Reshaping Rural Extension: Learning for Sustainability (LforS): An Integrative and Learning-Based Advisory Approach for Rural Extension with Small-Scale Farmers

This publication offers concrete suggestions for implementing an integrative and learning-oriented approach to agricultural extension with the goal of fostering sustainable development. It targets governmental and non-governmental organisations, development agencies, and extension staff working in the field of rural development. The book looks into the conditions and trends that influence extension today, and outlines new challenges and necessary adaptations. It offers a basic reflection on the goals, the criteria for success and the form of a state-of-the-art approach to extension. The core of the book consists of a presentation of Learning for Sustainability (LforS), an example of an integrative, learning-oriented approach that is based on three crucial elements: stakeholder dialogue, knowledge management, and organizational development. Awareness raising and capacity building, social mobilization, and monitoring & evaluation are additional building blocks. The structure and organisation of the LforS approach as well as a selection of appropriate methods and tools are presented. The authors also address key aspects of developing and managing a learning-oriented extension approach. The book illustrates how LforS can be implemented by presenting two case studies, one from Madagascar and one from Mongolia. It addresses conceptual questions and at the same time it is practice-oriented. In contrast to other extension approaches, LforS does not limit its focus to production-related aspects and the development of value chains: it also addresses livelihood issues in a broad sense. With its focus on learning processes LforS seeks to create a better understanding of the links between different spheres and different levels of decision-making; it also seeks to foster integration of the different actors’ perspectives.

Drivers of RFID adoption in the automotive industry

The automotive industry is confronted with increasing competition, leading to higher cost pressures and the demand to optimize production processes and value chains. Here the RFID technology promises to improve a range of processes in logistics and manufacturing. Despite its promising potential in the automotive industry, RFID has not yet made a decisive step from pilots to real-life implementations in the supply chain. Building on existing models of technology adoption, we analyze RFID adoption dynamics in the automotive industry. Building on existing IOS adoption models tailored to RFID specifics and based on ten semi-structured interviews with OEMs and suppliers, we evaluate main drivers of RFID adoption in the automotive industry. Our key findings are that the use of a coercive approach by the OEM could be redundant because of the market-driven RFID adoption among many suppliers. Furthermore, suppliers implementing RFID can now gain an early mover competitive advantage by developing higher trust in their relationship with the OEM as well as accumulating unique expertise in this area.

Protection and Performance

We examine the linkages between import policy and export performance, extending classic macroeconomic trade effects to more recent concepts from the modern literature on gravity models. We also examine these effects empirically with a panel of global and bilateral trade spanning 15 years. Our emphasis on the role of import policy (i.e. tariffs) of exporters as an explanation of trade volumes contrasts with the recent emphasis on importer policy in the gravity literature. It also reinforces the growing body of evidence on the importance of economic environmental (policy and infrastructure) conditions in explaining relative export performance and is in line with the literature on global value chains.

Calibrating a CGE model with NTBs that Incorporates Standard Models of Modern Trade Theory

We propose a way to incorporate NTBs for the four workhorse models of the modern trade literature in computable general equilibrium models (CGEs). CGE models feature intermediate linkages and thus allow us to study global value chains (GVCs). We show that the Ethier-Krugman monopolistic competition model, the Melitz firm heterogeneity model and the Eaton and Kortum model can be defined as an Armington model with generalized marginal costs, generalized trade costs and a demand externality. As already known in the literature in both the Ethier-Krugman model and the Melitz model generalized marginal costs are a function of the amount of factor input bundles. In the Melitz model generalized marginal costs are also a function of the price of the factor input bundles. Lower factor prices raise the number of firms that can enter the market profitably (extensive margin), reducing generalized marginal costs of a representative firm. For the same reason the Melitz model features a demand externality: in a larger market more firms can enter. We implement the different models in a CGE setting with multiple sectors, intermediate linkages, non-homothetic preferences and detailed data on trade costs. We find the largest welfare effects from trade cost reductions in the Melitz model. We also employ the Melitz model to mimic changes in Non tariff Barriers (NTBs) with a fixed cost-character by analysing the effect of changes in fixed trade costs. While we work here with a model calibrated to the GTAP database, the methods developed can also be applied to CGE models based on the WIOD database.

To fuse or not to fuse? Assessing the case for convergent disciplines on goods and services trade

Think piece by Pierre Sauvé for the E15 Initiative on Strengthening the Global Trade System In his latest essay for the ICTSD-World Economic Forum E15 initiative on Strengthening the Global Trade and Investment System for Sustainable Development, WTI Director of External Programmes and Academic Partnerships and faculty member Pierre Sauvé explores the case for fusing the law of goods with that of services in a world of global value chains. The paper does so by directing attention to the questions of whether the current architectures of multilateral and preferential trade governance are compatible with a world of trade in tasks; whether the existing rules offer globally active firms a coherent structure for doing business in a predictable environment; whether it is feasible to redesign the structure and content of existing trade rules to align them to the reality of production fragmentation; and what steps can be envisaged to better align policy and realities in the marketplace if the prospects for restructuring appear unfavourable. The paper argues that fusing trade disciplines for goods and services is neither needed nor feasible and may actually deflect attention from a number of worthwhile policy initiatives where more realistic (if never easily secured) prospects of generic rule-making may well exist.

Latin Americaʹs emergence in global services: a new driver of structural change in the region?

Studies of international production acknowledge that the ability of firms to learn, upgrade and innovate in global value chains (GVCs) is influenced by knowledge flows within these global networks and by the national institutional systems in which the firms are embedded. Little is known, however, about how differences in national innovation and business systems shape the way firms and national economies insert themselves in global value chains and how this influences their upgrading trajectories. Based on a review of the existing academic literature, the chapter examines the impact of national innovation and business systems from middle-income and developing countries on learning and innovation processes in services GVCs.