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The Impact of Agglomeration Externalities on Product Innovation Output in Chinese Industrial Firms
By Cindy Feng
Agglomeration externalities is defined as the economic benefits from concentrating firms, housing, and output. This study investigates the impact of agglomeration externalities of industrial firms on product innovation output in China. In the research, I specified the impact of agglomeration into three types: Marshallian or localization externalities, defined as the impact of collocating with same-industry firms; Urbanization economies, defined as the impact of collocating with different-industry firms, and Porter externalities, the impact of competing with same-industry firms as a result of localization. My result suggests endogenous spatial selection of firms account for most of the agglomeration impacts we observe. Despite so, urbanization economies is still impactful in boosting a firm’s innovation performance, and should be taken into account as the government implements policies that boost firm performance.
Advisors: Professor Charles Becker, Professor Kent Kimbrough | JEL Codes: R3, D24, R50
Do Evictions Cause Income Changes? An Instrumental Variables Approach
By Grace Mok
Evictions are an important aspect of the affordable housing crisis facing low-income American renters. However, there has been little research quantifying the causal impact of evictions, which poses challenges for academics interested in understanding inequality and policy-makers interested in reducing it. Merging two datasets both new to the literature, I address this gap in the causal literature by using an instrumental variables strategy to examine the impact of evictions on household income over time in Durham, North Carolina. Exploiting gentrification-related evictions as an instrument, I find a 2.5% decrease in household income after eviction. This is a small, but significant decrease in income given that median household income for households at time of eviction is about $15,000.
Advisors: Professor Christopher Timmins, Professor Michelle Connolly | JEL Codes: I32, R29
