Linked versus Non-linked Firms in Innovation: The Effects of Economies of Network in Agglomeration in East Asia

This paper proposes a new mechanism linking innovation and network in developing economies to detect explicit production and information linkages and investigates the testable implications of these linkages using survey data gathered from manufacturing firms in East Asia. We found that firms with more information linkages tend to innovate more, have a higher probability of introducing new goods, introducing new goods to new markets using new technologies, and finding new partners located in remote areas. We also found that firms that dispatched engineers to customers achieved more innovations than firms that did not. These findings support the hypothesis that production linkages and face‐to‐face communication encourage product and process innovation.

Effects of birth order and sibling sex composition on human capital investment in children in India

The paper explores the effects of birth order and sibling sex composition on human capital investment in children in India using the Indian Human Development Survey (IHDS). Endogeneity of fertility is addressed using instruments and controlling for household fixed effects. Family size effect is also distinguished from the sibling sex composition effect. Previous literature has often failed to take endogeneity into account and shows a negative birth order effect for girls in India. Once endogeneity of fertility is addressed, there is no evidence for a negative birth order effect or sibling sex composition effect for girls. Results show that boys are worse off in households that have a higher proportion of boys specifically when they have older brothers.

Agglomeration effects of informal sector: evidence from Cambodia

The presence of a large informal sector in developing economies poses the question of whether informal activity produces agglomeration externalities. This paper uses data on all the nonfarm establishments and enterprises in Cambodia to estimate the impact of informal agglomeration on the regional economic performance of formal and informal firms. We develop a Bayesian approach for a spatial autoregressive model with an endogenous explanatory variable to address endogeneity and spatial dependence. We find a significantly positive effect of informal agglomeration, where informal firms gain more strongly than formal firms. Calculating the spatial marginal effects of increased agglomeration, we demonstrate that more accessible regions are more likely than less accessible regions to benefit strongly from informal agglomeration.