Since the 1920's economists have wrestled with the effects of external economies on trade liberalization. In this paper I show that under extreme conditions, externalities can reverse the gains from trade found in perfectly competitive trade models. However, the externalities needed to generate this result, even under the worst possible conditions (all expanding industries are subject to negative externalities, all contracting industries have positive externalities) are orders of magnitude larger than those estimated in Krizan (1997). This suggests that the presence of external economies of scale does not provide a credible argument for protectionism. On the other hand, the CGE model showed that external effects can increase the welfare gains from trade liberalization, but the combined effect is still small compared to other policy options. This finding contrasts sharply with many models featuring internal returns to scale that are able to generate large welfare benefits from trade liberalization.
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Industrial Spillovers In Developing Countries: Plant-Level Evidence From Chile, Mexico And Morocco
January 1998
Working Paper Number:
CES-98-02
Recent trade and growth models have underscored the potential importance of external economies of scale. However, many of the most frequently modeled externalities have either not been measured or have been estimated with data too aggregate to be informative. In this paper, plant-level longitudinal data from Chile, Mexico and Morocco allow me to provide some of the first micro evidence on several types of external economies from plant-level production functions. The results indicate that in many industries own-industry output contributes positively to plant-level productivity. However, the effects of geographic concentration are mixed. Cross-country concentration, as measured by a geographic GINI index, often decreases productivity but within-province, same industry activity enhances it.
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Industrial Spillovers in Developing Countries: Plant-level Evidence From Chile, Mexico, and Morocco
January 1998
Working Paper Number:
CES-98-01
This paper documents the procedure used to match firm-level data from the Quarterly Financial Reports (QFR) to plant-level (establishment) data from the Longitudinal Research Database (LRD). The resulting matched firms and their plants provide a link between a firm's financial structure and its manufacturing plants. The linked database provides a resource that researchers can use to examine the interaction of financial structure with firm decisions - including decisions such as employment, investment, mergers, and asset redeployment. Financial structure characteristics in the QFR include the composition and amount of debt claims.
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A Flexible Test for Agglomeration Economies in Two U.S. Manufacturing Industries
August 2004
Working Paper Number:
CES-04-14
This paper uses the inverse input demand function framework of Kim (1992) to test for economies of industry and urban size in two U.S. manufacturing sectors of differing technology intensity: farm and garden machinery (SIC 352) and measuring and controlling devices (SIC 382). The inverse input demand framework permits the estimation of the production function jointly with a set of cost shares without the imposition of prior economic restrictions. Tests using plant-level data suggest the presence of population scale (urbanization) economies in the moderate- to low-technology farm and garden machinery sector and industry scale (localization) economies in the higher technology measuring and controlling devices sector. The efficiency and generality of the inverse input demand approach are particularly appropriate for micro-level studies of agglomeration economies where prior assumptions regarding homogeneity and homotheticity are less appropriate.
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Downsizing, Layoffs and Plant Closure: The Impacts of Import Price Pressure and Technological Growth on U.S. Textile Producers
April 2006
Working Paper Number:
CES-06-10
Downsizing, layoffs and plant closure are three plant-level responses to adverse economic conditions. I provide a theoretical and empirical analysis that illustrates the sources of each phenomenon and the implications for production and employment in the textiles industry. I consider two potential causes of these phenomena: technological progress and increased import competition. I create a micro-founded model of plant-level decision-making and combine it with conditions for dynamic market equilibrium. Through use of detailed plant-level information available in the US Census of Manufacturers and the Annual Survey of Manufacturers for the period 1982-2001, along with price data on imports, I examine the relative contribution of technology and import competition to the decline in output, employment and number of plants in textiles production in the US in recent years. The market-clearing domestic price of textiles is identified as a crucial channel in transmitting technology or import price shocks to downsizing, layoffs and plant closure. The model is estimated on two 4-digit sectors of textiles production (SIC 2211, broadwoven cotton and SIC 2221, broadwoven man-made fiber). The results validate modeling the production sectors as monopolistically competitive, and the elasticity of substitution between foreign and domestic varieties is found to be quite high. The coefficients on the productive technology are sensible, as are the estimated parameters of the plant exit, entry and investment decision rules. In simulations for the broadwoven cotton industry, the effects of technological progress are shown to have a much larger impact on layoffs than on plant closure, with plant size as measured by output actually increasing. Falling foreign prices lead to greater relative magnitudes of plant closure than of downsizing or layoffs.
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Agglomeration, Enterprise Size, and Productivity
August 2004
Working Paper Number:
CES-04-15
Much research on agglomeration economies, and particularly recent work that builds on Marshall's concept of the industrial district, postulates that benefits derived from proximity between businesses are strongest for small enterprises (Humphrey 1995, Sweeney and Feser 1998). With internal economies a function of the shape of the average cost curve and level of production, and external economies in shifts of that curve, a small firm enjoying external economies characteristic of industrial districts (or complexes or simply urbanized areas) may face the same average costs as the larger firm producing a higher volume of output (Oughton and Whittam 1997; Carlsson 1996; Humphrey 1995). Thus we observe the seeming paradox of large firms that enjoy internal economies of scale co-existing with smaller enterprises that should, by all accounts, be operating below minimum efficient scale. With the Birch-inspired debate on the relative job- and innovation-generating capacity of small and large firms abating (Ettlinger 1997), research on the small firm sector has shifted to an examination of the business strategies and sources of competitiveness of small enterprises (e.g., Pratten 1991, Nooteboom 1993). Technological external scale economies are a key feature of this research (Oughton and Whittam 1997).
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International Trade, Employment, and Earnings: Evidence from U.S. Rural Counties
May 2003
Working Paper Number:
CES-03-12
Rural manufacturers in the United States are considered highly vulnerable to competition from international imports. Yet only limited empirical attention has been paid to the effects of trade on U.S. rural economies. This paper investigates the effects of international trade on U.S. rural manufacturing economies and compares the effects of trade pressures in rural versus urban areas. Our results indicate that lower export prices are associated with increased manufacturing employment and earnings in both rural and urban counties, while lower import prices are associated with reduced rural employment but increased urban employment. Greater export orientation is associated with lower employment and earnings in both rural and urban counties, while import orientation has mixed effects.
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Climate Change, The Food Problem, and the Challenge of Adaptation through Sectoral Reallocation
September 2021
Working Paper Number:
CES-21-29
This paper combines local temperature treatment effects with a quantitative macroeconomic model to assess the potential for global reallocation between agricultural and non-agricultural production to reduce the costs of climate change. First, I use firm-level panel data from a wide range of countries to show that extreme heat reduces productivity less in manufacturing and services than in agriculture, implying that hot countries could achieve large potential gains through adapting to global warming by shifting labor toward manufacturing and increasing imports of food. To investigate the likelihood that such gains will be realized, I embed the estimated productivity effects in a model of sectoral specialization and trade covering 158 countries. Simulations suggest that climate change does little to alter the geography of agricultural production, however, as high trade barriers in developing countries temper the influence of shifting comparative advantage. Instead, climate change accentuates the existing pattern, known as 'the food problem,' in which poor countries specialize heavily in relatively low productivity agricultural sectors to meet subsistence consumer needs. The productivity effects of climate change reduce welfare by 6-10% for the poorest quartile of the world with trade barriers held at current levels, but by nearly 70% less in an alternative policy counterfactual that moves low-income countries to OECD levels of trade openness.
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The Effects of Outsourcing on the Elasticity of Labor Demand
March 2006
Working Paper Number:
CES-06-07
In this paper, I focus on the effects of outsourcing on conditional labor demand elasticities. I begin by developing a model of outsourcing that formalizes this relationship. I show that the increased possibility of outsourcing (modeled as a decline in foreign intermediate input prices and an increase in the elasticity of substitution between foreign and domestic intermediate inputs) should increase labor demand elasticities. I also show that, a decline in the share of unskilled labor, due either to skill biased technological change or to movement of unskilled labor intensive stages abroad, can work in the opposite direction and reverse the increasing trend in elasticities. I then test the predictions of the model using the U.S. Census Bureau's Longitudinal Research Database (LRD). The instrumental variable approach used in the estimation of labor demand equations is the main methodological contribution of this paper. I directly address the endogeneity of wages in the labor demand equation by using average nonmanufacturing wages for each location and year as an instrumental variable for the plant-level wages in the manufacturing sector. The results support the main predictions of my model. U.S. manufacturing plants operating in industries that heavily outsource experienced an increase in their conditional labor demand elasticities during the 1980-1992 period. After 1992 elasticities began to decrease in outsourcing industries. This finding is consistent with the model which suggests that a decline in the share of unskilled labor in total cost could result in such a decrease in labor demand elasticities, precisely when the level of outsourcing is high. Estimates at the two-digit industry level provide further evidence in support of the hypothesis that heavily outsourcing industries experience greater increases in their elasticities.
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Import Price Pressure on Firm Productivity and Employment: The Case of U.S. Textiles
March 2006
Working Paper Number:
CES-06-09
Theoretical research has predicted three different effects of increased import competition on plant-level behavior: reduced domestic production and sales, improving average efficiency of plants, and increased exit of marginal firms. In empirical work, though, such effects are difficult to separate from the impact of exogenous technological progress (or regress). I use detailed plant-level information available in the US Census of Manufacturers and the Annual Survey of Manufacturers for the period 1983-2000 to decompose these effects. I derive the relative contribution of technology and import competition to the increase in productivity and the decline in employment in textiles production in the US in recent years. I then simulate the impact of removal of quota protection on the scale of operation of the average plant and the incentive to plant closure. The methodology employs a number of important innovations in examining the impact of falling import prices on the domestic production of an import-competing good. First, import competition is modeled directly through its impact on the relative prices of monopolistically competitive goods along the lines suggested by Melitz (2000). Second, the effect of technology is incorporated through structural estimation of plant-level production functions in four factors (capital, labor, energy and materials). Solutions to econometric difficulties related to missing capital data and unobserved productivity are incorporated into the estimation technique. The model is estimated for plants with primary product in SIC 2211 (broadwoven cotton cloth). Results validate modeling demand as for differentiated products. Technological coefficients are sensible, with exogenous technological progress playing a large role. In the simulations run, the effects of foreign price competition are orders of magnitude higher than those of technological progress for the period after quotas on imports are removed. The large-scale reduction in employment and output in the US is shown to be a combination of reduced employment and output at plants in continuous operation and of plant closures that exceed new entries.
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HOW IMPORTANT ARE SECTORAL SHOCKS
September 2014
Working Paper Number:
CES-14-31
I quantify the contribution of sectoral shocks to business cycle fluctuations in aggregate output. I develop a multi-industry general equilibrium model in which each industry employs the material and capital goods produced by other sectors, and then estimate this model using data on U.S. industries sales, output prices, and input choices. Maximum likelihood estimates indicate that industry-specific shocks account for nearly two-thirds of the volatility of aggregate output, substantially larger than previously assessed. Identification of the relative importance of industry-specific shocks comes primarily from data on industries intermediate input purchases, data that earlier estimations of multi-industry models have ignored.
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