Development of ICT Statistics in Korea
Bongho Choi* and Chanil Seo**
< Abstract >
Information society measurements are explosively gaining attention as the development of ICT and a rapid spread of Internet are altering social and economic activities of business, households and goverments. Compiling ICT statistics has been an urgent matter for many economies, and Korea is no exception in that respect. Firstly, this paper provides the measurement frameworks developed by OECD and Eurostat and then presents the initiatives which have been launched in Korea to measure the size, growth and nature of the information society. On the basis of the initiatives and the frameworks, this paper shows the trend analysis on the ICT industries as well as ICT usage and penetration in business and household sectors. This paper also deals with the classification issue on ICT sector, which is closely relevant with ICT statistics. As the United Nations is in the process of revising its International Standard Industrial Classification (ISIC) Revision 3 and plans to prepare ISIC Revision 4 by 2007, Korea needs to keep an eye on this change and to reflect the change into the Korean Standard Industrial Classification.
Key words : measurement framework, ICT usage, e-commerce, classification
* Bongho Choi, Regional Statistics & Sampling Division, Korea National Statistical Office ** Chanil Seo, Short‐term Services Statistics Division, Korea National Statistical Office
- 1 - Ⅰ. Introduction
Information society, digital economy, knowledge‐based economy, new economy, or E-commerce: names for new phenomena have not been very well defined yet and are used interchangeably1). It is difficult in that respect to reach an agreement on new concept (the terminology). However, more or less irrespective of how one define them, information‐ and communication‐technology (ICT) has something to do with them, by taking advantage of the digitalization of the economy.
In the 1990s, as ICT started to penetrate every facet of economic and social interaction, the need for measurement that would satisfy the growing thirst for understanding of the underlying transformation became very clear. In a number of developed countries, it was articulated by a vocal demand, both from policy makers and from business. Korea is no exception in that respect. Therefore, a number of initiatives have launched in Korea to measure the size, growth and nature of the information society.
In addition, the 8th revision of the Standard Industrial
1) Distinction between each concept is as follows: e-Commerce is a subset of
e-Service carried out by e-Business in the e-economy (Statistics Canada, A Reality Check to Defining e-Commerce, 1999).
- 2 - Classification (KSIC) was published in 2000 in accordance with the recommendation of OECD to reflect the change of economy and society including the development of ICT. In 2002, special purpose Classification for Internet Industry was also devised in this context.
The emphasis in this paper is given to the present situation of Korean official ICT statistics covering ICT industry analysis, ICT usage and penetration in business and household sectors, and electronic commerce. It should be noted that this paper primarily deals with so-called official or semi-official statistics. Other data collection or studies are generally outside the scope.
Revision of statistical standards such as industrial classification, products classifications corresponding to the development of ICT and socio-economic change is also necessary to analyse the information society. In this context the ICT sector classification issues is dealt with in detail.
Ⅱ. A Measurement Framework
As the rapid development of ICT and wide expansion of the Internet are revolutionary altering economic activities, surrounding social environment and the daily life of individuals, there have been a lot of efforts to develop a measurement
- 3 - framework internationally. Among those, OECD has taken many initiatives concerning the definition and methodology since 1997 and the works of OECD are now playing as an actual international standard. For a better understanding of ICT indicators, a brief description for the framework will be described.
To start measuring the information society, a taxonomy is needed, devising indicators that will track the progress of ICT in a staggered process: There has been first by measuring e-readiness, then the intensity of ICT usage and, finally, the impact and outcome of ICT on business organizations, individuals and the economy as a whole.
The readiness indicators indicate the potential for use of ICT and describe variables such as ICT structure, access to and availability of Internet, e-mail, PCs and IT skills.
The intensity indicators indicate the actual use and applications of ICT and describe variables such as ICT investments, the extent of use of Internet, e-mail, PCs, e-commerce, for what purpose they are used by different user groups – people and households, businesses and government2).
2) Olof Gardin, The New Economy – New Challenges for the Statistical System, Paper presented at the IAOS Conference, 2002.
- 4 - These two kinds of indicators represent the basic indicators for the information society and provide the main basis for analysis of the digital divide. They relate mainly to the infrastructure and the transfer of possibilities and participation of the people.
The impact indicators relate mainly to the micro level, enterprises and governments, but also to the industry level. They describe new ways of organizing work, referring to the relations among individuals as well as between individuals and the enterprise; of organizing production, which refers to inter-enterprise relations such as outsourcing, joint ventures, licensing, etc.; knowledge supply/human investment/human resources; mobility; innovation/R&D and spin-offs.
The outcome indicators relate mainly to the macro or societal level. They describe economic growth, productivity and competitiveness; employment and the labor market; social inclusion and participation.
The relationship is shown in the S-shaped path diagram presented in Figure 1. The policy needs and the indicators will vary depending on the degree of e-commerce activity that is occurring. Initially there will be a demand for indicators about how ready an economy is for participating in e-commerce; subsequently there will be a set of indicators required to measure the intensity of the use of e-commerce; at later stages of development of e-commerce there will be a need for
- 5 - indicators about the impact of e-commerce on the economy and society generally3).
However, there is a degree of overlap between the various components. In addition some of the indicators that might be developed can serve as indicators for more than one of the levels of e-commerce activity. Thus, a very useful representation of needs for e-commerce metrics as related to the three areas of the S-shaped path for the diffusion of new technologies was developed.
3) Bill Pattinson (OECD), E-Commerce–Toward an International Definition and International Comparable Statistical Indictors.
- 6 - Meanwhile EUROSTAT devised a conceptual model ‘SEAMATE’ (Socio‐Economic Analysis and Macro‐modeling of Adapting to Information Technology) to make estimates of the socio-economic impact of ICT. As mentioned in the OECD framework the focus of ICT indicator definition has evolved over times, from readiness, to intensity, to impact, and finally to outcome.
The EUROSTAT extended this approach to include a dynamic system view, that puts the decision makers at the core of the model. Based on this system view, EUROSTAT adopted an inductive, hypotheses-driven approach for the identification of relevant indicators.
Figure 2. Dynamic Model of SEAMATE
POLICY OBJECTIVES OPPORTUNITY (digital inclusion,modern (stimuli,obstacles,costs, e-activities Growth, prices,risks,security,etc.) STEERING work places,etc.)
MONITORING
POLICY USER`S DECISIONS IMPACTS & OUTCOME DECISIONS/ PREPAREDNESS (INDIVIDUALS & (growth, ACTIONS SOCIETAL to adopt ICT(knowledge, FIRMS) productivity, flexibility,management, to promote ICT VALUES & POLITICAL to adopt ICT jobs,mobility, (research, resources,culture,demo-, ATTITUDE (degree,intensity, benefits,digital regulations, geo-socio-graphic, investment,time, divide,etc.) social capital,etc. infrastructure, penetration, etc.). money,education, etc.)
MONITORING MONITORING
AVAILABILITY of ICT(broadband,digi-TV, internet software,etc. STEERING
Source : Switzerland(2003), Indicators for the Information Society
- 7 - SEAMATE aimed to identify the relevant social, business, and macroeconomic performance indicators and suggested new statistical classifications and data which should be collected to track the ICT changes and their impacts in the future.
Efforts to define statistical indicators are traditionally based on a deductive reasoning approach, where a group of experts identifies the statistical measures of interest. The complexity of the ICT system, however, calls for a hypothesis-driven inductive reasoning approach to indicator definition. This approach must root in a model of the ICT system from which hypotheses can be derived. Indicators are then sought which can provide answers as to whether to accept or to reject the identified hypotheses. The benefits of this systems approach are that the focus is on providing answers to questions posed by policy and business decision makers. For this purpose we developed a conceptual model of the ICT system which depicts the causal relationships and mechanisms to monitor and control the ICT system.
Ⅲ. Indicators for the Information Society in Korea
As Korea adopts a decentralized statistical system, each government or non‐governmental agency has the responsibility to compile various statistics of its own field. National Statistical Office(NSO), Ministry of Information and Commu-
- 8 - -nication (MIC) and Ministry of Commerce, Industry & Energy (MOCIE) are the three main agencies collecting ICT statistics in Korea.
Generally four options are employed to collect the ICT statistics as follows; ⅰ) utilizing administrative data ⅱ) adding ICT related items to existing surveys or censuses ⅲ) compiling ICT statistics from various incumbent surveys ⅳ) develop ICT dedicated surveys