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About
President
Governance
Partner Institutions
Visit
People
Management
Faculty
Postdocs
Visiting Scholars
Administration
Academic Support
Research
Research Groups
Courses
Seminars
Join Us
Faculty
Postdocs
Students
Events
Conferences
Workshops
Forum
Life @ BIMSA
Accommodation
Transportation
Facilities
Tour
News
News
Announcement
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Qiuzhen College, Tsinghua University
Yau Mathematical Sciences Center, Tsinghua University (YMSC)
Tsinghua Sanya International  Mathematics Forum (TSIMF)
Shanghai Institute for Mathematics and  Interdisciplinary Sciences (SIMIS)
Hetao Institute of Mathematics and Interdisciplinary Sciences
BIMSA > BIMSA Digital Economy Lab Seminar Intersectoral Distortions, Endogenous Production Networks and Structural Change
Intersectoral Distortions, Endogenous Production Networks and Structural Change
Organizers
Ruize Gao , Liyan Han , Zhen Li , Fei Long , Dongbo Shi , Ke Tang , Li Wan , Qi Zhang
Speaker
Runsheng Wang
Time
Friday, December 26, 2025 3:00 PM - 4:00 PM
Venue
A3-2-303
Online
Zoom 435 529 7909 (BIMSA)
Abstract
This paper investigates the role of endogenous production network evolution in driving structural transformation. We develop a multi-sector general equilibrium framework with endogenous input-output linkages, where firms make “make-or-buy” decisions subject to sector-specific intersectoral trade frictions. Quantifying the model using U.S. data from 1960 to 2021, we document that the service sector experienced a significantly faster decline in distortions compared to manufacturing, leading to increased network density and centrality for services. The calibrated model accounts for 82.9% of the observed increase in the service sector's value-added share relative to manufacturing. Counterfactual analyses reveal that evolving intersectoral frictions are a primary driver of structural change; holding these frictions constant, the model generates only 43.3% of the observed shift. These findings highlight that endogenous network reconstruction, driven by asymmetric friction reductions, is a distinct and quantitative significant mechanism behind the rise of the service sector.
Beijing Institute of Mathematical Sciences and Applications
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