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Deep trade agreements (DTAs) cover not just trade but additional policy areas, such as international flows of investment and labor and the protection of intellectual property rights and the environment. Their goal is integration beyond trade or deep integration. These agreements matter for economic development. Their rules influence how countries (and hence, the people and firms that live and operate within them) transact, invest, work, and ultimately, develop. Trade and investment regimes determine the extent of economic integration, competition rules affect economic efficiency, intellectual property rights matter for innovation, and environmental and labor rules contribute to environmental and social outcomes. This Handbook provides the tools and data needed to analyze these new dimensions of integration and to assess the content and consequences of DTAs. The Handbook and the accompanying database are the result of collaboration between experts in different policy areas from academia and other international organizations, including the International Trade Centre (ITC), Organisation for Economic Co-operation and Development (OECD), United Nations Conference on Trade and Development (UNCTAD), and World Trade Organization (WTO).
This book summarizes assessments of the Paris Agreement to provide an excellent introduction to this research field. The AIM/CGE (Asia-Pacific Integrated Modeling /Computable General Equilibrium) model, which is the core of AIM modeling framework, is used for the assessment. The first part focuses on global issues, presenting both short-term (a few decades) and long-term (century scale) assessments in the context of the Agreement’s ultimate climate goal. It also discusses policy implementation and climate risk. Part 2 is a collection of assessments of individual Asian countries, providing insights into the national situations and detailed analyses. It includes contributions from Asian countries as well as NIES (National Institute for Environmental Studies, Japan) members. The main conclusion is that many countries require changes to their energy systems change and societal transformation in order to meet emissions targets. Part 3 describes in detail the AIM/CGE model, which is used to evaluate the climate and energy policies by simulating the future economic and energy and environmental situation in the Asia-Pacific region. This section can be used as a standard text on CGE modelling in climate change mitigation.
This publication displays the menu for choice of available methods to evaluate the impact of Free Trade Agreements (FTAs). It caters mainly to policy makers from developing countries and aims to equip them with some economic knowledge and techniques that will enable them to conduct their own economic evaluation studies on existing or future FTAs, or to critically re-examine the results of impact assessment studies conducted by others, at the very least.
People are constantly changing the land surface through construction, agriculture, energy production, and other activities. Changes both in how land is used by people (land use) and in the vegetation, rock, buildings, and other physical material that cover the Earth's surface (land cover) can be described and future land change can be projected using land-change models (LCMs). LCMs are a key means for understanding how humans are reshaping the Earth's surface in the past and present, for forecasting future landscape conditions, and for developing policies to manage our use of resources and the environment at scales ranging from an individual parcel of land in a city to vast expanses of forests around the world. Advancing Land Change Modeling: Opportunities and Research Requirements describes various LCM approaches, suggests guidance for their appropriate application, and makes recommendations to improve the integration of observation strategies into the models. This report provides a summary and evaluation of several modeling approaches, and their theoretical and empirical underpinnings, relative to complex land-change dynamics and processes, and identifies several opportunities for further advancing the science, data, and cyberinfrastructure involved in the LCM enterprise. Because of the numerous models available, the report focuses on describing the categories of approaches used along with selected examples, rather than providing a review of specific models. Additionally, because all modeling approaches have relative strengths and weaknesses, the report compares these relative to different purposes. Advancing Land Change Modeling's recommendations for assessment of future data and research needs will enable model outputs to better assist the science, policy, and decisionsupport communities.
Global value chains (GVCs) powered the surge of international trade after 1990 and now account for almost half of all trade. This shift enabled an unprecedented economic convergence: poor countries grew rapidly and began to catch up with richer countries. Since the 2008 global financial crisis, however, the growth of trade has been sluggish and the expansion of GVCs has stalled. Meanwhile, serious threats have emerged to the model of trade-led growth. New technologies could draw production closer to the consumer and reduce the demand for labor. And trade conflicts among large countries could lead to a retrenchment or a segmentation of GVCs. World Development Report 2020: Trading for Development in the Age of Global Value Chains examines whether there is still a path to development through GVCs and trade. It concludes that technological change is, at this stage, more a boon than a curse. GVCs can continue to boost growth, create better jobs, and reduce poverty provided that developing countries implement deeper reforms to promote GVC participation; industrial countries pursue open, predictable policies; and all countries revive multilateral cooperation.
The book provides a hands-on introduction to computable general equilibrium (CGE) models, written at an accessible, undergraduate level.
Agricultural trade is a major factor determining food security in Caribbean countries. In these small open economies, exports are essential, whilst imports provide a large part of the food supply. This book examines various dimensions of trade policy and related issues and suggests policies to address trade and food security and rural development linkages. It is as a guide and reference documents for agricultural trade policy analysts, trade negotiators, policy-makers and planners in both the public and private sectors.
This book presents the basic model of an agricultural household that underlies most of the case studies undertaken so far. The model assumes that households are price-takers and is therefore recursive. The decisions modeled include those affecting production and the demand for inputs and those affecting consumption and the supply of labor. Comparative results on selected elasticities are presented for a number of economies. The empirical significance of the approach is demonstrated in a comparison of models that treat production and consumption decisions separately and those in which the decisionmaking process is recursive. The book summarizes the implications of agricultural pricing policy for the welfare of farm households, marketed surplus, the demand for nonagricultural goods and services, the rural labor market, budget revenues, and foreign exchange earnings. In addition, it is shown that the basic model can be extended in order to explore the effects of government policy on crop composition, nutritional status, health, saving, and investment and to provide a more comprehensive analysis of the effects on budget revenues and foreign exchange earnings. Methodological topics, primarily the data requirements of the basic model and its extensions, along with aggregation, market interaction, uncertainty, and market imperfections are discussed. The most important methodological issues - the question of the recursive property of these models - is also discussed.