, Paris.

Futher information

Analytical publications

? OECD (2003), ICT and Economic Growth: Evidence from OECD countries, industries and ?rms , OECD, Paris.

? OECD (2005), Guide to Measuring the Information Society , OECD, Paris.

? OECD (2005), OECD Communications Outlook , OECD, Paris.? OECD (2005), OECD Information Technology Outlook , OECD, Paris.

Statistical publications

? OECD (2004), Understanding Economic Growth A Macro-level, Industry-level, and Firm-level Perspective , OECD, Paris.

Online databases

? Telecommunications Database .

Web sites

? OECD Science, Technology and Industry, https://www.doczj.com/doc/169250169.html,/sti .? OECD Telecommunications and Internet Policy, https://www.doczj.com/doc/169250169.html,/sti/telecom .

Long-term trends

The ICT sector grew strongly in OECD countries over the 1990s. The share of ICT services has grown most in the Czech Republic, Finland, Korea and Sweden. In Finland, the ICT manufacturing sector’s share of manufacturing value added doubled over 1995-2001 and now represents 23% of total manufacturing value added. In 2001, the ICT manufacturing sector represented between 2.2% and 22.9% of total

manufacturing value added in OECD countries. The average share for the 25 OECD countries for which data are available was about 7% and was slightly lower in the European Union.

The ICT services sector is largest, at over 12% of

business services value added in the Czech Republic, Finland, Ireland and Sweden. It is smallest in Mexico, Japan and the Slovak Republic.

In most OECD countries, ICT services have

increased their relative share of business services value added, owing to the increasing importance of telecommunication services and software in OECD countries and, more broadly, a general shift towards a services economy. For example, most OECD countries already have a well-developed telecommunication services sector, which makes a sizeable contribution to ICT value added. At the same time, there has been a noticeable increase in the contribution of computer and related services, mainly software services.

SIZE OF THE ICT SECTOR

Information and communication technologies (ICT) have been at the heart of economic changes for more than a decade. ICT-producing sectors play an important role, notably by contributing to rapid technological progress and productivity growth.

De?nition

In 1998, the OECD countries reached agreement on an industry-based de?nition of the ICT sector based on Revision 3 of the International Standard Industrial Classi?cation (ISIC Rev. 3). The principles underlying the de?nition are the following.

For manufacturing industries, the products of a candidate industry must be intended to ful?ll the function of information processing and communication including transmission and display, must use electronic processing to detect, measure and/or record physical phenomena or control a physical process.

For services industries, the products of a candidate industry must be intended to enable the function of information processing and communication by electronic means.

Comparability

The existence of a widely accepted de?nition of the ICT sector is the ?rst step towards making comparisons across time and countries possible. However, the de?nition is not as yet consistently applied and data provided by member countries have been combined with different data sources to estimate ICT aggregates compatible with national accounts totals. For this reason, statistics presented here may differ from ?gures contained in national reports and in previous OECD publications.

SCIENCE AND TECHNOLOGY ? ICT

SCIENCE AND TECHNOLOGY ? ICT

SIZE OF THE ICT SECTOR

Share of ICT in value added, 2001

Share of ICT in services

Share of ICT in manufacturing

As a percentage of total business services value added

As a percentage of total manufacturing value added

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ICT in services

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Share of ICT in value added

As a percentage of total business services and total manufacturing value added, 2001

Source

? OECD Productivity Database .

Futher information

Analytical publications

? OECD (2003), ICT and Economic Growth: Evidence from OECD countries, industries and ?rms , OECD, Paris.

? OECD (2005), OECD Communications Outlook , OECD, Paris.? OECD (2005), OECD Information Technology Outlook , OECD, Paris.

? OECD (2005), OECD Science, Technology and Industry Scoreboard , OECD, Paris.

Statistical publications

? OECD (2005), National Accounts of OECD Countries , OECD, Paris.

? OECD (2005), STAN Industry Structural Analysis Database on CD-Rom , OECD, Paris.

Methodological publications

? Ahmad, N. (2003), Measuring Investment in Software , OECD Science, Technology and Industry Working Papers, No. 2003/6, OECD, Paris.

? Lequillier, F . et al. (2003), Report of the OECD Task Force on Software Measurement in the National Accounts , OECD Statistics Working Papers, No. 2003/1, OECD, Paris.? Schreyer, P ., P .-E. Bignon and J. Dupont (2003), OECD

Capital Services Estimates , OECD Statistics Working Papers, No. 2003/6, OECD, Paris.

Online databases

? STAN: OECD Structural Analysis Statistics – online database .

Web sites

? OECD Productivity Database,

https://www.doczj.com/doc/169250169.html,/statistics/productivity .

Long-term trends

ICT shares in total non-residential investment doubled, and in some cases, even quadrupled between 1980 and 2003. In 2002/2003, ICT shares were particularly high in Sweden, Finland, Australia and the United States.

Software has been the fastest growing component of ICT investment. In many countries, its share in non-residential investment multiplied several times between 1980 and 2003. Software’s share in total investment is highest in Denmark, Finland, Sweden and the United States.

INVESTMENT IN ICT

Investment in physical capital is important for growth. It is a way to expand and renew the capital stock and enable new technologies to enter the production process. Information and communication technology (ICT) has been the most dynamic component of investment in recent years.

De?nition

Investment is de?ned in accordance with the 1993 System of National Accounts . It covers the acquisition of equipment and computer software that is used in production for more than one year. ICT has three components: information technology equipment (computers and related hardware), communications equipment and software. Software includes acquisition of pre-packaged software, customised software and software developed in house.

The investment shares shown in the table and graph are percentages of each country ’s gross ?xed capital formation, excluding residential construction.

Comparability

Correct measurement of ICT investment in both nominal and volume terms is crucial for estimating the contribution of ICT to economic growth and performance. Data availability and measurement of ICT investment based on national accounts vary considerably across OECD countries, especially as regards the measurement of investment in software, the methods of de?ation, the breakdown by institutional sector and the length of time series.

Expenditure on software has only recently been treated as investment in the national accounts, and methodologies still vary across countries. The United States is among the few countries that produces estimates of expenditure on the three separate software components; other countries usually provide estimates for some software components only. To tackle the speci?c problems relating to software in the national accounts, a joint OECD-EU task force on the measurement of software in the national accounts has developed recommendations concerning the capitalisation of software.

Note that ICT components that are incorporated in other products, such as motor vehicles or machine tools, are included in the value of those other products and are excluded from ICT investment as de?ned here.

SCIENCE AND TECHNOLOGY ? ICT

SCIENCE AND TECHNOLOGY ? ICT

INVESTMENT IN ICT

Shares of ICT investment in non-residential fixed capital formation

As a percentage of total non-residential fixed capital formation, total economy

1990

1991199219931994199519961997199819992000200120022003

Belgium 17.717.818.815.916.918.018.419.421.521.724.223.3

20.319.9Canada 13.214.216.116.916.416.818.017.518.819.920.620.119.318.4Denmark 16.617.017.619.317.519.119.119.619.120.219.518.819.419.6Finland 12.414.818.522.925.725.820.225.125.226.426.325.927.626.6France 7.87.57.68.18.69.09.811.011.912.212.813.213.7..Germany 13.913.713.213.313.213.314.214.715.316.517.417.816.915.5Greece 7.59.39.313.211.710.010.911.012.411.712.814.311.510.8Ireland 4.3 5.7 5.7 5.8 6.79.68.78.29.610.914.211.49.68.1Italy 14.214.214.214.315.114.815.116.315.915.416.116.915.715.8Japan 8.28.88.99.19.110.312.512.412.914.214.714.713.6..Korea ..........12.212.713.515.218.120.820.018.816.4Netherlands 12.712.413.013.713.513.114.015.517.117.617.717.716.817.8New Zealand 16.717.617.715.816.014.915.316.218.918.121.019.519.6..Norway 8.68.08.48.49.39.99.810.09.610.911.812.512.6..Portugal 9.711.310.610.711.412.212.212.013.013.412.413.111.913.6Spain 13.912.611.712.713.012.714.614.414.715.616.015.314.1..Sweden 15.716.919.424.623.823.522.724.226.327.930.527.825.526.6United Kingdom 14.314.815.617.219.121.722.721.324.323.725.023.422.021.8United States

24.7

26.5

28.0

27.2

26.8

27.6

28.5

29.6

30.1

32.4

34.2

32.9

32.4

33.2

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10

15

20

25

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Shares of ICT investment in non-residential ?xed capital formation

As a percentage of total non-residential ?xed capital formation, total economy, 2003 or latest available year

Source

? OECD (2005), OECD Science, Technology and Industry Scoreboard , OECD, Paris.

Futher information

Analytical publications

? OECD (2004), Access Pricing in Telecommunications , OECD, Paris.

? OECD (2005), OECD Communications Outlook , OECD, Paris.

Statistical publications

? Eurostat (2005), Eurostat community survey on ICT usage in households and by individuals , May 2005, Eurostat, Luxemboug.

? OECD (2003), OECD Telecommunications Database , CD-Rom, OECD, Paris.

Web sites

? OECD Science, Technology and Industry, https://www.doczj.com/doc/169250169.html,/sti .? OECD Telecommunications and Internet Policy, https://www.doczj.com/doc/169250169.html,/sti/telecom .

Long-term trends

Penetration rates are high in Iceland, Denmark, Korea, Japan and Norway, where more than 70% of households had access to a home computer by 2004. On the other hand, shares in the Czech Republic, Greece, Mexico and T urkey were below 30%. Between 2000 and 2004, the percentages of households with access to a home computer increased particularly sharply in Austria, France and Japan.

The picture with regard to Internet access is similar. In Korea, Iceland, Denmark, Switzerland, Norway and Germany, more than 60% of households had Internet access by 2004. In the Czech Republic, Greece, Hungary, Mexico and T urkey, on the other hand, only about one-?fth or less had Internet access by 2004.

Data on Internet access by household composition – with or without dependent children – are available for most OECD countries. In general, they show that households with children were more likely to have Internet access at home in 2004.

COMPUTER AND INTERNET ACCESS BY HOUSEHOLDS

Computers are increasingly present in homes in OECD countries, both in countries that already have high penetration rates and in those where adoption has lagged.

De?nition

The table shows the number of households that reported having at least one personal computer in working order. The second part of the table shows the percentage of households who reported that they had access to the Internet. In almost all cases, this access is via a personal computer, either using a dial-up, DSL, ?bre optic and other broadband access.

Comparability

Over a very short period, national statistical of?ces have made great progress in providing indicators of the use of information and communication technology. From an international perspective, the major drawback of of?cial statistics on ICT use is that they remain based on different standards and measure rapidly changing behaviour at different points in time. Most countries use existing surveys, such as labour force, time use, household expenditure or general social surveys. Others rely on special surveys.

Another issue for international comparability is the choice between households and individuals as the survey unit. Household surveys generally provide information on both the household and the individuals in the household. Person-based data typically provide information on the number of individuals with access to a technology, those using the technology, the location at which they use it and the purpose of use.

Statistics on ICT use by households may run into problems of international comparability because of structural differences in the composition of households. On the other hand, statistics on individuals may use different age groups, and age is an important determinant of ICT use. Household-based and person-based measures yield different ?gures in terms of levels and growth rates. Such differences complicate international comparisons and make benchmarking exercises based on a single indicator of Internet access or use misleading, since country rankings change according to the indicator used.

The OECD and Eurostat have addressed issues of international comparability by developing a model survey on ICT use in households/by individuals. The model survey is designed to be ?exible; it uses modules addressing different topics so that additional components can be added as technologies re?ecting usage practices and policy interests change.

In the case of Korea, data for 2000 to 2003 includes Internet access only via computer. In the 2004 survey, Internet access through mobile phone was also included. The value for 2004 excluding mobile phone access is 72.2%.

SCIENCE AND TECHNOLOGY ? ICT

SCIENCE AND TECHNOLOGY ? ICT

COMPUTER AND INTERNET ACCESS BY HOUSEHOLDS

Households with access to home computers and the Internet

Percentage of households with access to a home computer

Percentage of households with access to the Internet

102030405060708090T u r k e y M e x i c o G r e e c e C z

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Households with access to a home computer

Percentage of all households, 2004 or latest available year

Sources

? ITCS International Trade by Commodity Statistics .

? STAN: OECD Structural Analysis Statistics – online database .

Futher information

Analytical publications

? OECD (2005), OECD Information Technology Outlook , OECD, Paris.

Methodological publications

? OECD (2003), A proposed classi?cation of ICT goods , OECD, Paris, https://www.doczj.com/doc/169250169.html,/dataoecd/5/61/22343094.pdf .

Web sites

? OECD Key ICT indicators, https://www.doczj.com/doc/169250169.html,/sti/ictindicators .

Long-term trends

Growth of exports has been particularly high for the countries that started with a low base in 1996 – Hungary, the Czech Republic and the Slovak

Republic, Poland, T urkey and Iceland. In the United States, Japan, United Kingdom and France, ICT exports were substantial at the beginning of the period and have grown only moderately since then. Germany and especially Korea stand out as countries which started the period with substantial ICT exports and which have seen them grow rapidly between 1996 and 2004.

By the end of the period, the OECD countries

could be divided into three groups – United States, Korea, Japan and Germany with high exports of ICT equipment, a middle group consisting of Ireland, France, Mexico, United Kingdom and the Netherlands and the remainder with relatively low values of ICT exports. As noted above, however, some of these, such as the four Central European countries, are rapidly increasing the value of their ICT exports.

Among the ?ve non-member countries, growth of ICT exports has been slow and steady for all except China which has experienced spectacular growth in exports of ICT equipment. Between 1996 and

2004, the value of ICT exports from China have been growing at an average rate of over 30% per year and in 2004, China’s ICT exports surpassed those of the United States.

EXPORTS OF INFORMATION AND COMMUNICATIONS EQUIPMENT

Exports of communication equipment accounted for much of the growth in trade over the past decade. In all OECD countries, they grew more rapidly than total manufacturing exports. This is especially the case for high-technology exports.

De?nition

The OECD has developed a commodity-based de?nition of the ICT sector based on the CPC (Central Product Classi?cation) and the Harmonised System (HS). The de?nition of ICT goods includes the following broad categories: telecommunications equipment; computer and related equipment; electronic components; audio and video equipment; and other ICT goods.

Comparability

The data for this table are taken from the statistics on international trade. These are compiled according to internationally agreed standards and are generally considered to be of good comparability. Note, however, that the data for Hungary, Mexico, the Netherlands and Spain in the graph refer to 2003 and not 2004.

Exports of ICT equipment

Millions of US dollars

SCIENCE AND TECHNOLOGY ? COMMUNICATIONS

0204060801001201401601802001996

2004

199719981999200020012002

2003

StatLink: https://www.doczj.com/doc/169250169.html,/10.1787/726331185022

SCIENCE AND TECHNOLOGY ? COMMUNICATIONS

EXPORTS OF INFORMATION AND COMMUNICATIONS EQUIPMENT

Exports of ICT equipment

Millions of US dollars

1996

19971998199920002001200220032004

Belgium 84638344937395471145612209105611248713581Canada 1208014913145731573022636

15011120181201614225Czech Republic 8859621513133921283201479059229104Denmark 354838053961401643064138543551365823Finland 593569208656935311630941498221108611506France 258922815632249327683571531534278272819132579Germany 416314370147466507936037359104613657025191308Greece 160219257306480381397456585Hungary 6643298

4763

5943

77767511

893911975

..Iceland 2345129131718Ireland 132711622418638235232635230794271982260923673Italy 130461169711890117811279012829112781254714453Japan 103213104229936121013591235429451895018106655124238Korea 29171

36248

33906

450616152546793550216654586099Luxembourg (111011181517130011031229)

Mexico https://www.doczj.com/doc/169250169.html,herlands 2502227981315913539541218357683158345505..New Zealand 232232299178184168189365464Norway 130114321513150214301526134515221670Poland 6489171296127214241771219026903341Portugal 1369

13831465178118932065201227162899Slovak Republic ..31038640946157362410351811

Spain 49695115579360556137616158977585..Sweden 11164125131322415098166579353102501137514807Switzerland 414139194090433746524298360441324750Turkey 504647104592411151188171421253096United Kingdom 418444334047693492265601953684516574332943678China 18584231942741932663469965530579377123303180422

India

6595453174447148809391262..Russian Federation ..9176097557999809288961137South Africa

..

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521

545

493

615

760

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Exports of ICT equipment

Million US dollars, 2004 or latest available year

Sources

? ITU (2005), World Telecommunications Indicators Database .? OECD (2005), OECD Communications Outlook , OECD, Paris.

Futher information

Analytical publications

? Caspary, G. and D. O?Connor (2003), Providing Low-cost Information Technology Access to Rural Communities in Developing Countries: What Works? What Pays?, OECD

Development Centre Working Papers, No. 229, OECD, Paris.

Web sites

? OECD Telecommunications and Internet Policy, https://www.doczj.com/doc/169250169.html,/sti/telecom .

Long-term trends

Access to communications networks continues to expand in all OECD countries. At the end of 2003, the total number of ?xed and mobile

telecommunications paths had increased to more than 1.4 billion. This represented a 6.7% increase over 2002 and an average increase of more than 12% in each year since 1998.

For the ?rst time, however, growth was not occurring across all access paths. The number of cellular mobile communication subscribers continues to climb. An additional 69 million mobile subscribers were added in 2003. By way of contrast, some segments of the ?xed connection market have

begun to decrease. The number of ?xed access lines decreased in both 2002 and 2003 and will most likely continue to do so over the coming years.

Since 1991, growth in access paths per inhabitant has been particularly high in those countries that started from a low base – Hungary, the Czech Republic and Mexico – and somewhat slower in those where the number of access paths per

inhabitant were already quite high, such as Canada and the United States.

By 2003, all but four OECD countries – Mexico, the Slovak Republic, T urkey and Poland – had more than one telecommunications access path per

inhabitant and eight countries reported more than one and a half per inhabitant – Denmark, Finland, Greece, Iceland, Luxembourg, Norway, Sweden and Switzerland.

Among the ?ve non-OECD countries, growth has been spectacular in China, which had less than one access path per 100 inhabitants in 1991 but more than 40 in 2003. For four of the ?ve non-members, access paths per inhabitant are between 40 and 50, with India as the exception. Although there has been steady growth over the period, there were still only about 6 access paths per 100 inhabitants of India in 2003.

TELEPHONE ACCESS

The number of telephone connections – more precisely the number of ?xed and mobile telecommunications access paths – has increased dramatically in OECD countries. This is associated both with growing use of the Internet and, particularly in recent years, with the growing popularity of cellular mobile telephones.

De?nition

For the OECD member countries, access paths are the total of ?xed lines (standard analogue access lines and ISDN channels) plus the number of mobile telephone

subscribers. For Brazil, China, India, Russian Federation and South Africa, access paths are the sum of main telephone lines in operation, ISDN channels and cellular mobile telephone subscribers.

Comparability

For OECD countries, the data are collected according to agreed de?nitions and are highly comparable. The data shown for the ?ve large non-OECD countries are reported by the International Telecommunications Union (ITU). The de?nition used by the ITU is slightly narrower than that used by the OECD, although data reported for the two sets of countries can be regarded as broadly comparable.

SCIENCE AND TECHNOLOGY ? COMMUNICATIONS

Mobile cellular subscribers

OECD and non-OECD share in the world total, 1996-2003

1996

1997199819992000200120022003

0 10 20 30 40 50 60 70 80 90

100StatLink: https://www.doczj.com/doc/169250169.html,/10.1787/838120828061

SCIENCE AND TECHNOLOGY ? COMMUNICATIONS

TELEPHONE ACCESS

Telephone access

Telecommunication access paths per 100inhabitants

1991

199219931994199519961997199819992000200120022003

Belgium 41.543.144.346.348.852.760.766.882.6107.5125.0128.3132.9Canada 59.260.963.066.068.872.577.783.789.797.8105.0106.7108.2

Czech Republic 16.617.719.121.123.729.336.845.856.481.2108.4124.7135.9Denmark 60.762.266.070.077.888.089.4101.1117.0134.0145.5152.6156.1Finland 60.461.463.768.075.986.0100.6117.0127.6139.8147.6152.9154.2France 52.054.054.256.359.758.464.275.190.4105.2116.7118.7122.8Germany 43.045.949.454.156.061.065.073.687.2119.7131.7136.7144.3Greece ....45.248.451.154.859.270.388.3109.0129.3142.5151.5Hungary 11.012.715.218.824.130.737.744.552.067.385.5103.9114.0Iceland 57.559.561.064.067.275.885.0103.0129.9145.4149.8157.3163.2Ireland 30.632.634.336.840.146.354.969.589.0100.5120.0128.2134.2Italy 41.643.144.546.950.655.365.881.299.1120.2136.8140.9146.3Japan 46.748.049.3....72.482.690.9100.6111.2116.6119.9122.9Korea 34.036.338.841.745.650.860.575.3108.9115.1118.8126.3128.5Luxembourg 49.552.555.358.562.971.478.985.9110.4142.8176.5185.6216.3Mexico 7.48.39.1....10.711.713.919.226.835.643.348.2Netherlands 48.449.851.353.256.061.572.770.8103.8132.9133.9134.9142.9New Zealand 45.847.347.852.656.258.364.878.885.7101.6107.0109.2117.8Norway 56.959.462.768.979.187.9100.2113.7132.7147.9156.9160.1162.3Poland ..10.311.513.115.017.521.527.035.046.358.768.678.5Portugal 27.431.033.836.639.544.454.571.087.5107.4120.1124.3130.4Slovak Republic ....16.818.921.123.729.637.243.256.170.182.695.0Spain 34.435.837.238.640.947.452.660.482.4107.0120.7130.8142.2Sweden 75.776.277.583.991.397.5106.0118.0131.6147.4156.0162.7170.1Switzerland 62.664.165.768.371.971.980.691.6113.3137.0146.3151.5155.5Turkey 14.416.320.622.523.724.127.231.639.349.654.560.966.4United Kingdom 46.647.951.256.061.264.469.079.399.2127.9136.3143.5147.5China 0.7 1.0 1.5 2.4 3.6 5.0 6.78.912.017.824.932.841.3India

0.70.80.9 1.1 1.3 1.6 2.0 2.3 2.8 3.6 4.4 5.2 6.4Russian Federation 15.015.415.916.317.017.719.520.421.924.028.036.250.2South Africa

9.5

9.4

9.6

10.7

11.5

13.0

15.9

20.3

25.4

31.3

36.3

42.0

48.2

50

100

150

200

250

I n d

i a C h i n a M e x i c o S o u t h A f r i c a B r a z i l R u s s i a T u r k e y P o l a n d S l o v a k R e p u b l i c C a n a d a H u n g a r y U n i t e d S t a t e s N e w Z e a l a n d F r a n c e J a p a n K o r e a P o r t u g a l O E C D a v e r a g e B e l g i u m A u s t r a l i a I r e l a n d A u s t r i a C z e c h R e p u b l i c S p a i n N e t h e r l a n d s G e r m a n y I t a l y U n i t e

d K i n g d o m G r

e e c e F i n l a n d S w i t z e r l a n d D e n m a r k N o r w a y I c e l a n d S w e d e n L u x e m b o u r g

StatLink: https://www.doczj.com/doc/169250169.html,/10.1787/558502843155

StatLink: https://www.doczj.com/doc/169250169.html,/10.1787/565171165723

Telephone access

Number of telecommunication access paths per 100 inhabitants, 2003

中国在亚太经合组织中的作用与影响

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世界发达国家衡量标准联合国开发计划署 以前人们界定一个国家是否属于发达国家,都是用人均GDP来界定,但单独用人均GDP 显然存在很多缺点,首先是人均GDP很不稳定,受汇率、物价等影响而波动很大,其次人均GDP也只代表了经济水平,而不能代表一个国家的全面发展水平。对此,联合国的开发计划署编制了“人类发展指数”,用以取代单一的人均GDP衡量体系,以此来界定一个国家是否属于发达国家,就相对全面客观了。目前的具体标准是:人类发展指数不低于0.9即为发达国家。 最新世界分组 联合国开发计划署(UNDP)2010年11月4日发布的《2010年人文发展报告》对世界各国的分组进行了重新的修正,修正后,发达国家或地区的数量由2009年的38个,上升的2010年的44个,增加了6个 2010年发达国家数量 经济合作与发展组织中的发达经济体(28个国家) 澳大利亚、奥地利、比利时、加拿大、捷克、丹麦、芬兰、法国、德国、希腊、匈牙利、冰岛、爱尔兰、意大利、日本、韩国、卢森堡、荷兰、新西兰、挪威、波兰、葡萄牙、斯洛伐克、西班牙、瑞典、瑞士、美国、英国非经济合作与发展组织中的发达经济体(16个国家或地区) 安道尔、巴林、巴巴多斯、文莱、塞浦路斯、爱沙尼亚、中国香港、以色列、列支敦士登、马耳他、摩纳哥、卡塔尔、圣马力诺、新加坡、斯洛文尼亚、阿联酋 2010年发展中国家 阿拉伯国家(16个国家或地区) 阿尔及利亚、吉布提、埃及、伊拉克、约旦、科威特、黎巴嫩、摩洛哥、巴勒斯坦被占领土、阿曼、沙特阿拉伯、索马里、苏丹、叙利亚、突尼斯、也门东亚及太平洋地区(24个国家) 柬埔寨、中国、斐济、印度尼西亚、基里巴斯、朝鲜、老挝、马来西亚、马绍尔群岛、密克罗尼西亚、蒙古、缅甸、瑙鲁、帕劳、巴布亚新几内亚、菲律宾、萨摩亚、所罗门群岛、泰国、东帝汶、汤加、图瓦卢、瓦努阿图、越南欧洲及独联体地区(23个国家) 阿尔巴尼亚、亚美尼亚、阿塞拜疆、白俄罗斯、波黑、保加利亚、克罗地亚、格鲁吉亚、哈萨克斯坦(中等发达国家)、吉尔吉斯斯坦、拉脱维亚、立陶宛、摩尔多瓦、黑山、罗马尼亚、俄罗斯、塞尔维亚、塔吉克斯坦、马其顿、土耳其(中等发达国家)、土库曼斯坦、乌克兰、乌兹别克斯坦拉丁美洲及加勒比海地区(32个国家或地区) 安提瓜和巴布达、阿根廷、巴哈马、伯利兹、玻利维亚、巴西、智利、哥伦比亚、哥斯达黎加、古巴、多米尼克、多米尼加、厄瓜多尔、萨尔瓦多、格林纳达、危地、马拉圭亚那、海地、洪都拉斯、牙买加、墨西哥、尼加拉瓜、巴拿马、巴拉圭、秘鲁、圣基茨和尼维斯、圣卢西亚、圣文森特和格林纳丁斯、苏里南、特立尼达和多巴哥、乌拉圭、委内瑞拉南亚地区(8个国家或地区) 阿富汗、孟加拉国、不丹、印度、马尔代夫、尼泊尔、巴基斯坦、斯里兰卡撒哈拉以南非洲(45个国家或地区) 安哥拉、贝宁、博茨瓦纳、布基纳法索、布隆迪、喀麦隆、佛得角、中非、乍得、科摩罗、刚果(布)、刚果(金)、科特迪瓦、赤道几内亚、厄立特里亚、埃塞俄比亚、加蓬、冈比亚、加纳、几内亚、几内亚比绍、肯尼亚、莱索托、利比亚里、马达加斯加、马拉维、马里、毛里塔尼亚、毛里求斯、莫桑比克、纳米比亚、尼日尔、尼日利亚、卢旺达、圣多美和普林西比、塞

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OECD Science, Technology and Industry Scoreboard https://www.doczj.com/doc/169250169.html,/sti/scoreboard KEY FINDINGS: USA Between 2008-2010, the OECD as a whole suffered over 13 million job losses – about half of which occurred in the United States. The US faces extraordinary challenges – with national debt levels rising and unemployment high. Innovation is critical for equipping countries to respond to the pace and scale of globalisation and find new and sustainable sources of growth and competitiveness. STI Scoreboard data shows that US government and business investment in knowledge, research and innovation provides strong fundamentals for the future. But with the rise of the BRICS countries, there are a number of innovation policy areas that should be closely reviewed –public and private financing, direct (or indirect) support for business, ensuring continued technological advantage and the competition in the global jobs market for highly skilled science graduates. Where people lost their jobs, selected countries, 2008-09 Relative contribution to change in total employment by major sectors of economic activity and national statistical institutes, June 2011. Statlink: https://www.doczj.com/doc/169250169.html,/10.1787/888932484797 Continued strong investment – public and private sector The US has an unmatched national science and innovation system in terms of investment, size and reach. With nearly USD 400bn expenditure in 2009, the United States is the largest performer of research and development (R&D) in the world. Although China has recently become the second largest (USD 154 billion at purchasing power parity - PPP), the share of GDP that the United States devotes to R&D (2.7%) remains much higher than in China (1.7%). Personnel costs, which include researcher costs, in most economies account for the largest share R&D expenditures. This explains the close relationship between R&D as a percentage of GDP and number of researchers as a percentage of total employment. 1

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三十个成员国的代表在专业委员会会面,就具体政策领域,如经济、贸易、科学、就业、教育及金融市场,提出建议并审议在这些领域所取得的进展。经合组织共有约二百个委员会、工作组和专家小组。 每年有四千多名来自各成员国政府部门的高级官员参加经合组织委员会会议,对经合组织秘书处开展的工作提出要求,进行审议并发挥作用。即使在自己的国家,他们也可以通过网上途径获得经合组织的文件,并通过特别联网交换信息。 3、理事会 理事会是经合组织的决策机构,由每个成员国及欧洲委员会各派一名代表组成。理事会定期召开成员国驻经合组织大使级会议,并通过综合一致意见的方式进行决策。理事会每年举行一次部长级会议,讨论重要问题,并为经合组织的工作确定重点。理事会指定的工作则由经合组织秘书处的各个司局来完成。 4、秘书处 经合组织秘书处设在巴黎,两千多名工作人员支持着委员会的工作。七百多名经济学家、律师、科学家和其他专业人员从事研究和分析工作。他们主要分布于十二个业务司局。 秘书处的工作是和委员会的工作平行的,每个司局服务于一个或多个委员会,以及委员会属下的工作组和分组。 秘书处由一名秘书长领导,四名副秘书长协助工作。秘书长还是理事会主席,是成员国代表团和秘书处之间的重要联系。 英语和法语是经合组织的两种官方工作语言。经合组织的职员都是成员国公民,但他们在经合组织任职期间以国际行政人员的身份工作,不代表各自国家。经合组织对职员的国别没有配额限制,只本着平等机会的政策,聘用来自各个国家,拥有不同领域经验的高素质人员。 5、资金来源 经合组织是由其三十个成员国资助的。各国向经合组织年度预算捐款的比例根据一个与其经济规模相关的公式而确定。最大捐款国是美国,它提供了经合组织预算的四分之一,其次是日本。经过理事会批准,各国也可以向一些特殊活动或项目提供不包括在主要预算之内的单独资助。 经合组织的年度预算及工作方案都由理事会决定。目前经合组织的年度预算约为三亿欧元。四、功能和运作 经合组织在政策研究和分析的基础上,提供一个思考和讨论问题的场所,以帮助各国政府制定政策,这些政策可能促成成员国政府间的正式协议,也可能在国内或其它国际场合实施。与世界银行或国际货币基金组织不同,经合组织并不发放资金。 与世界银行和国际货币基金组织不同,经合组织并不提供基金援助。它是在政策和分析的基础上,提供一个思考和讨论问题的场所,以帮助各国政府制定政策,这些政策可能导致成员国政府间达成正式协议,或在国内或其他国际场合实施。这一作用对于各成员国非常重要。这个高效机制

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国际经济组织与中国关系

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李景治《当代世界经济与政治》【章节题库】(当代世界经济)

第二章当代世界经济 一、选择题 1.[单选题]确立了美元在战后国际金融领域的中心地位的是()。 A.世界贸易组织协定 B.布雷顿森林协定 C.关税与贸易总协定 D.《国际货币基金协定》 【答案】B 【解析】1944年7月,在美国的新罕布什尔州布雷顿森林召开了有44个国家参加的国际货币金融会议,通过了《联合国货币金融会议最后决议书》及《国际货币基金协定》、《国际复兴开发银行协定》两个附件,总称“布雷顿森林协定”。“布雷顿森林协定”建立的以美元为中心的货币体系,实际上是一种国际基金汇兑本位制。这就意味着美元成了主要的国际储备货币,可以替代黄金作为国际支付手段,确立了美元在战后资本主义世界金融领域的中心地位。 2.[单选题]下列国际组织中,以协助成员国稳定汇率、平衡外汇收支为主要宗旨的是()。 A.世界贸易组织 B.国际清算银行

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中国与亚太经合组织

中国与亚太经合组织 新华网北京11月13日电1989年11月,亚太经济合作组织(简称“亚太经合组织”或APEC)成立。1990年7月,亚太经合组织第二届部长级会议在新加坡通过《联合声明》,欢迎中国、中国台北和香港三方尽早同时加入这一组织。1991年11月,在“一个中国”和“区别主权国家和地区经济体”的原则基础上,中国、中国台北和香港(1997年7月1日起改为“中国香港”)正式加入亚太经合组织。 从中国加入亚太经合组织起,亚太经合组织便成为中国与亚太地区其他经济体开展互利合作、开展多边外交、展示中国国家形象的重要舞台。中国通过参与亚太经合组织合作促进了自身发展,也为本地区乃至世界经济发展作出了重要贡献。 作为亚太大家庭的一员,中国一贯重视并积极参与亚太经合组织各领域合作。中国国家主席出席了历次亚太经合组织领导人非正式会议,提出了许多积极、平衡、合理的政策主张和倡议。2001年10月20日,亚太经合组织第九次领导人非正式会议在中国上海成功举行。会议通过了《亚太经合组织经济领导人宣言》《上海共识》《数字亚太经合组织战略》等重要文件,有力推动了中国与亚太经合组织有关成员双边关系的发展。 亚太地区是中国对外经济贸易的重要依托。中国对外贸易的大约70%、吸引外国直接投资的70%以上来自亚太经合组织成员,中国的发展很大程度上受益于区域经济。中国在亚太经合组织内发挥着极具建设性的作用。中国通过参加亚太经合组织的一系列活动,推动国际秩序朝着更加公正合理的方向发展。 最近两年,为应对国际金融危机,中国政府除及时调整宏观经济政策,果断实施扩大内需、促进经济增长等一揽子计划外,积极与包括亚太经合组织在内的国际社会携手合作。去年在新加坡举行的亚太经合组织第十七次领导人非正式会议上,胡锦涛主席宣布,中国政府将拨款1000万美元设立中国亚太经合组织合作基金,用于鼓励和支持中国相关部门和企业参

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中国—“亚太大家庭”的重要参与者 摘要 APEC是当今世界最大的区域经济合作论坛组织,在世界经济和区域经济的发展中发挥了举足轻重的作用。作为APEC的最大发展中成员,中国本着互利合作的原则,全面参与亚太活动,对亚太地区合作进程发挥了积极作用。当前,双方发展进程中机遇下蕴藏挑战。本文通过分析两者的关系,论述了APEC对中国经济生活带来的影响及相关的对策措施。 关键词:亚太经合组织合作互利共赢区域经济发展

目录 第一章绪论 (3) 1.1 亚太经合组织的形成 (3) 1.1.1亚太经合组织诞生的历史背景 (3) 1.1.2 亚太经合组织的基本状况 (3) 1.1.3亚太经合组织的特点与内容 (4) 1.2 中国与亚太经济合作组织 (4) 1.2.1 中国参与APEC的历史背景 (4) 1.2.2 中国加入APEC的过程 (5) 1.2.3中国与APEC成员的经贸关系简介 (5) 1.3 中国与亚太经合组织关系的讨论意义 (5) 第二章我国积极参与APEC的原因及重大意义 (5) 2.1 我国积极参与APEC的原因分析 (6) 2.2 中国参与APEC进程的意义 (8) 第三章新时期中国与亚太经合组织的发展状况 (5) 3.1 中国参与APEC经济技术合作的进展状况 (9) 3.2 APEC 对中国政治经济生活的影响 (9) 3.3中国在A P E C组织中的地位 (13) 3.4中国的主要主张及贡献 (13) 第四章中国与亚太经合组织发展的建议措施和未来展望 (15) 4.1政策建议和解决措施 (15) 4.2中国与亚太经合组织的发展前景 (17) 第五章结论 (18) 参考文献 (19)

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世界经济合作与发展组织电子商务消费者保护准则

《经济合作与发展组织电子商务消费者保护准则》概述 山西恒驰律师事务所迟菲 经济合作发展组织关于《经济合作与发展组织电子商务消费者保护准则》对电子商务领域消费者保护提出了保护的最基本要素及实现路径,提纲掣领的确定了电子商务中消费者保护的基本原则,对我国的电子商务消费者保护具有现实借鉴意义。本文对准则进行概述,希望能为研究这一领域的同仁提供一些帮助。 一、经合组织及准则出台的背景 (一)经合组织介绍 经济合作与发展组织(Organization for Economic Co-operation and Development),简称经合组织(OECD),是由34个市场经济国家组成的政府间国际经济组织,旨在共同应对全球化带来的经济、社会和政府治理等方面的挑战,并把握全球化带来的机遇。成立于1961年,目前成员国总数35个,总部设在巴黎。 经济合作与发展组织(OECD)的使命是推动改善世界经济与社会民生的政策。 OECD提供了一个平台,政府可以借此平台展开合作,分享经验并寻求共同问题的解决方案。OECD与政府合作,探究经济、社会和环境变化的推动力量。衡量生产力以及全球贸易和投资流。分析并比较数据以预测未来趋势。从农业和税收到化学制品安全性,对范围广泛的事务制定国际标准。与此同时,OECD也关注直接影响普通人生

活的各种问题。并从实际情况和现实经验出发,提出各种旨在改善民生的政策。 我国虽然目前尚未加入该组织,但该组织客观、开放、敢于挑战、不断开拓、恪守道德的核心价值观以及在此基础上做出的各项准则、规则、分析报告等对我国有巨大的现实参考意义。 (二)准则出台的背景 经合组织自上世纪90年代初及开始关注电子商务的发展,在1998年,该组织分析确定了电子商务具备一些特点,这些特点既能给消费者带来一些便利,同时也将消费者置于一个陌生的交易环境,使他们的权益无法得到保护。同时,电子商务促进经济全球化发展以及带给人类生活便利的同时,也存在这欺诈、误导及不公平竞争的问题。而且,现行法律在应对电子商务环境时,存在一些问题,使部分电子商务环境下消费者的保护低于一般的消费者保护。同时,电子商务使得跨境交易蓬勃发展的同时,各国消费者保护的政策、法律差异也给消费者保护带来不利影响。 因此,自1998年4月起,经合组织消费者政策委员会开始着手建立一些准则,希望能在不增加交易障碍的前提下为消费者在参与电子商务过程中提供保护。目的是为组织内及组织外的政府、企业、消费者及消费者代表阐明有效的电子商务消费者保护所需要的核心要素。准则并不直接约束成员国或为成员国设定义务。仅为成员国或非成员国提供一些辅助性的框架原则。准则并不限制各参与方及成员国政府采取更为严格的措施去保护线上消费者的权益。

亚太经济合作组织现状

亚太经济合作组织现状 近年来,在亚洲——太平洋地区,随着各国各地区经济相互依赖程度的不断增强,在冷战后世界经济一体化和区域集团化趋势日益明显的大背景下,亚太经济合作结束了自1964年日本学者小岛清首提亚太经合倡议以来二十多年的徘徊局面,亚太经济合作组织(Asia—Pacific Economic Cooperation,简称APEC)于1989年11月应运而生。几年来,APEC已经发展成为促进亚太地区贸易自由化和经济合作的重要工具。由于亚太地区政治、经济、宗教、文化的复杂性、多样性以及种种历史原因,使APEC呈现出不同于其他区域经济合作组织的特点。作为目前我国参与的唯一一个国际经济合作组织,APEC的特点和现状值得我们关注和研究。 一、APEC的特点 成员国的广泛性 亚太经合组织是当前规模最大的多边区域经济集团化组织,APEC成员国的广泛性是世界上其他经济组织所少有的。APEC的21个成员体,就地理位置来说,遍及北美、南美、东亚和大洋洲;就经济发展水平来说,既有发达的工业国家,又有发展中国家;就社会政治制度而言,既有资本主义国家,又有社会主义国家;就宗教信仰而言,既有基督教国家,又有佛教国家;就文化而言,既有西方文化,又有东方文化。成员的复杂多样性是APEC存在的基础,也是制定一切纲领所要优先考虑的前提。 独特的官方经济性质 APEC是一个区域性的官方经济论坛,在此合作模式下,不存在超越成员体主权的组织机构,成员体自然也无需向有关机构进行主权让渡。 坚持APEC官方论坛的性质,是符合亚太地区经济体社会政治经济体制多样性、文化传统多元性、利益关系复杂性的现实情况的。它的这种比较松散的"软"合作特征,很容易把成员体之间的共同点汇聚在一起,并抛开分歧和矛盾,来培养和创造相互信任及缓解或消除紧张关系,从而达到通过平等互利的经济合作,共同发展、共同繁荣,同时推动世界经济增长,以实现通过发展促和平的愿望。 开放性 APEC是一个开放的区域经济组织。APEC之所以坚持开放性,其中一个重要原因是APEC大多数成员体在经济发展过程中,采取以加工贸易或出口为导向的经济增长方式及发展战略。这样的发展战略所形成的贸易格局使这一地区对区外经济的依赖程度非常大,而采取开放的政策,不仅可以最大限度地发挥区域内贸易长处,同时也可以避免对区域外的歧视政策而缩小区域外的经济利益。除此之外,APEC成员体多样性,及其实行的单边自由化计划也客观要求它奉行"开放的地区主义"。 自愿性由于成员国之间政治经济上的巨大差异,在推动区域经济一体化和投资贸易自由化方面要想取得"协商一致"是非常困难的,APEC成立之初就决定了其决策程序的软约束力,是一种非制度化的安排。不具有硬性条件,只能在自愿经济合作的前提下,以公开对话为基础。各成员国根据各自经济发展水平、市场开放程度与承受能力对具体产业及部门的贸易和投资自由化进程自行作出灵活、有序的安排,并在符合其国内法规的前提下予以实施,这就是所谓的"单边自主行动(IAPs)"计划。 松散性 a.没有组织首脑。b.没有常设机构(各成员国轮流举办。2001年7月在中国上海举行非正式首脑会晤,这是自该组织成立以来首次在中国举办,这对让世

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