Shocks to food market systems: A network approach
将误差修正模型与网络方法结合，分析跨境价格冲击如何传导至坦桑尼亚国内食品市场，发现达累斯萨拉姆并非主要影响源，需求冲击主要来自边境市场，且市场联系随季节和商品变化。
Abstract In order to better understand how cross‐border price shocks are transmitted to domestic food markets, we augment an error correction model with a network approach and apply it to Tanzania. We show the following. First, Dar es Salaam, Tanzania's largest city and port, is not a significant influence. Second, demand shocks emanate primarily from border markets that may serve as conduits for informal trade. Third, market linkages differ considerably across seasons and commodities. Fourth, prices in areas with high production potential are especially sensitive to systemic shocks. More broadly, we show that a network approach in conjunction with time series analysis can enhance our understanding of the origins and channels through which shocks are transmitted to food markets.