Investigating the Impact of Chinese Financing on Productivity in the African Continent
By Kedest Mathewos
Given that productivity is a key component of long-term economic growth and that China has become an important source of external financing in Africa, this study aims to investigate the impact of Chinese foreign direct investment and government-to-government loans on productivity. Using a panel of the top fourteen African recipients of Chinese financing during the period 2003-2017, this study employs a two-stage regression process. The first relies on the use of a revised version of the Solow Model that accounts for human capital, natural resource accumulation and country-specific heterogeneity, to generate values of total factor productivity. The second examines the impact of Chinese financing on this generated measure of productivity. After taking into account significant confounding variables such as institutional quality, trade openness and manufacturing value-added, this study finds that Chinese foreign direct investment (FDI) has a significant negative impact on productivity while Chinese government loans are positively associated with productivity. However, consistent with the literature, the impact of Chinese FDI depends on the country’s absorptive capacity – proxied here by the level of human capital accumulation. Therefore, as African countries seek to boost productivity levels, they should continue to attract Chinese government loans while enhancing their FDI absorptive capacity.
Advisors: Professor Lori Leachman, Professor Grace Kim, Professor Kent Kimbrough| JEL Codes: O4, O47, F21
What Fosters Innovation? A CrossSectional Panel Approach to Assessing the Impact of Cross Border Investment and Globalization on Patenting Across Global Economies
By Michael Dessau and Nicholas Vega
This study considers the impact of foreign direct investment (FDI) on innovation in high income, uppermiddle income and lowermiddle income countries. Innovation matters because it is a critical factor for economic growth. In a panel setting, this study assesses the degree to which FDI functions as a vehicle for innovation as proxied by scaled local resident patent applications. This study considers research and development (R&D), domestic savings, imports and exports, and quality of governance as factors which could also impact the effectiveness of FDI on innovation. Our results suggest FDI is most effective as inward direct investment in countries outside the technological frontier possessing adequate existing domestic investment capital and R&D spending to convert foreign investment capital and technological spillover into innovation. Nonetheless, FDI was not a consistent indicator for innovation; rather, the most consistent indicators across this study were R&D and domestic savings. Differences amongst income groups are highlighted as well as their varying responses to our array of causal factors.
Advisor: Lori Leachman | JEL Codes: A10, B22, C82, E00, E02, O10, O11, O30, O31, O32, O33, O34, O43
Inflation Volatility and Economic Growth: A Disaggregated Analysis
By Nicholas Becker
Inflation volatility has been theorized to negatively affect real economic growth, but empirical analyses have returned somewhat mixed results. Constructing my own dataset of household group inflation rates by disaggregating and linking Consumer Expenditure Survey data with Consumer Price Index data, I analyze inflation volatility and economic growth from the ground-up. Calculating inflation volatility using a moving-window methodology, I find: 1) significant heterogeneity of inflation volatility across household groups; 2) a negative correlation between inflation volatility and economic growth from 2000-2012 for all household groups, with a stronger negative correlation at lower income levels; 3) a positive correlation between volatility and growth during expansions and a negative correlation between volatility and growth during recessions. Results suggest reducing inflation volatility and refining policymaking to account for the heterogeneity of inflation volatility could improve growth over the longrun. Further analysis is warranted.
Advisor: Nir Jaimovich | JEL Codes: E31, E32, O40 | Tagged: Inflation, Economic Growth
Faith in the Future and Social Conflict: Economic Growth as a Mechanism for Political Stabilization
By Alexander Bloedel
This paper studies the mechanisms that link sociopolitical conflict and (expectations about) economic prosperity. Motivated by a large body of empirical and historical work on the correlation between economic development and democratization, I develop a game-theoretic model of economic growth with political economy constraints. In an economy where low income agents are credit constrained, rapid and robust economic growth leads to increasing inequality early on, but provides the means to mitigate civil conflict when inequality becomes suciently large. The rate and persistence of growth similarly determines the stability of extant political institutions and the ability to transition from dictatorship to democracy.
Advisor: Curtis Taylor | JEL Codes: D72, D74, O11, O43 | Tagged: Civil Conflict, Economic Growth, Expectations, Political Economy
After the Storm Impacts of natural disasters in the United States at the state and county level
By Danjie Fang
Empirical research on the impact of natural disasters on economic growth has provided contradictory results and few studies have focused on the United States. In this thesis, I bridge the gap by examining the merits of existing claims on the relationship between natural disasters and growth at the states and county level in the U.S. I find that climatological and geophysical disasters have a small and negative impact on growth rates at the state level, but that this impact disappears over time. At the county level, I find that tornados have a slight but negative impact on per capita GDP levels and growth rates over a five year period across three states that experience this natural phenomenon. Controlling for FEMA aid, I find that there may be upward omitted variable bias in regressions that do not include the amount of aid as a variable. I find evidence that FEMA aid has a small but positive impact on growth and per capita GDP levels at both the county and state level.
Advisor: Christopher Timmins, Michelle Connolly | JEL Codes: O11, O40, Q58 | Tagged: Aid, County, FEMA, Natural Disasters, State, United States
