Professor Jikun Huang Attends the Symposium on “Applications of Big Data in Agricultural and Forestry Economic Management” and Delivers a Keynote Speech

Release date：2026/05/15　　Source： CCAP

On May 9, the symposium on “Applications of Big Data in Agricultural and Forestry Economic Management,” hosted by the College of Economics and Management at Fujian Agriculture and Forestry University, was held in Fuzhou. Renowned scholars, emerging young researchers, and faculty members and students from universities and research institutions across China attended the event.

During the keynote session, Jikun Huang, Dean of School of Advanced Agricultural Sciences and Dean of New Rural Development Institute at Peking University, delivered a keynote speech titled “Revisiting the ‘Localization’ Myth of Agricultural Machinery Service Markets: New Evidence from Big Data on Agricultural Machinery Operation Trajectories.”

Professor Huang pointed out that since the reform and opening-up period, under China’s basic national condition of “a large country with millions of smallholder farmers,” agricultural machinery socialized services have become an important pathway for small farmers to achieve agricultural mechanization. In recent years, with the rapid development of diverse service providers such as machinery owners, cooperatives, and service companies, China has established a relatively comprehensive agricultural machinery service system, in which cross-regional operation teams have emerged as a distinctive feature with Chinese characteristics.

Based on household survey data and satellite trajectory big data of agricultural machinery operations, Professor Huang emphasized that China’s agricultural machinery service market is not simply evolving toward “localization.” Instead, it is developing into a multi-level supply system characterized by “local services playing the leading role, complemented by cross-regional services.” In regions where local markets remain underdeveloped and machinery supply capacity is insufficient, cross-regional services continue to play an important role in grain harvesting. Looking ahead, he stressed the need to make full use of agricultural machinery trajectory big data to enhance machinery scheduling and market governance, thereby promoting a fair, open, collaborative, and efficient agricultural machinery service market system.