Does Legalization Reduce Black Market Activity? Evidence from a Global Ivory Experiment and Elephant Poaching Data

Working Paper: NBER ID: w22314

Authors: Solomon Hsiang; Nitin Sekar

Abstract: Black markets are estimated to represent a fifth of global economic activity, but their response to policy is poorly understood because participants systematically hide their actions. It is widely hypothesized that relaxing trade bans in illegal goods allows legal supplies to competitively displace illegal supplies, but a richer economic theory provides more ambiguous predictions. Here we evaluate the first major global legalization experiment in an internationally banned market, where a monitoring system established before the experiment enables us to observe the behavior of illegal suppliers before and after. International trade of ivory was banned in 1989, with global elephant poaching data collected by field researchers since 2003. A one-time legal sale of ivory stocks to China and Japan in 2008 was designed as an experiment, but its global impact has not been evaluated. We find that international announcement of the legal ivory sale corresponds with an abrupt ~66% increase in illegal ivory production across two continents, and a possible ten-fold increase in its trend. An estimated ~71% increase in ivory smuggling out of Africa corroborates this finding, while corresponding patterns are absent from natural elephant mortality, Chinese purchases of other precious materials, poaching of other species, and alternative explanatory variables. These data suggest the widely documented recent increase in elephant poaching likely originated with the legal sale. More generally, these results suggest that changes to producer costs and/or consumer demand induced by legal sales can have larger effects than displacement of illegal production in some global black markets, implying that partial legalization of banned goods does not necessarily reduce black market activity.

Keywords: Legalization; Black Market; Ivory Trade; Poaching; Causal Inference

JEL Codes: F18; F55; K42; O13; O17; Q2


Causal Claims Network Graph

Edges that are evidenced by causal inference methods are in orange, and the rest are in light blue.


Causal Claims

CauseEffect
Increase in illegal ivory production (K42)Increase in elephant poaching (Q57)
Legal sale announcement in 2008 (K29)Competitive displacement of illegal supply (K42)
Legal sale announcement in 2008 (K29)Greater increases in illegal production than previously assumed (K42)
Legal sale announcement in 2008 (K29)Increase in illegal ivory production (K42)
Legal sale announcement in 2008 (K29)Increase in ivory smuggling out of Africa (F69)
Legal sale announcement in 2008 (K29)Changes in poaching rates (Q26)

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