别搭我的便车:中国农业地理标志与企业出口质量

IF 4 3区 经济学 Q1 AGRICULTURAL ECONOMICS & POLICY
Haiou Mao, Holger Görg
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引用次数: 0

摘要

地理标志在发展中国家是一项新兴的政策,但在现有文献中相对被忽视。本文研究了中国农业地理标志及其对企业出口的影响。根据地理标志的地理覆盖范围和产品类型,我们将新授权的地理标志与企业-产品-地点-目的地层面的海关贸易数据联系起来,估计这些新地理标志对企业出口的影响。重要的是,我们可以区分地理标志是否有质量监督。对于后者,我们发现对出口质量的负面影响,而对于有质量监督的地理标志则不是这样。在我们的理论框架背景下,我们将此解释为质量搭便车的证据,其中个别公司有降低出口产品质量的动机。我们表明,当一个行业越集中,或者某个特定产品的地理标志越多时,这种负面影响就越小。此外,我们的研究结果表明,中欧地理标志协定可以发挥质量监督的作用,防止搭便车的可能性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Don't take me for a free-ride: Chinese Agricultural Geographical Indications and firms' export quality

Don't take me for a free-ride: Chinese Agricultural Geographical Indications and firms' export quality

Geographical Indication (GI) is a rising policy in developing countries, which has been relatively neglected in the existing literature. This article studies Chinese agricultural GIs and its impact on firms’ exports. By relating newly authorized GIs with firm-product-location-destination level customs trade data according to GIs’ geographical coverage and product type, we estimate the impact of these new GIs on firm's exports. Importantly, we can distinguish GIs with and without quality supervision. For the latter we find negative impacts on export quality, which is not the case for GIs with quality supervision. We interpret this in the context of our theoretical framework as evidence for quality free-riding, where individual firms have an incentive to lower the quality of the export product. We show that this negative effect is less, the more concentrated an industry is or the more GIs there are for a particular product. Furthermore, our results suggest that the China-EU agreement on Geographical Indications may play the role of quality supervision and prevent the possibility of free-riding.

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来源期刊
Agricultural Economics
Agricultural Economics 管理科学-农业经济与政策
CiteScore
7.30
自引率
4.90%
发文量
62
审稿时长
3 months
期刊介绍: Agricultural Economics aims to disseminate the most important research results and policy analyses in our discipline, from all regions of the world. Topical coverage ranges from consumption and nutrition to land use and the environment, at every scale of analysis from households to markets and the macro-economy. Applicable methodologies include econometric estimation and statistical hypothesis testing, optimization and simulation models, descriptive reviews and policy analyses. We particularly encourage submission of empirical work that can be replicated and tested by others.
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