Regional Economic Activity: Growth, Development, Environmental Issues, and Changes
Does entrepreneurship cause urban economic growth and if so how large is the impact? Empirical analysis of such question is hampered by endogeneity. This paper uses two different sets of variables – the homestead exemption levels in state bankruptcy laws from 1975 and the share of MSA overlaying aquifers - to instrument for entrepreneurship and examine urban growth between 1993 and 2002. Despite using different sets of instrumental variables, the ranges of 2SLS estimates are similar, further supporting the significant impact of entrepreneurship on urban growth.
This paper examines the impact of government guaranteed small business loans on urban economic growth, and compares the growth impacts of government versus market financed entrepreneurship. OLS estimates indicate a significant and positive relation between the Small Business Administration’s guaranteed loans and metropolitan growth between 1993 and 2002. However, first-difference and instrumental variable regressions show no growth impact from government guaranteed loans. In contrast, market entrepreneurship significantly and positively contributes to local economic growth.
This paper studies the recent spatial development of India. Services, and to a lesser extent manufacturing, are increasingly concentrating in high-density clusters. This stands in contrast with the United States, where in the last decades services have tended to grow fastest in mediumdensity locations, such as Silicon Valley. India's experience is not common to all fast-growing developing economies. The spatial growth pattern of China looks more similar to that in the U.S. than to that of India.
We propose a dynamic spatial theory to analyze the geographic impact of climate change. Agricultural and manufacturing firms locate on a hemisphere. Trade across locations is costly, firms innovate, and technology diffuses over space. Energy used in production leads to emissions that contribute to the global stock of carbon in the atmosphere, which affects temperature. The rise in temperature differs across latitudes and its effect on productivity also varies across sectors.
We study the validity of Zipf's Law in a data set of Chinese city sizes. Previous investigations are restricted to log-log rank-size regression for a fixed sample. In contrast, we use rolling sample regression methods in which the sample is changing with the truncation point. The intuition is that if the distribution is Pareto with a coefficient one (Zipf's law holds), rolling sample regressions should yield a constant coefficient regardless of what the sample is.