Regulatory and Union Evasion via Plant Splitting

In Simple Words

Think of a restaurant owner who wants to double seating capacity but knows that any single dining room with more than 50 chairs triggers strict state health inspections and mandatory union oversight. Instead of expanding the original restaurant, the owner opens a second small restaurant across town with 45 chairs, duplicating basic overhead to remain below legal enforcement thresholds.

Research question

Labor laws and regulatory enforcement in developing economies target individual plant thresholds rather than total firm size, creating structural incentives for expanding firms to open multiple small facilities instead of scaling existing plants.

Participants

113 large woven cotton fabric manufacturing firms (including 17 project firms and 96 nonproject industry firms) near Mumbai, India.

Study Design

Cross-sectional survey and panel regression measuring firm growth by plant count, loom count per plant, and employee count per plant under India's Factories Act (1947) and Industrial Disputes Act (1947).

Results

Treatment firms opened 0.259 more plants over 3+ years compared to the industry average of 0.120 plants, while showing no statistically significant change in employee count per plant (-1.28, SE 6.19) or loom count per plant (2.38, SE 3.24).

Takeaway

Structure enterprise expansion plans around building separate modular production facilities when operating in jurisdictions where labor laws and unionization rules apply on a per-facility basis.

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Plain-English glossary

Original explanations, informed by the references below. Examples are illustrations, not data from the studies above. The research text stays unchanged.

Statistically significant

A label used when a result passes a chosen statistical threshold, often p < 0.05. It does not show how large or useful an effect is. A result that is not statistically significant does not prove there is no effect.

ExampleA study reports p = 0.03 against a 0.05 threshold. It passes that test, but the effect could still be too small to matter.

American Statistical Association · Statement on p-values ↗Read more about statistically significant →

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