Flattening governments, flattening growth: Equalization–efficiency trade-off in jurisdictional reform
Flattening government hierarchies not only reduces organizational layers but also restructures fiscal capacity, reshaping both local growth incentives and regional redistribution. This paper identifies a fundamental trade-off: while flattening promotes equalization across regions, it simultaneously undermines economic efficiency at the local level. We develop a multi-tier government model showing that reallocating fiscal authority upward enlarges common revenue pools, which enhance redistribution but dilute local governments’ incentives to foster growth. Empirically, we exploit China’s staggered Province-Managing-County (PMC) reform as a quasi-natural experiment and apply a stacked difference-in-differences strategy to county-level panel data from 2000 to 2007. We find that the PMC reform significantly reduced intra-provincial inequality—measured by Gini, Theil, and related indices—but concurrently lowered county GDP per capita. Reductions in physical investment and firm-level productivity, rather than shifts in labor input, drove the efficiency loss. Heterogeneity analysis reveals that provinces with stronger fiscal pooling (higher VAT-sharing ratios) and broader administrative spans experienced a more severe equalization–efficiency trade-off. Our findings extend fiscal federalism and organizational structure theories by showing how hierarchy flattening and fiscal pooling jointly shape the balance between redistribution and local economic performance.
Authors
- Shawn Xiaoguang Chen (ORCID: https://orcid.org/0000-0002-4611-9061)
- Pei Li (ORCID: https://orcid.org/0000-0001-9547-7589)
- S Y Sun (ORCID: https://orcid.org/0000-0002-1344-4183)
Institutions
- The University of Western Australia (AU)
- Zhejiang University (CN)
Publication Details
- Journal
- Journal of Urban Economics
- Published
- 2026-06-09
- DOI
- https://doi.org/10.1016/j.jue.2026.103885
- Citations
- 1
- Primary Topic
- China's Socioeconomic Reforms and Governance
- Type
- article
- Field-Weighted Citation Impact
- 39.74
Funders
- National Natural Science Foundation of China