In response to a request from the authorities and as part of the Data for Decisions (D4D)1 funded project under the submodule for Fiscal and Debt reporting, a government finance statistics (GFS) technical assistance (TA) mission was held remotely with the Lesotho Ministry of Finance (MOF) during April 5–16, 2021. Previous TA missions under the Enhanced Data Dissemination Initiative (EDDI2) over the period spanning from 2016 to 2020 assisted the MOF to improve GFS compilation and dissemination for the budgetary central government (BCG) and inspired action to broaden data coverage to include local governments and extrabudgetary units (EBUs) with the aim to compile and disseminate consolidated general government GFS. Preliminary local government GFS have now been compiled, and data collected for selected state-owned enterprises (SOEs) and parastatals, including non-market SOEs that can now contribute to preliminary general government GFS to be compiled.
The three main financial inflows to developing countries have largely increased during the last two decades, despite the large debate in the literature regarding their effects on economic growth which is not yet clear-cut. An emerging literature investigates the dependence of their effects on some country characteristics such as human and physical capital constraint, macroeconomic policy and institutional capacity. This paper extends the literature by arguing that climate shocks may undermine the effect of Foreign Direct Investment (FDI), official development assistance (ODA) and migrants’ remittances on economic expansion. Based on neoclassical growth framework, the theoretical model indicates that FDI, ODA, and remittances improve economic growth, and the size of the effect increases with good absorptive capacity. However, climate shocks reduce this positive effect of financial flows in developing countries. Using a sample of low and middle-income countries from 1995 to 2018, the empirical investigation confirms the theoretical conclusions. Developing countries should build strong resilience to climate change. Actions are also needed at global level to reduce greenhouse gases emissions, and build strong structural resilience to climate shocks especially in developing countries.
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 Maseru, Lesotho, during January 20–31, 2020. The mission was the last, in a series of five consecutive technical assistance (TA) missions to Lesotho, as part of the EDDI 2 project. The objective of the five-year project, that started in 2015 was to foster compilation and dissemination of GFS and public sector debt statistics (PSDS) consistent with international methodological standards. The work program under the project identified the enhancement of classification of transactions in fiscal accounts and the expansion of the institutional coverage of data to include all significant general government units as key milestones to achieve by the end of the project.
This paper on government finance statistics (GFS) mission in Lesotho presents a review of progress against recommendations of previous GFS technical assistance (TA) missions and further assist with improving the quality of GFS currently compiled and disseminated. The mission reviewed progress with implementation of previous GFS TA recommendations and updated the public sector institutional table. The mission reviewed the new compilation methods and noted some improvements with the approach. Accounts payable are now recorded under financing, to bridge the timing difference of commitment basis expenditure. The report explains that the legal and institutional environment is conducive to compiling macroeconomic and financial statistics; the relevance and practical utility of existing macroeconomic and financial statistics are monitored; management processes are in place to monitor the quality of macroeconomic and financial statistics; and institutional integrity, transparency, and ethical practices meet statistical standards. There is still a need to correct recording to distinguish expense from acquisition of financial assets.
Hector Perez-Saiz, Mr. Jemma Dridi, Tunc Gursoy, and Mounir Bari
We propose a simple macroeconomic model with input-output sectoral linkages based on Acemoglu et al. (2016) to quantify how changes in aggregate demand due to additional income from household’s remittances propagates through the network of input-output linkages in Sub-Saharan African countries. We first propose two network centrality measures to assess the role of some sectors as key input providers in the economy. Then, we use these measures to quantify the effect of sectoral linkages on sectoral and total output following an increase in remittances inflows. Our empirical results suggest that the effects of remittances on recipient economies increase with the degree of linkages across sectors, which is especially prominent in the case of the financial intermediation sector. Our paper contributes to the emerging macroeconomic literature on the propagation of shocks across sectors and the implications for the whole economy.