Global matrices of bilateral migrant stocks spanning 1960-2000 are presented, disaggregated by gender and based primarily on the foreign-born definition of migrants. More than one thousand census and population register records are combined to construct decennial matrices corresponding to the five census rounds between 1960 and 2000. For the first time, a comprehensive picture of bilateral global migration over the second half of the 20th century emerges. The data reveal that the global migrant stock increased from 92 million in 1960 to 165 million in 2000. Quantitatively, migration between developing countries dominates, constituting half of all international migration in 2000. When the partition of India and the dissolution of the Soviet Union are accounted for, migration between developing countries is remarkably stable over the period. Migration from developing to developed countries is the fastest growing component of international migration in both absolute and relative terms. The United States has remained the most important migrant destination in the world, home to one fifth of the world's migrants and the top destination for migrants from some 60 sending countries. Migration to Western Europe has come Ç ag lar Ö zden
This paper introduces four versions of an international bilateral migration stock database for 226 by 226 countries and territories. The first three versions each consist of two matrices, the first containing migrants defined by country of birth, i.e. the foreign-born population, the second, by nationality, i.e. the foreign population. Wherever possible, the information is collected from the 2000 round of censuses, though older data are included where this information was unavailable. The first version of the matrices contains as much data as could be collated at the time of writing but also contains gaps. The later versions progressively employ a variety of techniques to estimate the missing data. The final matrix, comprising only the foreign-born, attempts to reconcile all of the available information to provide the researcher with a single and complete matrix of international bilateral migrant stocks. The final section of the paper describes some of the patterns evident in the database.
We discuss liberalising the temporary mobility of workers under Mode 4 of the GATS, particularly the movement of medium and low skilled service providers between developing and developed countries. Such mobility potentially offers huge returns: a flow equivalent to three per cent of developed countries’ skilled and unskilled work forces would generate an estimated increase in world welfare of over US$150 billion, shared fairly equally between developing and developed countries. The larger part of this emanates from the less‐skilled, essentially because losing higher‐skilled workers cuts output in developing countries severely. The mass migration of less skilled workers raises fears in developed countries for cultural identity, problems of assimilation and the drain on the public purse. These fears are hardly relevant to temporary movement, however. The biggest economic concern from temporary mobility is its competitive challenge to local less skilled workers. But as populations age and the average levels of training and education rise, developed countries will face an increasing scarcity of less skilled labour. Temporary mobility thus actually offers a strong communality of interest between developing and developed countries.The remainder of the paper looks at the GATS provisions on Mode 4 and the commitments that have been made under it. The paper reviews several official proposals for the Doha talks, including the very detailed one from India, and considers several countries’ existing schemes for the temporary movement of foreign workers. Many countries have long had bilateral foreign worker programmes, and some regional agreements provide for liberal and flexible movement. These show what is feasible and how concerns can be overcome. We caution that, to be useful, any WTO agreement must increase mobility, not just bureaucratise it.The paper concludes with some modest and practical proposals. We suggest, inter alia, that licensing firms to arrange the movement of labour is the most promising short‐term approach to increasing temporary mobility.
Abstract:As manufacturing tariffs have fallen worldwide, the focus of free trade agreements has shifted towards other issues, including: rules governing foreign investment, e-commerce regulations, trade in services, harmonization of technical standards, sanitary and phyto-sanitary regulations, and the streamlining of customs procedures. Japan and Singapore are undertaking negotiations over this kind of "new-age" FTA. The purpose of this paper is to evaluate the impact of the FTA on production, consumption, trade, international investment flows, GDP and welfare. We use a modified version of the dynamic GTAP model, which is well-suited to capturing the impact of this new-age FTA over both the short run and the longer run.In addition to the proposed bilateral tariff cuts, our analysis takes account of the potential gains from implementing uniform standards for e-commerce in Japan and Singapore. The consequences of liberalizing rules governing direct trade in services are also considered. Finally, we seek to quantify the impact of automating customs procedures in Japan, making them compatible with the computer-based standards established by Singapore. This is projected to reduce the administrative costs and lag time in Japan's exports to, and imports from, all destinations, thereby permitting products to be delivered in a more timely fashion.We find that the impacts of this new-age FTA on bilateral trade and investment flows are significant -with customs automization playing the most important role in driving increases in merchandise trade. The FTA also boosts rates of return in the two economies, thereby increasing both foreign and domestic investment as well as GDP. This causes the trade balance in both Japan and Singapore to deteriorate relative to baseline over the medium run, although it improves in the long run due to higher foreign income payments. The estimated global gains from this FTA are in excess of $US 9 billion annually, with the bulk of these gains accruing to Japan -which undertakes most of the reforms. Unlike preferential tariff cuts, the "new age" components of this FTA promote imports from all sources, thereby eliminating the problem of trade diversion.
We describe the creation of the Global Multi-Region Input-Output (MRIO) Lab, which is a cloud-computing platform offering a collaborative research environment through which participants can use each other's resources to assemble their own individual MRIO versions. The Global MRIO Lab's main purpose is to harness and focus previously disparate resources aimed at compiling large-scale MRIO databases that provide comprehensive representations of interregional trade, economic structure, industrial interdependence, as well as environmental and social impact. Based on the operational Australian Industrial Ecology Lab, a particularly important feature of this cloud environment is a highly detailed regional and sectoral taxonomy called the 'root classification'. The purpose of this root is to serve as a feedstock from which researchers can choose any combination of regions and economic sectors to form a model of the economy that is suitable to address their particular research questions. Thus, the Global MRIO Lab concept enables enhanced flexibility in MRIO database construction whilst at the same time saving resources and avoiding duplication, by sharing time-and labour-intensive tasks amongst multiple research teams. We explain the concept, architecture, development and preliminary results of the Global MRIO Lab, and discuss its ability to continuously deliver some of the most prominent world MRIO databases.
The Policy Research Working Paper Series disseminates the findings of work in progress to encourage the exchange of ideas about development issues. An objective of the series is to get the findings out quickly, even if the presentations are less than fully polished. The papers carry the names of the authors and should be cited accordingly. The findings, interpretations, and conclusions expressed in this paper are entirely those of the authors. They do not necessarily represent the views of the International Bank for Reconstruction and Development/World Bank and its affiliated organizations, or those of the Executive Directors of the World Bank or the governments they represent.
We present a formal analysis of the macroeconomic impacts of the COVID-19 pandemic in the U.S., China and the rest of the world. Given the uncertainty regarding the severity and time-path of the infections and related conditions, we examine three scenarios, ranging from a relatively moderate event to a disaster. The study considers a comprehensive list of causal factors affecting the impacts, including: mandatory closures and the gradual re-opening process; decline in workforce due to morbidity, mortality and avoidance behavior; increased demand for health care; decreased demand for public transportation and leisure activities; potential resilience through telework; increased demand for communication services; and increased pent-up demand. We apply a computable general equilibrium (CGE) model, a state-of-the-art economy-wide modeling technique. It traces the broader economic ramifications of individual responses of producers and consumers through supply chains both within and across countries. We project that the net U.S. GDP losses from COVID-19 would range from $3.2 trillion (14.8%) to $4.8 trillion (23.0%) in a 2-year period for the three scenarios. U.S. impacts are estimated to be higher than those for China and the ROW in percentage terms. The major factor affecting the results in all three scenarios is the combination of Mandatory Closures and Partial Reopenings of businesses. These alone would have resulted in a 22.3% to 60.6% decrease in U.S. GDP across the scenarios. Pent-up Demand, generated from the inability to spend during the Closures/Reopenings, is the second most influential factor, significantly offsetting the overall negative impacts.
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