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Committee on Statistics, 11th Session
Bangkok, 24-26 November 1998

E/ESCAP/STAT.11/11
30 October 1998
ORIGINAL:  ENGLISH

ECONOMIC AND SOCIAL COMMISSION FOR ASIA AND THE PACIFIC

Committee on Statistics
Eleventh session
24-26 November 1998
Bangkok

Statistical development challenges at the turn of the century: effects of the financial crisis on statistical services*
(Item 9 of the provisional agenda)

SUMMARY

This paper describes the effects on statistical services of the current financial crisis in several countries of the region, and the consequent challenges in terms of both the supply of and the demand for statistics.  It discusses a number of ways in which national statistical offices can meet new demands for data with fewer resources.  The paper argues that, in an environment very supportive of the development of statistics, the crisis may provide statistical services with an opportunity to increase their role and credibility.

Contents
  1. Introduction
  2. Statistical Services in Countries Affected by Crisis
    1. Statistics and the Crisis
    2. The Supply Side of Statistical Information
    3. The Demand Side
    4. How to meet Demand with Less Resources ?
  3. The Coming Challenges In Statistical Services
  4. Closing Remark
Reference

I. Introduction

The East Asian countries during the last three decades have enjoyed uninterrupted rapid growth. Similarly the newly emerging market economies of China and Vietnam have experienced high economic growth during the current decade.

Suddenly in the middle of 1997 Thailand started to suffer a currency and financial crisis which quickly spread to other neighbouring countries like Indonesia, Malaysia, Philippine and then Republic of Korea. Recently even Japan, China (and Hong Kong), Singapore, and other countries in the region also decelerated sharply and are almost at the brink of recession.

Even though originally the crisis was only in the monetary sector, significant contraction in the real sectors followed. The decline in production of goods and services has brought about reductions in income, while prices have gone up as a result of the fall in currency values. All these phenomena have seriously affected the welfare of low income families and consequently the incidence of poverty is increasing.

The challenges to the statistical services as an impact of the financial crisis is introduced in this paper. The effect of the crisis on the supply of statistical services is described. On the other hand, to implement rescue programmes, the government and other concerned bodies require more detailed and highly specialized statistical data to enable the programmes to focus on the appropriate target groups. Although statistical budgets are declining due to the crisis, the demand for statistical information is getting higher. In other words, National Statistical Offices (NSO) should produce more with fewer resources. This issue was discussed in ADB, Manila from 1-2 October, 1998 among the Heads of Statistics Offices of Asian Countries in Crisis. The second issue to be discussed in this paper is the statistical challenges at the turn of the century. On one hand we hear that statistical information is very important, however on the other statistical offices feel that they don't get sufficient attention to enable them to produce better statistics. Statistical offices complain that they don't have enough resources in terms of qualified staff, budget allocation and equipment as well as other supporting infrastructure. On top of that the society, both as respondents and users of statistical information, to a certain extent are also not quite supportive of NSO activities, in some countries they even tend to undermine the role of the statistical offices.

This is a perfect time to make a more comprehensive attempt to increase the role of the statistical offices to produce more accurate and timely data and to convince data users that the statistical information available is really credible.

II. Statistical Services in Countries affected by Crisis

1. Statistics and the Crisis

Some people say that had the statistics been adequate, the crisis could have been predicted or even avoided; the data gaps and lack of transparency, timeliness and relevance in the output of the statistical system have contributed to the crisis.

This may be true to a certain extent, but it is unfair to generalize. If the source of the crisis has something to do with the statistical system, it does not mean that if the statistical system were really sound, crises will never affect the economy. There were cases where even the industrialized countries also suffered from a serious economic recession (e.g. during oil crisis).

Especially in developing countries the availability of statistical information does not guarantee that the data will be utilized for policy decisions. Even to solve economic problems, sometimes political considerations dominate the decision rather than sound economic indicators. In any case the use of the available statistical information by policy makers in the decision making process is one important consideration to judge the contribution of the output of statistical system to the crisis.

For policy decisions and to evaluate the performance of economic and social development, the macro economic and social indicators should be derived from the results of regular surveys. The role of current surveys is very important to establish a long time series of data on the economic and social condition of the people. This regular compilation of statistical data through surveys or administrative records should be regarded as the priority activities of the statistical programme in any country. In all countries affected by economic crisis, the statistical systems are relatively well established. All of them regularly publish a series of economic and social indicators on a timely basis. Most of the series however, pertain to the real sector. The monetary sector, especially on banking, usually is not compiled and presented directly by the statistical office but by the Central Banks of the respective countries. The statistical offices usually obtain the banking statistics as secondary data from the monetary authority.

Even for statistics in the real sector, there are cases where a number of government agencies are involved in the compilation of the data. This is especially true in countries where the statistical system is very decentralized. The economic crisis should be regarded as the right moment for all countries to review the coordinating mechanism in the statistical system, so that gaps and duplication of the availability of statistical information can be avoided.

As a consequence of the economic crisis and subsequent budget cuts, statistical offices should re-consider their statistical programmes. The priorities should be focused on the statistical activities which could facilitate the monitoring of the economic and social development before and after the crisis, to enable the government and the private sector to identify the sources and the direction of the crisis. Other priority activities are statistical data collection to help overcome the crisis in the short and medium term, with ad-hoc and quick surveys with limited samples to back up rescue programmes, to solve and avoid food shortages, school drop-out, deteriorated health conditions, lay-offs and the explosion of the incidence of poverty.

2. The Supply Side of Statistical Information

As stated above, undoubtedly, the financial/economic crisis has brought about a decline in governments' ability to finance all sectors of development, including statistical activities. Logically, in a crisis country like Indonesia, new priorities should be set and understandably as has always been the case in the past, funds for research and statistical undertakings are also cut. For Indonesia, the budget cut was about 21 percent for the fiscal year 1998/1999, while for the fiscal year 1997/1998 the budget cut was negligible. The main activity that will suffer most from this drop in the allocated budget is the preparation of the population census in the year 2000 (Suwito, 1998). In the Philippines, the government in December 1997, has issued an order to impose a 25 percent reduction of total expenditures for non-personal services items for the year 1998. This has led to readjustment of the regularly conducted surveys of NSO, for example, by limiting or reducing the sample coverage and reducing frequency of data collection (Africa, 1998).

In addition, since the onset of the crisis the statistical environment has changed. Companies, for instance, are now facing difficulties with many problems and tend to be more reluctant to answer statistical inquires. In Korea, for instance, the introduction of evaluation criteria at current market value for banks securities holding, failure of many ailing firms, as well as frequent changes in enterprises accounting systems have created more difficulty in collecting the data (Chung, 1998).

Thus, there are at least two aspects of the supply side that could lead to a reduction in the capacity of NSOs to provide timely and reliable/accurate statistical information to the government and the public. The first relates to internal factor of the NSOs, while the other is related to the external factor.

3. The Demand Side

Unlike the supply side, in the face of financial and economic crisis, the demand for statistics that would help reflect the economic situation of the country has increased significantly. The increasing demand covers four aspects : (i) demand for new types of statistical information, (ii) demand for more timely and more reliable/accurate statistics, (iii) demand for redefinition of some standard definitions and concepts, and (iv) demand for improving information transparency.

Demand for new types of statistical information derives from the initial need for monitoring financial and banking sectors. The demand comes primarily from both the individual country and the international community, in particular donor agencies (such as IMF, World Bank and ADB).

The demand will involve new types of financial/banking and monetary statistics (alien to the "standard practice" of statistical activities), followed by a "new" key set of economic indicators needed for close monitoring of financial and economic crisis, and statistics required for analyzing and mitigating the impact of the crisis, in particular social impact. In addition, as the crisis has been interwoven with political reform, attention from the mass media to the statistical information, which was previously at a low level, has increased substantially and they demand more speedy dissemination. Thus the demand for these statistics includes, not only for more accurate, timely and diversified data, but also for more frequent releases.

The financial and economic crisis leads to the understanding that there are some sectors of economic activities, especially financial markets, which in the past, were not sufficiently well understood and monitored, at least by the national statistical offices. The crisis which triggered a massive pull-out of foreign funds and adversely affected financial markets in the Asian region shifted the focus to the financial system. This led to an increasing and urgent need for financial markets information which are not usually collected by the NSO. As aptly put by Manalac (1998), "one of the lessons learned from the Asian crisis was the necessity for a more comprehensive set of information than what is presently reported and considered as the minimum requirement of policy and planning exercise".

Data on international reserves and (short-term) external debt for instance, have become one of the important new areas of statistics that need to be developed, in terms of the coverage and data details to ensure that a more realistic picture of international capital flows is adequately reflected. National statistical offices, in general, are well familiar with the "real sector", the production side of the economy, but not with the financial/monetary sector which is "traditionally" handled by the Central Bank or Ministry of Finance. However, this economic crisis has provided a signal to the NSOs that they have to play a much greater role in helping produce such financial/monetary statistics if their role in the overall statistical system should be recognized.

The importance to timeliness of the statistical information is another aspect of the challenges faced by the NSO. Thailand, for instance, aims at reducing the time-lag for manufacturing production index from 2 months to 6 weeks (Chalermpong, 1998) and Malaysia has been able to shorten compilation of external trade from 8 weeks to 5 weeks, consumer price index from 3 to 2 weeks and industrial production index from 8 weeks to 6 weeks (Ali, 1998).

The need for redefinition of concepts and compilation procedures is another challenge for statistical development. Manalac (1998), for example, provides an example that in compiling the real estate loan exposures of the banking system, Philippines banks are now required to submit a schedule on their outstanding real estate loans which were previously lumped under financial institutions, real estate and business services loan account. The fourth aspect, a result of the crisis, is the need for transparency. Manalac (1998), for instance, states that in the past public access to some valuable information used by Bangko Central Ng Philippines in carrying out its supervisory and regulatory activities was somehow limited. This is due to the fact that the information was published only annually. For Thailand, prior to the crisis the information on net forward position of the Bank of Thailand (BOT), NPL of financial institutions and external debt roll-over were not publicly released or disclosed (Chalermpong, 1998). After the crisis, this information is now widely available to the public. Even the net forward position of the BOT is released weekly.

4. How can NSOs meet the demand for statistics with fewer resources ?

As the NSOs have to do more with less, it is inevitable that NSOs have to make significant adjustments in their statistical undertakings. This could be achieved through a number of approaches as follows :

Postponing less urgent statistical activities

The NSOs have to set up priorities with regard to the importance and urgency of various statistical information. They have to sort out the surveys to be carried out not only in terms of area coverage, but also in terms of the coverage of the contents, and in terms of new and different concepts and definitions. Accordingly, they have to plan the most appropriate data collection mechanisms which are cost-effective without reducing the data quality but which also meet the new demand for statistics. BPS of Indonesia, for instance, plans to postpone some ad-hoc surveys, in-depth studies, research to improve survey methodology and other small-scale activities in order to continue the conduct of the current and regular surveys which produce long-term social and economic indicators (Suwito, 1998).

The statistical priorities will include new financial, monetary and economic statistics required for monitoring economic progress and assisting policy making decisions. In addition, new surveys on the social impact of the crisis should also be designed to help the government understand and mitigate its social impacts. Indonesia, for instance, has conducted the so-called "Survey of 100 Villages" funded by UNICEF and "The Economic Crisis Impact Survey at Sub-District Level" financed by Ford Foundation (Suwito 1998). Streamlining survey design and other supporting activities

Another adjustment to cope with the budget reduction is to integrate the various sample surveys into one integrated survey. For instance in Indonesia, from the result of the 1996 Economic Census, an attempt is being carried out to integrate the small scale establishment survey covering various sectors of the economy. This reduces the overall cost of the enumeration by consolidating interviewing in selected enumeration areas and by reducing the administrative costs of conducting separate individual surveys.

Use of existing administrative data

There is a great deal of information currently existing in government administrative offices. For example, Indonesia's NSO is researching the use of corporate income tax records to prepare a directory of large companies for possible use as a sampling frame for economic surveys. NSOs should review their programs and determine the extent to which administrative data could support their statistical activities. This is also useful in the current climate where respondents are becoming more and more reluctant to participate in surveys.

Streamlining other supporting activities

The budget cut has also compelled the NSO to integrate training activities and to reduce supervisory activities to reduce cost. Another approach to reduce the current budget is to decentralize data processing to the district offices. In the long run the decentralized processing will reduce the current expenditure for processing, however it will require the purchase of computer equipments for the district offices.

Linking the budget for statistical activities to the rehabilitation package

Another possible avenue is by linking the statistical activities with other activities designed to cope with the financial and economic crisis. Thailand, for example, under the ADB's Social Sector Program Loan in 1998 has conducted a study on the impact of Thailand's economic crisis on the social sector. ADB is also supporting a longer-term project to produce a series of development indicators.

In the Philippines, the NSO with technical assistance from the World Bank is conducting a Survey of Philippine Industry and the Asian Financial Crisis. In addition, the World Bank and UNDP are helping the NSO expand poverty monitoring in the Philippines through an Annual Poverty Indicators Survey.

However, some of these activities are usually designed by the Ministry of Finance and Planning Agency in each individual country. Hence, the NSO should try to maximize its cooperation with these relevant agencies to enable it to play greater role.

Enhancing the cooperation with multi and bilateral donor agencies

The NSOs have to further develop the existing cooperation with the multilateral and bilateral agencies in terms of additional funds and expertise. The time has come for some NSOs to have their voice heard that they have indeed the capability to supply more timely, reliable and accurate statistics/indicators to the international community. However, it should be realized that the need for better statistics would undoubtedly require more resources, in particular financial resources as the countries in crisis cannot sustain some of the important survey undertakings. The NSOs should be more proactive in establishing better links with the multilateral and bilateral donor agencies.

Strengthening cooperation among NSOs of countries in crisis

A great deal of statistical expertise already exists in NSOs. With each NSO having its own comparative advantage in some statistical skills. This expertise can be exploited throughout the region by providing technical assistance services to other NSOs which can be done through exchanges of technical personnel. This requires the willingness of the NSOs to sit together, list their strengths and weaknesses and discuss ways to have staff-exchange programs to strengthen their offices in certain statistical fields. This exchange program could entail minimal cost.

III. The Coming Challenges on Statistical Services

Despite the spreading financial crisis in this region, at the turn of the century all NSOs are facing a challenge to increase their role and abilities to meet greater demands for statistical information. NSOs should not nesessarily wait for others to request data; instead they should be more pro-active to anticipate and to meet the coming and future requirements of data users. To improve their ability to provide quality statistical data, NSOs should not only wait for policy makers and the general data users to increase their support. Instead, efforts should be made to come to a more solid and stronger internal NSO condition by developing greater professionalism, independence, objectivity and transparency.

In many developing countries there is a general impression among policy makers and data users that the outputs of the statistical offices are inferior compared to the statistical data produced by the banking or planning institutions. This does not mean that the outputs of statistical offices are actually inferior in term of quality and timeliness, however there is a perception that the outputs are less appreciated. In many instances NSOs have difficulties getting additional resources, and do not get sufficient attention from the government to obtain better infrastructure. Frequently they are accused of producing inadequate data. Even though this varies among countries, if these conditions prevail it can affect the development of statistical services in general.

On the other hand the environment at the end of this century is actually very supportive to the development of statistics, at least in 2 areas. First is that this era is known as the era of information; the demand for more statistical information is increasing very rapidly. The momentum is very favourable for statistical offices to embark on concrete steps to enhance their service to data users. If NSOs do not take advantage of this favourable environment to improve their products and services, other agencies may attempt to take over NSO responsibilities and authority.

The other favorable condition is the rapid development in information technology. The era of computers and telecommunications has changed the way NSOs work. Things are getting easier and faster because of the assistance of computer technology, not only with technical work but also with the administrative burden. With the support of the Management Information System (MIS) in the area of personnel planning and development, inventory control, finance, audit, budgeting and other related administrative work, the management and administrative burden is greatly reduced.

With the help of computer technology the planning, designing, sampling, field operation, data processing and data dissemination has made significant progress. Sample selection from existing frames can be very efficiently done using desktop computers. Similarly questionnaire design, data validation, data communication via net work, despatching of survey results through e-mail, and data dissemination through the internet are all new aspects of computerization and telecommunication.

Although right now there are favourable conditions for the improvement of statistical work, some of the NSOs are having classic problems of their own. If there is no significant attempt to make statistical improvements, more competitors will spring up, either from other government agencies or from the banking sector as well as from research institutes of the private sector. Then there may be available an overabundance of statistics for the same characteristics, each with separate and different concepts which will create confusion among the users. The confusion will be lower, as soon as there is a data producer to be recognized by majority of users as the most reliable source of statistics. If this reliable data producer happens to not be the NSO, it will be even more difficult for the NSO to act as the coordinator of statistical activities in the country.

In fact, at the turn of the century, there is a great opportunity for NSOs to increase their role and credibility, if they can take advantage of the favorable environment mentioned earlier. The demand for statistical information is exploding and there is also a demand for different types of statistical data. Although other government agencies also produce statistics (usually as part of their administrative activities) the role of NSOs in the coordinating mechanism of statistical activities should be quite dominant and clear. In a centralized statistical system where most of the official statistics come from the NSO, statistical coordination can be more easily enforced.

There are a number of indicators to judge the credibility of the statistical service, some of the weakness are usually pertaining to the availability of a number statistics (statistical estimates) for the same phenomena, people get confused which data to rely on, and at worst they do not trust any statistical information available because the quality of data is regarded as inadequate. This situation could easily develop if there is no clear coordinating machinery, or the coordinating agency not powerful enough statistically and recognized professionally by other statistical agencies.

There are a number of possible alternative approaches to gradually increase the role of NSO and to produce credible statistical information. From a number of experiences the approach may consist of:

Improve the Statistical Act to give clearer mechanism for statistical coordination.

In a centralized system of statistics it is easier to create coordinating machinery. Even in a decentralized system of statistics, statistical coordination should be working well. A coordinating agency is not merely administrative in nature, but it should have professional and technical recognition from the other agencies which it is coordinating. The Statistics Act also should stipulate the distribution of responsibility between the NSO, the other statistical units in the government ministries and the private sector.

Increase the objectivity, independence and transparency of statistics produced.

Even though the NSOs are government agencies, the statistics produced should be independent from government interest, otherwise the users outside the government and the international users will either adjust the data to meet their standard or ignore the data altogether. This will reduce the credibility of the NSO. The most ideal that will increase the credibility of the NSO is that if there is one dependable estimate, for most users, and the statistics should be consistent, objective and free from any influence.

Obtain better recognition from users through the mass-media.

Since it is difficult for the NSO to explain the reliability of statistics to individual users, the best way to increase user understanding is through mass-media. A pre-requisite to get the cooperation of the mass-media is to show them that the statistics produced are compiled professionally using sophisticated statistical techniques, through an objective, independent and transparent approach. They should be able to see for themselves the way data is produced and they should understand the procedure to obtain the data. In other words, NSOs should educate the media about the methods and techniques used to collect and process statistics. Being free and open with the media is very important to obtain their cooperation.

Increase the capability of staff to cope with increasing demand at the turn of the century.

One possible solution to develop qualified personnel is to create in-house statistical training. As an example in Indonesia the Statistical Office (BPS) established the Academy of Statistics in 1958. Recently in 1998 the training institution was enhanced and split into two units, (1), i.e. the Graduate School of Statistics, a formal statistical education with 4 years duration after high school, and (2) the Statistics and Computer Training Center, to give short term training in applied statistics and computer training to catch up with rapid development in information technology.

The output oriented strategy.

The NSO should be pro-active and always ready to help and provide statistical information requested by any Minister. The long-term strategy is actually to make all the Ministers dependent on the statistical services of the NSO. The more active the NSO, the more people will depend on its data and the more credible the NSO becomes. And, of course, the more challenging and difficult the NSO task becomes. Since each country's economic and social structure is different, there may be other and better approaches. Administrative practices and the political situation will also influence the type of approach selected. However, once the credibility of the NSO is recognized, it will be easier to gain access to the decision makers which will lead to a larger share of the government budget and better statistical infrastructure.

IV. Closing remarks

In conclusion, the financial and economic crisis has led to a new era of statistical information. There is a new environment for statistical activities, including more limited funds, possibly more reluctance from respondents (especially business firms) and increased needs from various data users. This creates new challenges for the NSOs. However, these challenges should be perceived not simply as problems but as a stimulus to move ahead and play a greater role in serving the users.

 Even though statistical development in the ESCAP region is relatively quite progressive, the demand for new, improved, and more reliable statistics is increasing very fast as we reach the turn of the century. While coping with the impact of the financial crisis, the NSOs should also make an attempt to breakthrough budgetary, technical, bureaucratic, and political barriers to increase their role and credibility. The NSOs management has to utilize its "ingenuity" to work within the existing system to produce better statistical information for the data users.

Reference

  • Chung, J. H. 1998. The Impact on the Statistical Services of the Financial Crisis in Korea. Meeting of Head of Statistics Offices in Asian Economies in financial Crisis, ADB, Manila.
  • Africa, T.P. 1998. The Impact of Financial Crisis on the Philippines National Statistics Office. Meeting of Head of Statistics offices in Asian Economies in Financial Crisis, ADB, Manila.
  • Ali, Akbar, 1998. Malaysia : Crisis Country Report. Meeting of Head of Statistics Offices in Asian Economies in Financial Crisis ADB, Manila.
  • Chalermpong, P. 1998. Thailand's Key Economic Data Released by the Bank of Thailand. Meeting of Head of Statistics Offices in Asian Economies in Financial Crisis ADB, Manila.
  • Manalac, W. 1998. Bangko Central ng Philippines : Statistical Management Amidst the Asian Financial Crisis. Meeting of Head of Statistics Offices in Asian Economies in Financial Crisis ADB, Manila.
  • Suwito, S. 1998. The Impact of Financial Crisis on Statistical Services. Meeting of Head of Statistics Offices in Asian Economies in Financial Crisis, ADB, Manila.
  • Suwito, S. 1998. The Development of Statistical Services in Indonesia. ESCAP Committee on Statistics, eleventh session, Bangkok, Thailand.


*This paper was prepared by Sugito Suwito, the Central Bureau of Statistics, Indonesia, at the invitation of the secretariat.  It has been issued as submitted except that typographical errors have been corrected.  Names of countries may have been changed to conform with United Nations usage.



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