A remote technical assistance (TA) mission on external sector statistics (ESS) was conducted for the Central Statistical Office (CSO) of Saint Lucia during March 22–26, 2021. The mission was part of the Caribbean Regional Technical Assistance Centre (CARTAC) work program on External Sector Statistics (ESS).
In response to a request from the authorities and as part of the United Kingdom’s Department for International Development (DFID) Enhanced Data Dissemination Initiative (EDDI) 2 project, a Government Finance Statistics (GFS) mission visited Lusaka, Zambia, during November 19–30, 2018. This was the third mission to Zambia under the DFID EDDI2 project, following the March 2016 and November 2017 missions. The mission worked essentially with staff at the Zambia Central Statistical Office (CSO) Public Finance Unit (PFU), but also had meetings with staff from the Ministry of Finance’s Accountant General, Budget, Investment and Debt Management, and Economic Management departments.
This Technical Assistance Report paper highlights that the work on verifying reasonable size of coverage adjustments for Myanmar’s imports was addressed during the mission, using bilateral trade data from Thailand and China. The mission illustrated how granular data can be used to help determine proper adjustments to improve the coverage of the International merchandise trade statistics, using Thailand’s data on exports to Myanmar cross-classified by border checkpoint and 2-digit HS code. The data indicated potential under-coverage of Myanmar imports for a few checkpoints sharing land border with Thailand. Although the actual travel expenditure per person per day for certain years is likely to be lower than the time series published by the Ministry of Hotels and Tourism given continuous depreciation of Kyat over the past five years, this factor should unlikely outweigh the effect of growing numbers of inbound tourists. Balance-of-payments compilation file used by the Central Bank of Myanmar Balance of Payments Section has now been modified to accommodate suggested coverage adjustments for imports, and the new estimation model for freight and insurance on imports proposed during March 2019 mission.
Using business registry data from China, we show that internal capital markets in business groups can propagate corporate shareholders’ credit supply shocks to their subsidiaries. An average of 16.7% local bank credit growth where corporate shareholders are located would increase subsidiaries investment by 1% of their tangible fixed asset value, which accounts for 71% (7%) of the median (average) investment rate among these firms. We argue that equity exchanges is one channel through which corporate shareholders transmit bank credit supply shocks to the subsidiaries and provide empirical evidence to support the channel.
This Technical Assistance (TA) report focuses on four key work areas which may lead to improvement of Government Finance Statistics (GFS) for fiscal analysis, support policy making decisions in Zambia, and improve African Department surveillance. The mission found out that the Coordinating Committee, recommended in the previous TA mission, was not yet established. The mission reviewed progress on the legal and institutional arrangements supporting the compilation of GFS as a follow up from recommendations of the previous GFS TA mission and found that the legislation reforms were on track, especially regarding the Public Finance Act. The report also found that Central Statistical Office (CSO) is working on the revision of the Statistics Act to follow the new strategy for National Development of Statistics. For sustainability and consistency purposes, the mission recommended that the CSO staff produce a GFS manual for compilation and dissemination of GFS data.
A technical assistance (TA) mission was undertaken by the Real Sector Statistics Advisor in the Caribbean Regional Technical Assistance Centre (CARTAC) to St. Lucia during September 17–28, 2018, to provide advice to the Central Statistics Office (CSO) on compiling supply and use tables (SUT) for 2016. The 2006 base year for the GDP estimates is outdated and does not reflect the current structure of the economy. In addition, there is scope to improve the input data and methodology used in producing the GDP estimates and to implement the relevant System of National Accounts 2008 (2008 SNA) recommendations.