标题： 量化中国的区域经济复杂性 显示英文标题

标题： Quantifying China's Regional Economic Complexity

摘要： 中国在过去几十年间经历了显著的经济增长，然而，关于揭示中国地区经济发展的非货币指标的文献仍然匮乏。本文通过分析25年的企业数据填补了这一空白，量化了中国各省份的经济复杂性。 首先，我们估算了区域经济复杂性指数（ECI），结果显示各省ECI的整体时间演变相对稳定且缓慢。接着，在将ECI与经济发展和收入不平等联系起来后，我们发现ECI对前者具有正向解释力，而对后者则具有负向解释力。 随后，我们比较了不同形式的经济多样性衡量方法，并探讨了它们与货币宏观经济指标之间的关系。结果显示，ECI指数和基于非线性迭代的Fit指数具有可比性，两者都比其他基准指标具有更强的解释力。进一步的多元回归分析表明，在控制其他社会经济因素后，我们的结果依然稳健。 本研究为进一步理解中国的区域经济发展以及非货币宏观经济指标迈出了重要一步。 显示英文摘要

摘要： China has experienced an outstanding economic expansion during the past decades, however, literature on non-monetary metrics that reveal the status of China's regional economic development are still lacking. In this paper, we fill this gap by quantifying the economic complexity of China's provinces through analyzing 25 years' firm data. First, we estimate the regional economic complexity index (ECI), and show that the overall time evolution of provinces' ECI is relatively stable and slow. Then, after linking ECI to the economic development and the income inequality, we find that the explanatory power of ECI is positive for the former but negative for the latter. Next, we compare different measures of economic diversity and explore their relationships with monetary macroeconomic indicators. Results show that the ECI index and the non-linear iteration based Fitness index are comparative, and they both have stronger explanatory power than other benchmark measures. Further multivariate regressions suggest the robustness of our results after controlling other socioeconomic factors. Our work moves forward a step towards better understanding China's regional economic development and non-monetary macroeconomic indicators.