Climate-resilient Economic Development in Vietnam: Insights from a Dynamic General Equilibrium Analysis (DGE-CRED)
Andrej Drygalla, Katja Heinisch, Christoph Schult
IWH Technical Reports,
No. 1,
2024
Abstract
In a multi-sector and multi-region framework, this paper employs a dynamic general equilibrium model to analyze climate-resilient economic development (DGE-CRED) in Vietnam. We calibrate sector and region-specific damage functions and quantify climate variable impacts on productivity and capital formation for various shared socioeconomic pathways (SSPs 119, 245, and 585). Our results based on simulations and cost-benefit analyses reveal a projected 5 percent reduction in annual GDP by 2050 in the SSP 245 scenario. Adaptation measures for the dyke system are crucial to mitigate the consumption gap, but they alone cannot sufficiently address it. Climate-induced damages to agriculture and labor productivity are the primary drivers of consumption reductions, underscoring the need for focused adaptation measures in the agricultural sector and strategies to reduce labor intensity as vital policy considerations for Vietnam’s response to climate change.
Read article
Industry Mix, Local Labor Markets, and the Incidence of Trade Shocks
Steffen Müller, Jens Stegmaier, Moises Yi
Journal of Labor Economics,
No. 3,
2024
Abstract
We analyze how skill transferability and the local industry mix affect the adjustment costs of workers hit by a trade shock. Using German administrative data and novel measures of economic distance we construct an index of labor market absorptiveness that captures the degree to which workers from a particular industry are able to reallocate into other jobs. Among manufacturing workers, we find that the earnings loss associated with increased import exposure is much higher for those who live in the least absorptive regions. We conclude that the local industry composition plays an important role in the adjustment processes of workers.
Read article
Who Benefits from Place-based Policies? Evidence from Matched Employer-Employee Data
Philipp Grunau, Florian Hoffmann, Thomas Lemieux, Mirko Titze
IWH Discussion Papers,
No. 11,
2024
Abstract
We study the wage and employment effects of a German place-based policy using a research design that exploits conditionally exogenous EU-wide rules governing the program parameters at the regional level. The place-based program subsidizes investments to create jobs with a subsidy rate that varies across labor market regions. The analysis uses matched data on the universe of establishments and their employees, establishment-level panel data on program participation, and regional scores that generate spatial discontinuities in program eligibility and generosity. These rich data enable us to study the incidence of the place-based program on different groups of individuals. We find that the program helps establishments create jobs that disproportionately benefit younger and less-educated workers. Funded establishments increase their wages but, unlike employment, wage gains do not persist in the long run. Employment effects estimated at the local area level are slightly larger than establishment-level estimates, suggesting limited spillover effects. Using subsidy rates as an instrumental variable for actual subsidies indicates that it costs approximately EUR 25,000 to create a new job in the economically disadvantaged areas targeted by the program.
Read article
Flight to Safety: How Economic Downturns Affect Talent Flows to Startups
Shai B. Bernstein, Richard R. Townsend, Ting Xu
Review of Financial Studies,
No. 3,
2024
Abstract
Using proprietary data from AngelList Talent, we study how startup job seekers’ search and application behavior changed during the COVID-19 downturn. We find that workers shifted their searches and applications away from less-established startups and toward more-established ones, even within the same individual over time. At the firm level, this shift was not offset by an influx of new job seekers. Less-established startups experienced a relative decline in the quantity and quality of applications, ultimately affecting their hiring. Our findings uncover a flight-to-safety channel in the labor market that may amplify the procyclical nature of entrepreneurial activities.
Read article
Labor Market Power and Between-Firm Wage (In)Equality
Matthias Mertens
International Journal of Industrial Organization,
December
2023
Abstract
I study how labor market power affects firm wage differences using German manufacturing sector firm-level data (1995-2016). In past decades, labor market power increasingly moderated rising between-firm wage differences. This is because high-paying firms possess high and increasing labor market power and pay wages below competitive levels, whereas low-wage firms pay competitive or even above competitive wages. Over time, large, high-wage, high-productivity firms generate increasingly large labor market rents while charging comparably low product markups. This provides novel insights on why such top firms are profitable and successful. Using micro-aggregated data covering most economic sectors, I validate key results for multiple European countries.
Read article
Media Response
Media Response November 2024 IWH: Manchmal wäre der Schlussstrich die angemessenere Lösung in: TextilWirtschaft, 21.11.2024 IWH: Existenzgefahr Nun droht eine Pleitewelle in: DVZ…
See page
Alumni
IWH Alumni The IWH maintains contact with its former employees worldwide. We involve our alumni in our work and keep them informed, for example, with a newsletter. We also plan…
See page
Homepage
German economy in transition ‒ weak momentum, low potential growth The Joint Economic Forecast Project Group forecasts a 0.1% decline in Germany's gross domestic product in 2024.…
See page
Archive
Media Response Archive 2021 2020 2019 2018 2017 2016 December 2021 IWH: Ausblick auf Wirtschaftsjahr 2022 in Sachsen mit Bezug auf IWH-Prognose zu Ostdeutschland: "Warum Sachsens…
See page
People
People Doctoral Students PhD Representatives Alumni Supervisors Lecturers Coordinators Doctoral Students Afroza Alam (Supervisor: Reint Gropp ) Julian Andres Diaz Acosta…
See page