Agricultural economic complexity and regional inequalities: a new approach using census data from Brazil
将经济复杂度方法应用于巴西农业部门，利用人口普查数据构建农业复杂度指数，发现产品复杂度与生产率、教育、收入正相关，且区域复杂度与农业生产力呈倒U型关系。
The paper presents an original application of economic complexity to the agricultural sector aiming to determine its suitability to measure and depict regional structural inequalities across Brazilian regions. Using census data, we calculate agricultural complexity indexes for products (PCI-Agro) and regions (ECI-Agro) and the agricultural product space. We show that higher PCI-Agro is associated with higher levels of productivity, education, income and human development. Also, we found that ECI-Agro is associated with higher productivity in agriculture. The econometric evidence points to an inverted ‘U’-shape curve relationship between ECI-Agro and agricultural productivity, which has significant policy implications.