Understanding beef-ban, prohibition and prostitution in India through repugnant market theory
Bans are not always effective as we know. Gujarat's prohibition has given rise to a thriving black market for liquor, whereas the ban on prostitution has held up relatively well in India with only a small steady state black market that has not grown bigger. Selling and consumption of beef on the other hand, where banned, has been effective to a large extent - to the detriment of the health of cattle and leather industry - as was witnessed during recent ban on cow slaughter in Uttar Pradesh.
Bans are blunt instruments. It is necessary for a policymaker to study the effects from the prism of effectiveness of achieving policy objectives of a ban, over the negative externalities, and also lack of effectiveness arising due to administration issues. It is not that a stiffer punishment would automatically lead to desired outcome. To cite an extreme example, rape in India attracts imprisonment of 7 to 10 years. Murder attracts life term or hanging. If the punishment of rape is increased to life term or hanging, as was being mooted in media for cases of child rape, it might lead to adverse result where the rapist kills the victim as the punishment doesn't increase by the additional act of murder, whereas the killing of victim may eliminate the witness!
Such analysis may be grown rigorously. An interesting recent paper tackles such questions from a game theory point of view for market of repugnant transactions. Co-written by the noble prize winning author Alvin Roth of Stanford, it tries to measure repugnancy along two dimensions of extent and intensity and tries to predict the outcome of banned activities with certain assumptions on initial conditions and progress. In the words of the paper:
This paper proposes a simple, stylized theoretical model to help understand why some transactions can be effectively eliminated by legally banning them, while others are more resistant, to the point that they may be impossible to extinguish or even suppress to low levels, so that it might be wise to consider different goals for dealing with them.
The paper takes the example of drug market to develop the analysis. However, the results generally hold good across various examples including prostitution, banned meat trade and so on. An interesting result along the way is that the existence of a market before banning plays a role in the effectiveness of the ban subsequently. In the words of the authors:
...Before beginning the analysis, consider how policy makers could have some control over the initial states. One example would be the regulation of synthetic drugs. When a new synthetic drug becomes available, it takes time before it can be banned. The number of users it attracts before it is banned may be an important factor for the prospects of extinguishing the market. So the speed of initial regulation may be consequential, and there may be markets that could be successfully prevented only by prompt action, and not when they have become well established...
I quote some of the analysis and results below:
Bans are blunt instruments. It is necessary for a policymaker to study the effects from the prism of effectiveness of achieving policy objectives of a ban, over the negative externalities, and also lack of effectiveness arising due to administration issues. It is not that a stiffer punishment would automatically lead to desired outcome. To cite an extreme example, rape in India attracts imprisonment of 7 to 10 years. Murder attracts life term or hanging. If the punishment of rape is increased to life term or hanging, as was being mooted in media for cases of child rape, it might lead to adverse result where the rapist kills the victim as the punishment doesn't increase by the additional act of murder, whereas the killing of victim may eliminate the witness!
Such analysis may be grown rigorously. An interesting recent paper tackles such questions from a game theory point of view for market of repugnant transactions. Co-written by the noble prize winning author Alvin Roth of Stanford, it tries to measure repugnancy along two dimensions of extent and intensity and tries to predict the outcome of banned activities with certain assumptions on initial conditions and progress. In the words of the paper:
This paper proposes a simple, stylized theoretical model to help understand why some transactions can be effectively eliminated by legally banning them, while others are more resistant, to the point that they may be impossible to extinguish or even suppress to low levels, so that it might be wise to consider different goals for dealing with them.
The paper takes the example of drug market to develop the analysis. However, the results generally hold good across various examples including prostitution, banned meat trade and so on. An interesting result along the way is that the existence of a market before banning plays a role in the effectiveness of the ban subsequently. In the words of the authors:
...Before beginning the analysis, consider how policy makers could have some control over the initial states. One example would be the regulation of synthetic drugs. When a new synthetic drug becomes available, it takes time before it can be banned. The number of users it attracts before it is banned may be an important factor for the prospects of extinguishing the market. So the speed of initial regulation may be consequential, and there may be markets that could be successfully prevented only by prompt action, and not when they have become well established...
I quote some of the analysis and results below:
...if the market is insufficiently repugnant in extent or intensity, even substantial legal penalties “on the books” may be insufficient to deter participation if those penalties cannot gain enough social support to be reliably enforced. Note also that if the feasible punishment is not too large, and if the extent of repugnance among the population is low, then even the maximum intensity of repugnance among those who wish to ban the market may be insufficient to control the blackmarket. And as an illegal market becomes larger, it becomes more likely that those who wish to participate in it can do so without encountering those who would penalize them. Consequently, black markets that have operated successfully for a long time become increasingly hard to eliminate if the underlying social parameters and legal punishments cannot be changed.
But changing social repugnance, and even increasing legal punishments in an ef- fective way, may be difficult. Policy makers may be able to influence the extent or intensity of repugnance by education and public relations. But because legislators don’t have easy or direct access to who feels how much repugnance, this is not likely to be anywhere near as easy as passing legislation. At the very least, chang- ing widespread attitudes takes time. And increasing mandated punishments beyond what social repugnance will support can be counterproductive if it makes citizens less likely to report illegal transactions and juries less likely to convict. So we may never be able to completely eliminate some markets, despite the fact that they cause considerable harm. Hence harm reduction should be in our portfolio of design tools for dealing with repugnant markets that we can’t extinguish despite the harm they may do.
Therein lies the lesson for a policymaker.
Therein lies the lesson for a policymaker.
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