S1 Data - Enhancing Sustainable Agricultural Export Performance through Digitalization.xlsx

This study employs three explained variables—Domestic Value-Added in Exports (DVA), Gross Exports (E), and the Ratio of Domestic Value-Added in Exports to Gross Exports (EDVAR)—to evaluate agricultural export performance. All raw data are sourced from the OECD Activities of Multinational Enterprises Inter-Country Input–Output (AMNE ICIO) Database. For the explanatory variables, following the ISIC Rev. 4.0 classification, industries C26 and J58T63 are identified as digitalization input sectors, encompassing telecommunications equipment and services, computer software and hardware, publishing, and digital media. Using the OECD AMNE ICIO Database, we compute both the domestic and foreign digitalization input levels for the agricultural sector in each country. The control variables include: (1) Agricultural Global Value Chain (GVC) Position (GP), measured as the ratio of forward to backward participation in agricultural GVCs, calculated from the OECD AMNE ICIO Database; (2) Technological Level (te), measured by the share of medium- and high-tech exports in total manufactured exports, obtained from the World Bank database; (3) Institutional Quality (rq), measured using the regulatory quality index from the Rule of Law database; (4) Human Capital (hc), measured by the human capital index from the Penn World Table, version 10.01; and (5) Land Resources (lr), measured as the proportion of arable land, sourced from the World Bank database.The study covers the period from 2000 to 2019, comprising 20 years of data, with a total sample of 1,480 observations.