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国际金融学院青年学者双周论坛(第10期)

稿件来源:国际金融学院 | 作者:ISBF | 发布日期:2017-12-29

报告人:李婷婷 副教授
主题:Genetic Diversity and Economic Development: Evidence from Chinese Provinces
时间:2018年1月3日(星期三,10:00-12:00)
地点:珠海校区行政楼国际金融学院915会议室

报告简介:
        In the search for the explanation for economic development, instead of the well-known ‘proximate’ causes (e.g., labor, capital, resources, etc.), recent literature has turned its attention to ‘deep’ causes, such as the profound influence of institutional, cultural, historical and geographical factors. Another contemporary pattern strand within this literature is to study the patterns of culture through the lenses of genetic information of the population (Asfraf-Galor (2013),  Putterman-Weil (2010), Spolaore-Wacziarg (2009), Guiso-Sapienza-Zingales (2009), among others).  Empirically, they found, genetic information is a robust predictors of important economic activities. The explanation for this contemporary strand is genetic information of the population is a proxy for other persistent immeasurable factors that can drive an economy, such as culture and history. 
This paper will examine the genetic patterns among Chinese provinces and on whether they could be good predictors for the diverse provincial prosperity, a la Asfraf-Galor (2013). China is a good test case because she is more a political entity, has a larger geographic area and a larger population, than, say Europe or sub-Saharan Africa.
Asfraf-Galor (2013) argued that genetic diversity has two offsetting impact on prosperity. On the one hand, genetic diversity lowers the trust among the people, which weaken collective actions. But, on the other hand, genetic diversity, with a variety of different ideas and ability, is conducive to productivity and innovative activities. Asfraf-Galor found a hump-shaped relationship between genetic diversity and prosperity. The present paper finds only a strong negative relationship between genetic diversity and prosperity exists among Chinese provinces (via lower trust relationship). Hence, only part of Ashraf-Galor’s predictions is supported.  Several conjectures for this different result are offered in the paper.

报告人简介:
        李婷婷,毕业于香港城市大学商学院经济与金融系(与中国科学技术大学联培),获哲学博士学位(经济学专业)。现为中山大学国际金融学院副教授、硕士生导师。研究方向为经济增长与发展、计量经济学、环境经济学和应用经济学。在《International Review of Economics & Finance》、《China Economic Review》、《Pacific Economic Review》、《Economic Systems》和《Emerging Markets Finance and Trade》等英文期刊担任审稿人。