LEO - Séminaires doctorants

Rise of China’s National Sword: Evaluating its impact on Chinese waste imports

Date : Jeudi | 2025-01-23 à 12h30
Lieu : Salle des thèses

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Saniya ALI ZAHED (LEO, Université d’Orléans)

This paper analyzes the impact of China's National Sword policy introduced in 2018 on its import flows, particularly on waste imports. Our analysis scrutinizes the heterogeneity of the policy's impact across products, time, and exporters. We also explore other moderating factors including income levels, relative environmental stringency, and geopolitics that could have influenced the effectiveness of this policy. To conduct our analysis, we use HS6 product-level trade data from CEPII BACI from 1996 to 2022 for 213 exporting partners to China. We estimate a gravity model using Poisson Pseudo Maximum Likelihood (PPML) with high-dimensioned fixed effects. Our findings indicate that the National Sword policy declined China's imports in quantities by 115.0%, with banned products reduced by 219.6% and products subject to quality controls by 102.9%. The results also indicate a high level of heterogeneity in the impact across the income levels, exporters, and waste products addressed in the National Sword.

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Compliance in fishing regulations: a Social Norms perspective in Ghana

Date : Jeudi | 2024-01-09 à 12h30
Lieu : Salle des thèses

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Zélie GANKON SIEYADJEU (Université Paris Dauphine-PSL/Chaire Economie du Climat/Université Mohammed VI Polytechnique)

Compliance with environmental regulations relies on a nuanced understanding of both formal incentives and informal social motivations. This paper explores the effect of social and moral norms on individuals’ decisions to engage in illegal fishing activities. We develop a theoretical model that incorporates social norms and peer effects to assess the utility derived from these choices, revealing an equilibrium where only half of the individuals adhere to regulations. We then present a discrete choice model to empirically investigate the effect of these drivers on illegal fishing behaviour. A Hybrid Choice Model is specified, featuring a latent variable that captures fishing-related social norms. Using data collected in 2020 from a fishing community in Ghana, encompassing 410 fishermen, their households, and various fishing practices—including the illegal activity of Saiko fishing—we uncover key findings. Observable indicators, particularly fishermen’s perceptions of peer attitudes toward fishing bans, effectively capture the social norm. Furthermore, the fishing social norm significantly influences both fishermen's satisfaction and their decision to participate in illegal activities. Finally, we extend the analysis to the intensive margin, examining hours spent on Saiko retail and the productivity of participants. The latent score is found to be negatively associated with the intensity of Saiko retail, indicating that social norms impose a constraining effect even after the decision to engage in the activity has been made.

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