Collaborative Research: Measurement and Modeling Changes in the Quality and Productivity of Chinese Exports

该奖项资助国际贸易和制造业企业之间竞争的实证研究。 PI将联合收割机两个现有的数据源，创建一个数据集，数据的中国制造业企业从2000年至2006年。 数据将包括所有权类型、生产、财务/资产负债表结果、进出口交易价值和进出口交易数量等信息。 数据集将用于做两件不同的事情。 首先，他们将研究企业生产率，投资，出口销售和价格之间的关系，在一系列的“目的地”（如，非中国）市场。 其次，PI将使用这些数据来估计企业需求、定价和出口供应的结构模型。 为了做到这一点，他们将开发一个模型框架，结合需求方和生产方的公司层面的异质性。第三，他们将评估企业研发和资本投资的动态结构模型，以研究质量升级和生产率提高作为中国在出口市场上取得成功的源泉的重要性。 最后，利用完整的模型，研究贸易自由化等市场条件的变化对出口、投资和企业绩效的影响，并通过理解制造业企业成功出口的原因，对经济政策提出新的见解。

This award funds empirical research on international trade and competition between manufacturing firms. The PIs will combine two existing data sources to create a dataset with data on Chinese manufacturing firms from 2000 - 2006. The data will include information on ownership type, production, financial/balance sheet results, value of import/export transactions and quantity of import/export transactions. The data set will be used to do two different things. First they will study the relationship between firm productivity, investments, and export sales and prices across a range of 'destination' (eg, non-Chinese) markets. Second, the PIs will use the data to estimate a structural model of firm demand, pricing and export supply. To do this, they will develop a modeling framework that incorporates both demand side and production side firm level heterogeneity. Third, they will estimate a dynamic structural model of firm investment in R&D and capital to study the importance of quality upgrades and productivity improvement as sources of Chinese success in export markets. Finally, they will use the full model to study the effect of possible changes in market conditions such as trade liberalization on exports, investments, and firm performance.Broader impacts include new insight for economic policy by understanding the causes that make some manufacturing firms successful exporters.