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Although many studies consider the spatial pattern of manufacturing plants in developing countries, the role of services as a driver of urbanization and structural transformation is still not well understood. Using establishment level data from India, this paper helps narrow this gap by comparing and contrasting the spatial development of services with that in manufacturing. The study during the 2001-2010 period suggests that (i) services are more urbanized than manufacturing and are moving toward the urban and, by contrast, the organized manufacturing sector is moving away from urban cores to the rural periphery; (ii) manufacturing and services activities are highly correlated in spatial terms and exhibit a high degree of concentration in just a few states and industries; (iii) manufacturing in urban districts has a stronger tendency to locate closer to larger cities relative to services activity; (iv) infrastructure has a significant effect on manufacturing output, while human capital matters more for services activity; and lastly, (v) technology penetration, measured by the penetration of the Internet, is more strongly associated with services than manufacturing. Similar results hold when growth in activity is measured over the study period rather than levels. Manufacturing and services do not appear to crowd each other out of local areas.

This paper quantifies the link between the timing of state-level implementations of political reservations for women in India with the role of women in India's manufacturing sector. It does not find evidence that overall employment of women in manufacturing increased after the reforms. However, the analysis finds significant evidence that more women-owned establishments were created in the unorganized/informal sector. These establishments were concentrated in industries where women entrepreneurs have been traditionally active and the entry was mainly found among household-based establishments. This heightened entrepreneurship does not appear linked to changes in reporting, better access to government contracts and business, or improved financing environments. One interpretation of these results is that the implementation of the political reservations inspired more women to open establishments, and they did so at a small establishment scale in industries where they had experience and/or the support networks of other women.

Why do firms cluster near one another? We test Marshall's theories of industrial agglomeration by examining which industries locate near one another, or coagglomerate. We construct pairwise coagglomeration indices for US manufacturing industries from the Economic Census. We then relate coagglomeration levels to the degree to which industry pairs share goods, labor, or ideas. To reduce reverse causality, where collocation drives input-output linkages or hiring patterns, we use data from UK industries and from US areas where the two industries are not collocated. All three of Marshall's theories of agglomeration are supported, with input-output linkages particularly important. (JEL L14, L60, O33, R23, R32)

Introduction / Gordon H. Hanson, William R. Kerr, and Sarah Turner -- High-skilled immigration and the comparative advantage of foreign-born workers across U.S.occupations / Gordon H. Hanson and Chen Liu -- The innovation activities of multinational enterprises and the demand for skilled worker, non-immigrant visas / Stephen Ross Yeaple -- Digital labor markets and global talent flows / John Horton, William R. Kerr, and Christopher Stanton -- Understanding the economic impact of the H-1b program on the U.S. / John Bound, Gaurav Khanna, and Nicolas Morales -- High-skilled immigration, stem employment, and non-routine-biased technical change / Nir Jaimovich and Henry E. Siu -- Firm dynamics and immigration: the case of high-skilled immigration / Michael E. Waugh

Growing research and policy interest focuses on the misallocation of output and factors of production in developing economies. This paper considers the possible misallocation of financial loans. Using plant-level data on the organized and unorganized sectors, the paper describes the temporal, geographic, and industry distributions of financial loans. The focus of the analysis is the hypothesis that land misallocation might be an important determinant of financial misallocation (for example, because of the role of land as collateral against loans). Using district-industry variations, the analysis finds evidence to support this hypothesis, although it does not find a total reduction in the intensity of financial loans or those being given to new entrants. The analysis also considers differences by gender of business owners and workers in firms. Although potential early gaps for businesses with substantial female employment have disappeared in the organized sector, a sizeable and persistent gap remains in the unorganized sector.