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As a small and open economy, Belarus' development perspectives are intrinsically linked to its ability to produce and sell goods and services competitively in the global marketplace. While Belarus is an open economy, its trade links are concentrated both in terms of products and markets. Mineral goods –most importantly refined oil and potassium chloride - are the main export product accounting for more than 1/3 of total exports. Non mineral exports, including most importantly machinery, vehicles and transport equipment are mostly exported to Russia and other CIS markets, which account for 74 percent of non-mineral exports while the share of EU countries in Belarus non-mineral exports account for less than 15 percent. With Russia's WTO accession in 2012 competitive pressures on Belarus’ major market for non-mineral exports have further intensified. As Belarus is accelerating its own negotiations with the WTO, understanding the challenges and opportunities faced by the country's exporters is critical to putting in place an effective adaptation strategy that will enhance competitiveness and ensure Belarus can take full advantage of more open market access. The objective of this note is to analyze the economic impacts of Belarus' potential accession to the WTO. The note utilizes a modern computable general equilibrium model of the economy of Belarus to simulate impacts on the economy as a whole and on individual sectors.

This paper uses a large national household panel from 1999/2000 and 2007/08 to analyze the short-term effects of India's Mahatma Gandhi National Rural Employment Guarantee Scheme on wages, labor supply, agricultural labor use, and productivity. The scheme prompted a 10-point wage increase and higher labor supply to nonagricultural casual work and agricultural self-employment. Program-induced drops in hired labor demand were more than outweighed by more intensive use of family labor, machinery, fertilizer, and diversification to crops with higher risk-return profiles, especially by small farmers. Although the aggregate productivity effects were modest, total employment generated by the program (but not employment in irrigation-related activities) significantly increased productivity, suggesting alleviation of liquidity constraints and implicit insurance provision rather than quality of works undertaken as a main channel for program-induced productivity effects.

This paper presents a model to assess the socioeconomic resilience to natural disasters of an economy, defined as its capacity to mitigate the impact of disaster-related asset losses on welfare, and a tool to help decision makers identify the most promising policy options to reduce welfare losses due to floods. Calibrated with household surveys, the model suggests that welfare losses from the July 2005 floods in Mumbai were almost double the asset losses, because losses were concentrated on poor and vulnerable populations. Applied to river floods in 90 countries, the model provides estimates of country-level socioeconomic resilience. Because floods disproportionally affect poor people, each $1 of global flood asset loss is equivalent to a $1.6 reduction in the affected country's national income, on average. The model also assesses and ranks policy levers to reduce flood losses in each country. It shows that considering asset losses is insufficient to assess disaster risk management policies. The same reduction in asset losses results in different welfare gains depending on who benefits. And some policies, such as adaptive social protection, do not reduce asset losses, but still reduce welfare losses. Asset and welfare losses can even move in opposite directions: increasing by one percentage point the share of income of the bottom 20 percent in the 90 countries would increase asset losses by 0.6 percent, since more wealth would be at risk. But it would also reduce the impact of income losses on wellbeing, and ultimately reduce welfare losses by 3.4 percent.

This paper develops a novel methodology to measure the quantity of jobs and value of wages embodied in exports for a large number of countries and sectors for intermittent years between 1995 and 2011. The resulting Labor Content of Exports database allows the examination of the direct contribution of labor to exports as well as the indirect contribution via other sectors of the economy for skilled and unskilled labor. The analysis of the new data sets documents several new findings. First, the global share of labor value added in exports has been declining globally since 1995, but it has increased in low-income countries. Second, in line with the standard Hecksher-Ohlin trade model, the composition of labor directly contained in exports is skewed toward skilled labor in high-income countries relative to developing countries. However, that is not the case for the indirect labor content of exports. Third, manufacturing exports are a key source of labor demand in other sectors, especially in middle- and low-income countries. And the majority of the indirect demand for labor spurred by exports is in services sectors, whose workers are the largest beneficiaries of exporting activities globally. Fourth, differences in the labor value added in exports share across developing countries appears to be driven more by differences in the composition of exports rather than in sector labor intensities. Finally, average wages typically increase rapidly enough with the process of economic development to more than compensate the loss in jobs per unit of exports. The paper also includes the necessary information to build the Labor Content of Exports database from the original raw data, including stata do-files and matlab files, as well as descriptions of the variables in the data set.

This paper quantifies the contributions to poverty reduction observed in Sri Lanka between 2002 and 2012/13. The methods adopted for the analysis generate entire counterfactual distributions to account for the contributions of demographics, labor, and non-labor incomes in explaining poverty reduction. The findings show that the most important contributor to poverty reduction was growth in labor income, stemming from an increase in the returns to salaried nonfarm workers and higher returns to self-employed farm workers. Although some of this increase in earnings may point to improvements in productivity, defined as higher units of output per worker, some of it may simply reflect increases in food and commodity prices, which have increased the marginal revenue product of labor. To the extent that there have been no increases in the volumes being produced, the observed changes in poverty are vulnerable to reversals if commodity prices were to decline significantly. Finally, although private transfers (domestic and foreign) helped to reduce poverty over the period, public transfers were not as effective. In particular, the reduction in the real value of transfers of the Samurdhi program during 2002 to 2012/13 slowed down poverty reduction.

As part of a national experiment in 2008, Chengdu prefecture implemented ambitious property rights reforms, including complete registration of all land together with measures to ease transferability and eliminate migration restrictions. A triple difference approach using the Statistics Bureau’s regular household panel suggests that the reforms increased consumption and income, especially for less wealthy and less educated households, with estimated benefits well above the cost of implementation. Local labor supply increased, with the young shifting toward agriculture and the old toward off-farm employment. Agricultural yields, intensity of input use, and diversity of output also increased. Improving property rights in peri-urban China appears to have increased investment and diversification.

The welfare impact of a disaster does not depend only on the physical characteristics of the event or its direct impacts in terms of lost lives and assets. Depending on the ability of the economy to cope, recover, and reconstruct, the reconstruction will be more or less difficult, and the welfare effects smaller or larger. This ability, which can be referred to as the macroeconomic resilience of the economy to natural disasters, is an important parameter to estimate the overall vulnerability of a population. Here, resilience is decomposed into two components: instantaneous resilience, which is the ability to limit the magnitude of the immediate loss of income for a given amount of capital losses, and dynamic resilience, which is the ability to reconstruct and recover quickly. The paper proposes a rule of thumb to estimate macroeconomic resilience, based on the interest rate (a higher interest rate decreases resilience and increases welfare losses), the reconstruction duration (a longer reconstruction duration increases welfare losses), and a “ripple-effect” factor that increases or decreases immediate losses (negative if enough idle resources are available to cope; positive if cross-sector and supply-chain issues impair the production of non-affected capital). An optimal risk management strategy is very likely to include measures to reduce direct impacts (disaster risk reduction actions) and measures to reduce indirect impacts (resilience building actions).

While scholars agree on the importance of land rental markets for structural transformation in rural areas, evidence on the extent and nature of their operation, including potential obstacles to their improved functioning, remains limited. This study uses household-level data from six countries to start filling this gap and derive substantive as well as methodological lessons. The paper finds that rental markets transfer land to land-poor, labor-rich, and more productive producers throughout. But vast cross-country variation in transfers and the fact that female managers could possibly improve their income by leasing out land point towards barriers to participation that policy might address. Methodological and substantive conclusions are derived.

Drawing on a new set of nationally representative, internationally comparable household surveys, this paper provides an overview of key features of structural transformation—labor allocation and labor productivity—in four African economies. New, micro-based measures of sector labor allocation and cross-sector productivity differentials describe the incentives households face when allocating their labor. These measures are similar to national accounts-based measures that are typically used to characterize structural changes in African economies. However, because agricultural workers supply far fewer hours of labor per year than do workers in other sectors, productivity gaps disappear almost entirely when expressed on a per-hour basis. What look like large productivity gaps in national accounts data could really be employment gaps, calling into question the prospective gains that laborers can achieve through structural transformation. These employment gaps, along with the strong linkages observed between rural non-farm activities and primary agricultural production, highlight agricultures continued relevance to structural change in Sub-Saharan Africa.

The LACEX dataset has been recently assembled to compute the (direct and indirect) value of the compensation of employees linked to exports for each sector/country/year. The data has been computed on the basis of a panel of global input-output data spanning intermittent years from 1995 to 2007 from the Global Trade Analysis Project (GTAP). This represents a form of social accounting data - a variation on the social accounting matrix (SAM) where incomes are shown in the rows of the SAM while expenditures are shown in the columns. The structure of the data provides a comprehensive and consistent record of national income accounting relationships between different sectors and regions, including intermediate and final demand linkages. This structure of the dataset allows one to obtain the value added content of final output and exports, including its compensation of employees’ component. That includes both the direct and indirect compensation, based on the backward linkages of each sector with the rest of the economy. In order to obtain these labor value added measures, two intermediate multiplier matrixes need to be calculated. The first is the Leontief inverse matrix, which measures the inputs contained in a unit of final output. This matrix contains both direct and indirect inputs. Next, one needs to calculate a matrix which has the compensation of employees’ shares of total output. Using these two matrixes as multipliers one can obtain the compensation of employees’ shares of exports and final outputs. These shares are also split between skilled and unskilled workers.

This paper analyzes the economic effects of agricultural price and merchandise trade policies around the world as of 2004 on global markets, net farm incomes, and national and regional economic welfare and poverty, using the global economy wide Linkage model, new estimates of agricultural price distortions for developing countries, and poverty elasticity's approach. It addresses two questions: to what extent are policies as of 2004 still reducing rewards from farming in developing countries and thereby adding to inequality across countries in farm household incomes? Are they depressing value added more in primary agriculture than in the rest of the economy of developing countries, and earnings of unskilled workers more than of owners of other factors of production, thereby potentially contributing to inequality and poverty within developing countries (given that farm incomes are well below non-farm incomes in most developing countries and that agriculture there is intensive in the use of unskilled labor)? Results are presented for the key countries and regions of the world and for the world as a whole. They reveal that, by moving to free markets, income inequality between countries will be reduced at least slightly, all but one-sixth of the gains to developing countries will come from agricultural policy reform, unskilled workers in developing countries the majority of whom work on farms will benefit most from reform, net farm incomes in developing countries will rise by 6 percent compared with 2 percent for non-agricultural value added, and the number of people surviving on less than US$1 a day will drop 3 percent globally.

This paper empirically explores the political-economic determinants of why governments choose to tax or subsidize trade in agriculture. The authors use a new data set on nominal rates of assistance (NRA) across a number of commodities spanning the last five decades for 64 countries. NRAs measure the effect on domestic (relative to world) price of the quantitative and price-based instruments used to regulate agricultural markets. The data set admits consideration of both taxes and subsidies on exports and imports. The authors find that both economic and political variables play important roles in determining the within-variation in the NRA data. Based on results the authors offer a number of data-driven exploratory hypotheses that can inform future theoretical and empirical research on why governments choose to tax or subsidize agricultural products an important policy question that is also one of the least understood by scholars.

There is much in common between the agricultural sectors of the United States and Canada. This chapter begins with a brief background on the two sectors, then reviews their histories of farm policy developments before reporting new estimates of rates of assistance to their farmers and their consequences for taxpayers and consumers. This is followed by an explanation of the politics behind the evolution and gyrations in farm policies in the two countries, and some speculation on the prospect for reform. Since the policy histories and their effects in the two countries are somewhat different, they are discussed sequentially in those sections.

Agriculture in Western Europe enjoys a degree of diversity that reflects a wide variety of soils and climatic conditions ranging from the arid Mediterranean regions to the Arctic Circle. Superimposed on this natural diversity is the complexity of different social, economic and political conditions in the eighteen countries that are the subject of this chapter. History has played a major part in creating this patchwork, particularly the different paths that countries took from feudalism to independent farming units and the inheritance laws that influenced the extent to which land ownership was transmitted from generation to generation. Average farm size varies considerably in the countries of Western Europe, in turn reflecting the relative political and social importance of landowners and small farmers. By the late nineteenth century, these various factors had determined a structure of farming in the Western European region that is still visible today. Productivity growth in Western Europe's agricultural sector compared favorably with that in the manufacturing sector in the immediate post-war period. Over the period 1949 to 1959, by which time the economy had largely recovered from the war-time disruptions, output per person in agriculture had increased by more than that in manufacturing in most of the countries in Western Europe. The productivity growth was a combination of output increases as a result of mechanization and modernization, and the outflow of labor as other sectors absorbed rural workers.

This paper outlines the methodological issues associated with the task of measuring that actual delivered direct protection or taxation to individual agricultural industries, as well as the direct protection or anti-protection to non-agricultural sectors. It begins with a guide to what elements in principle could be measured. There are two key purposes of the distortion estimates being generated by this project are: 1) to provide a long annual time series of indicators showing the extent to which price incentives faced by farmers and food consumers have been distorted directly and indirectly by own-government policies in all major developing, transition and high-income countries, and hence for the world as a whole; and 2) to attribute the price distortion estimates for each farm product to specific border or domestic policy measures, so they can serve as inputs into various types of partial and general equilibrium economic models for estimating the effects of those various policies on such things as national and international agricultural markets, farm value added, income inequality, poverty, and national, regional and global welfare.

After decades of high trade restrictions, fiscal distortions, and currency overvaluation, Cameroon implemented important commercial and fiscal policy reforms in 1994. Almost simultaneously, a major devaluation cut the international price of Cameroon's currency in half. This article examines the effects of those reforms on the incentive structure faced by manufacturing firms. Did the reforms create a coherent new set of signals? Did they reduce dispersion in tax burdens? Was the net effect to stimulate the production of tradable goods? The results of applying a cost function decomposition to detailed firm-level panel data suggest that the reforms created clear new signals for manufacturers, as effective protection rates fell by 80 to 120 percentage points. In contrast, neither the tax reforms nor the devaluation had a major systematic effect on profit margins. The devaluation did shift relative prices dramatically in favor of exportable goods, causing exporters to grow relatively rapidly.