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We investigate, using plant-level data for 79 developed and developing countries, whether differences in the allocation of resources across heterogeneous plants are a significant determinant of cross-country differences in income per worker. For this purpose, we use a standard version of the neoclassical growth model augmented to incorporate monopolistic competition among heterogeneous plants. For our preferred calibration, the model explains 58% of the log variance of income per worker. This figure should be compared to the 42% success rate of the usual model.
"We investigate, using firm level data for 79 developed and developing countries, whether differences in the allocation of resources across heterogeneous plants are a significant determinant of cross-country differences in income per worker. For this purpose, we use a standard version of the neoclassical growth model augmented to incorporate monopolistic competition among heterogeneous firms. For our preferred calibration, the model explains 58% of the log variance of income per worker. This figure should be compared to the 42% success rate of the usual model"--National Bureau of Economic Research web site
The plant size distribution differs systematically across developed and developing countries. For example, in developing countries, less than one fifth of 1% of plants are large (employ 100 or more employees) and account for about one fifth of total employment. In sharp contrast, in developed countries, more than 1.6% of plants are large and account for more than two fifth of total employment. In this dissertation, I develop a model of plant size to account for the differences in the plant size distribution observed in the data. In the first chapter, I explore the link between plant size distribution and economic development. I also discuss the main features of the plant size distribution data. The purpose of this data set is to provide evidence of systematic differences in plant size distribution across developed and developing countries. In the second chapter, I present a dynamic employment choice model in a life cycle setting. Then I calibrate the benchmark model to match some key features of the U.S. plant size distribution. I find that my model can capture the critical features of U.S. plant size distribution, including the upper tail which accounts for the bulk of the employment and output in the U.S. economy. In the third chapter, I explore how exogenous differences in aggregate barriers to investment and technology across countries affect the plant size distribution. Results indicate that exogenous differences in aggregate barriers to investment and technology across countries can account for more than 50% of the variation in both the fraction of large plants and employment share in large plants across countries. For the same group of countries, exogenous differences in aggregate barriers also account for 36% of the variation in the mean size.
The typical size distribution of manufacturing plants in developing countries has a thick left tail compared to developed countries. The same holds across Indian states, with richer states having a much smaller share of their manufacturing employment in small plants. In this paper, I explore the hypothesis that this income-size relation arises from the fact that low income countries and states have high demand for low quality products which can be produced efficiently in small plants. I provide evidence which is consistent with this hypothesis from both the consumer and producer side. In particular, I show empirically that richer households buy higher price goods while larger plants produce higher price products (and use higher price inputs). I develop a model which matches these cross-sectional facts. The model features non-homothetic preferences with respect to quality on the consumer side. On the producer side, high quality production has higher marginal costs and requires higher fixed costs. These two features imply that high quality producers are larger on average and charge higher prices. The model can explain about forty percent of the cross-state variation in the left tail of manufacturing plants in India.
Leading American and European economists discuss monetary and fiscal policy from an international macroeconomic perspective in a companion volume to the NBER Macroeconomics Annual: cutting-edge research on macroeconomic issues and topical questions concerning the eastward expansion of the European Monetary Union.
Economic and social progress requires a diverse ecosystem of firms that play complementary roles. Making It Big: Why Developing Countries Need More Large Firms constitutes one of the most up-to-date assessments of how large firms are created in low- and middle-income countries and their role in development. It argues that large firms advance a range of development objectives in ways that other firms do not: large firms are more likely to innovate, export, and offer training and are more likely to adopt international standards of quality, among other contributions. Their particularities are closely associated with productivity advantages and translate into improved outcomes not only for their owners but also for their workers and for smaller enterprises in their value chains. The challenge for economic development, however, is that production does not reach economic scale in low- and middle-income countries. Why are large firms scarcer in developing countries? Drawing on a rare set of data from public and private sources, as well as proprietary data from the International Finance Corporation and case studies, this book shows that large firms are often born large—or with the attributes of largeness. In other words, what is distinct about them is often in place from day one of their operations. To fill the “missing top†? of the firm-size distribution with additional large firms, governments should support the creation of such firms by opening markets to greater competition. In low-income countries, this objective can be achieved through simple policy reorientation, such as breaking oligopolies, removing unnecessary restrictions to international trade and investment, and establishing strong rules to prevent the abuse of market power. Governments should also strive to ensure that private actors have the skills, technology, intelligence, infrastructure, and finance they need to create large ventures. Additionally, they should actively work to spread the benefits from production at scale across the largest possible number of market participants. This book seeks to bring frontier thinking and evidence on the role and origins of large firms to a wide range of readers, including academics, development practitioners and policy makers.
This paper examines the variation in life cycle growth across the universe of Mexican firms. We establish two stylized facts to motivate our analysis: first, we show that firm size matters for development by illustrating a close correlation with state-level per capita incomes. Second, we show that few firms grow as much as their U.S. peers while the majority stagnates at less than twice their initial size. To gain insights into the distinguishing characteristics of the two groups, we then econometrically decompose life cycle growth across firms. We find that firms that have financial access and multiple establishments and that are formal, part of diversified industries and located in population centers can grow at sizeable rates.
We measure the contribution of firm-embedded productivity to cross-country income differences. By firm-embedded productivity we refer to the components of productivity that differ across firms and that can be transferred internationally, such as blueprints, management practices, and intangible capital. Our approach relies on microlevel data on the cross-border operations of multinational enterprises (MNEs). We compare the market shares of the exact same MNE in different countries and document that they are about four times larger in developing than in high-income countries. This finding indicates that MNEs face less competition in less-developed countries, suggesting that firm-embedded productivity in those countries is scarce. We propose and implement a new measure of firm-embedded productivity based on this observation. We find a strong positive correlation between our measure and output per-worker across countries. In our sample, differences in firm-embedded productivity account for roughly a third of the cross-country variance in output per-worker.
The Census Bureau has recently begun releasing official statistics that measure the movements of firms in and out of business and workers in and out of jobs. The economic analyses in Producer Dynamics exploit this newly available data on establishments, firms, and workers, to address issues in industrial organization, labor, growth, macroeconomics, and international trade. This innovative volume brings together a group of renowned economists to probe topics such as firm dynamics across countries; patterns of employment dynamics; firm dynamics in nonmanufacturing industries such as retail, health services, and agriculture; employer-employee turnover from matched worker/firm data sets; and turnover in international markets. Producer Dynamics will serve as an invaluable reference to economists and policy makers seeking to understand the links between firms and workers, and the sources of economic dynamics, in the age of globalization.