This book engages in the debate on growth versus economic transformation and the importance of industrial policy, presenting a comprehensive framework for explaining the politics of industrial policy. Using comparative research to theorize about the politics of industrial policy in countries in the early stages of capitalist transformation that also experience the pressures of elections due to democratization, this book provides four in-depth African country studies that illustrate the challenges to economic transformation and the politics of implementing industrial policies.

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African public sectors went through many changes during the 1960s and 1970s in response to political, economic and social pressures. They expanded in size but remained, at least in design, hierarchical and centralized. Their formal relations to society did not undergo any significant changes either. Generally, the reforms now under way are significantly different from earlier ones. Most are inspired by the new public management (NPM) paradigm. They are also much more radical in their aims, among which are: to reduce the core functions of the state; redraw the boundaries between political and administrative responsibilities; emphasize efficiency; redefine relations between public and private sectors; strengthen accountability; reduce corruption; reorganize organizations and staff; change values and attitudes; and exploit new technologies. This article focuses on a paradox of reform in Tanzania: multiple changes are pursued in the public sector despite fragile domestic political support to the reform package as a whole and despite few service delivery improvements on the ground. It is argued that this is the result of substantial external influences, fragmented domestic policy making, weak links between policy making and implementation, and questionable assumptions about some of the key NPM‐inspired reform measures. Moreover, the analyses highlight a number of differences with some of the recent reform literature. Copyright © 2000 John Wiley & Sons, Ltd.

During the last decades, high-efficiency farming equipment has been developed in the agricultural sector. This has also included efficiency improvement of moving techniques, which include increased working speeds and widths. Therefore, the risk of wild animals being accidentally injured or killed during routine farming operations has increased dramatically over the years. In particular, the nests of ground nesting bird species like grey partridge (Perdix perdix) or pheasant (Phasianus colchicus) are vulnerable to farming operations in their breeding habitat, whereas in mammals, the natural instinct of e.g., leverets of brown hare (Lepus europaeus) and fawns of roe deer (Capreolus capreolus) to lay low and still in the vegetation to avoid predators increase their risk of being killed or injured in farming operations. Various methods and approaches have been used to reduce wildlife mortality resulting from farming operations. However, since wildlife-friendly farming often results in lower efficiency, attempts have been made to develop automatic systems capable of detecting wild animals in the crop. Here we assessed the suitability of thermal imaging in combination with digital image processing to automatically detect a chicken (Gallus domesticus) and a rabbit (Oryctolagus cuniculus) in a grassland habitat. Throughout the different test scenarios, our study animals were detected with a high precision, although the most dense grass cover reduced the detection rate. We conclude that thermal imaging and digital imaging processing may be an important tool for the improvement of wildlife-friendly farming practices in the future.