This study investigates the governance of forest ecosystems in Tanzania and its implications across scales and levels. It underscores the critical need for policy and regulatory frameworks to promote sustainable management that benefits all segments of society.

This study explores policy options for Tanzania to effectively leverage its strategic minerals potential to benefit more from the current boom in these commodities. It identifies six key strategic minerals and examines their value chains from exploration to processing and manufacturing.

This study assesses the extent to which promotion of FDI has facilitated access (including adaptation) to technology, innovation and skills in the local manufacturing sector in Tanzania.

This study aims to provide insights into unlocking the potential for carbon trade in Tanzania by identifying the opportunities and challenges in developing the sector.

Based on a case study of an anonymous mining company in Tanzania, this study assesses the implementation of the local content (LC) regulations and guidelines in the country. The analysis focused on the key LC aspects of the direct workforce, procurement of goods and services, and and technological transfer.

This study investigates the relationship between public debt and investment in Tanzania. The empirical analysis is conducted using the autoregressive distributed lag estimation approach – based on data from the period 1976 to 2020.

This paper reviews the concept of blue economy, how it relates to Zanzibar and how to take advantage of the development opportunities it provides. It identifies the strengths of the blue economy and the opportunities available, and how these may be utilised to address development challenges and maximise societal benefits.

This paper examines the extent to which strategic environmental assessment (SEA) is implemented in Tanzania and whether its implementation is in line with generally practised procedures/criteria.

This study uses the latest Tanzania labour force survey (the Integrated Labour Force Survey) and a censored bivariate probit model to analyse gender differences in labour force participation and gender bias in formal wage employment in urban Tanzania.