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research
Innovation, International Trade, and Structural Change
Abstract
Traditional theories of structural transformation fail to account for the disparities between employment and value added shares, which poses a significant puzzle. To address this issue, I propose a Schumpeterian framework, incorporating technological innovation and trade at the sector level. This framework makes distinct predictions regarding employment and value added shares. In a closed economy, the model establishes an equilibrium where the share of value added equals the share of employment. However, when a country opens up to trade and achieves a monopoly through innovation in a specific sector, it results in higher profits and greater value added relative to employment in that sector. Consequently, the share of value added increases more rapidly than the share of labor. Conversely, in sectors where the country lacks global monopolistic control, the share of value added diminishes due to lower profits for intermediate good producers, resulting in a value added share that is lower than the employment share.Financial Development, Globalization, and Structural Transformation in Developing Countries
Presentations : UQAM internal seminars, 2023 Canadian Economic Association, 18th CIREQ Ph.D. Students’ Conference, and Quebec Social Sciences PhD Students Presentations.
Abstract
Rodrik (2016) pointed out that late industrializing countries are experiencing a lower peak at lower income levels in the manufacturing employment share hump-shaped path. The present study develops a theoretical model to analyze the dynamics of industrialization and deindustrialization in developing countries and their integration with earlier industrialized economies. The findings suggest that financial development plays a crucial role in both accelerating industrialization and facilitating deindustrialization. Moreover, the model reveals that when developing countries integrate with economies in deindustrialization, the technological frontier in the manufacturing sector becomes relatively further ahead compared to the services sector. This discrepancy in technological proximity between sectors influences the differential productivity growth rates in manufacturing and services, driving an early shift towards the services sector. The model is calibrated to South African data from 1960 to 2010 and provides empirical support for these findings.Financial Development, Technology Adoption, and Sectoral Productivity Convergence
Job Market Paper
Presentations:University of Northern British Columbia, Calvin University, 2024 Graduate Student Conference of ESG-UQAM (Winner), 2022 Bank of Canada Graduate Student Paper Award Workshop, 2022 African Econometric Society, 56th Annual Canadian Economics Association Meetings, and 17th CIREQ Ph.D. Students’ Conference
Presentations:University of Northern British Columbia, Calvin University, 2024 Graduate Student Conference of ESG-UQAM (Winner), 2022 Bank of Canada Graduate Student Paper Award Workshop, 2022 African Econometric Society, 56th Annual Canadian Economics Association Meetings, and 17th CIREQ Ph.D. Students’ Conference
Abstract
I document notable differences in convergence speed across sectors and construct an endogenous growth model to elucidate the reasons behind these observed discrepancies. The model categorizes countries into three groups based on their levels of financial institutions and aggregate productivity. Initially, the first group, characterized by low aggregate productivity and weak financial institutions, experiences sectoral productivity divergence but eventually catches up with the second group. The second group demonstrates moderate levels of aggregate productivity and financial institutions, showcasing conditional convergence. On the other hand, the third group, characterized by high aggregate productivity and strong financial institutions, experiences unconditional convergence towards higher sectoral productivity. The model also suggests that convergence in sectors with faster growth rates at the technological frontier occurs at a later stage. Empirical evidence from the World Development Indicators dataset spanning 29 years and covering over 150 countries supports these and other predictions.teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
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Teaching experience 2
Workshop, University 1, Department, 2015
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