China - Building a Modern Fiscal System Technical Assistance Project

Overview & Synopsis

Ratings of the Building a Modern Fiscal System Technical Assistance for China were as follows: Outcome was satisfactory; Bank Performance was satisfactory; M&E Quality was substantial. Projects with many small subprojects are more difficult to manage and would benefit from a more streamlined design; future technical assistance should cluster related activities into fewer, larger packages or use framework agreements while preserving demand-driven flexibility to improve efficiency and oversight. Allocating work across many implementing units spreads learning opportunities and exposes more staff to international practices, so similar operations should retain broad participation while strengthening coordination to sustain quality control. Secondment programs require strong matching of host roles and candidate skills; study tours often deliver more focused, timely learning aligned with subproject themes, and South-South exchanges should be leveraged with the Bank’s convening support. Selecting the right consulting agencies is critical for technically complex topics; allowing greater flexibility to engage experts with relevant practical experience and international training can raise output quality and reduce rework. Strong commitment by senior government officials and clear alignment with institutional mandates are essential for success; topics that fall outside an agency’s remit should be avoided or jointly led with the responsible authority. Flexibility to adjust subproject content mid-course is necessary in fast-evolving policy environments, and teams should prepare alternative implementation plans to manage external disruptions. Close communication and collaboration between the project management office and World Bank task team leaders strengthens project management capacity in procurement, budgeting, payments, monitoring, and reporting and should be institutionalized through regular joint reviews. Aligning technical assistance with Advisory Services and Analytics (ASA) enhances quality assurance and enables two-way knowledge exchange; tailoring methodological ambition to institutional capacity—for example, prioritizing practical macro-econometric tools over highly specialized models—supports effective uptake and sustainable application.