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Cover IMF Working Papers
Socio-Economic Spillovers from Special Economic Zones: Evidence from Cambodia
Mariya Brussevich

between the first and the last available years. Tboung Khmum province is not included in the CSES survey. 4 In Panel B, coefficient on the time trend is negative and, given that the average length of the post-treatment period is about four years, the total size of the SEZ effect on female employment is attenuated to about 2 percentage points. Negative growth effect, however, is not robust to other specifications in Table 2 and Section 7. 5 Specification in Panel B shows that entry of SEZs is associated with about 4.6 percent decline in income inequality

Keywords:
WP; SEZ program; SEZ entry; SEZ firm; program participation; SEZ district; SEZ location; Employment; Wages; Income; Income inequality; Labor markets; SEZ effect; SEZ developer; SEZ trend; tagged SEZ database; SEZ program participation; SEZ intensity
Cover IMF Working Papers
Socio-Economic Spillovers from Special Economic Zones: Evidence from Cambodia
Mariya Brussevich
This study examines the socio-economic impact of special economic zones (SEZs) in Cambodia---a prominent place-based policy established in 2005. The paper employs a database on existing and future SEZs in Cambodia with matched household surveys at the district level and documents stylized facts on SEZs in a low-income country setting. To identify causal effects of the SEZ program, the paper (i) constructs an alternative control group including future SEZ program participants and districts adjacent to SEZ hosts; and (ii) employs a propensity score weighting technique. The study finds that entry of SEZs disproportionately benefits female workers and leads to a decline of income inequality at a district level. However, the findings also suggest that land values in SEZ districts tend to rise while wage levels remain largely unchanged relative to other districts. In addition, the paper tests for socio-economic spillovers to surrounding areas and for agglomeration effects associated with clusters of multiple SEZs.
Keywords:
WP; SEZ program; SEZ entry; SEZ firm; program participation; SEZ district; SEZ location; Employment; Wages; Income; Income inequality; Labor markets; Special Economic Zones; Place-Based Policy; Low-Income Country; Foreign Direct Investment; SEZ effect; SEZ developer; SEZ trend; tagged SEZ database; SEZ program participation; SEZ intensity; propensity score weighting technique; Policy implication; impact of special economic zones; Women