College of Economics and Management, Northwest A&F University, Shaanxi, China.
School of Rural Technology and Entrepreneurship Development Rano, Kano State Polytechnic, Kano, Nigeria.
PLoS One. 2022 Sep 9;17(9):e0274187. doi: 10.1371/journal.pone.0274187. eCollection 2022.
This paper aims to examine the key determinants and efficiency of China's agricultural exports with its 114 importing countries by applying the Stochastic Frontier Analysis (SFA) on an augmented gravity model for the period of 2000-2019. The Poisson Pseudo Maximum Likelihood (PPML) and the fixed effect models were also estimated simultaneously to confirm the robustness of our findings. The results reveal that China's economic size (GDP) and its importing countries, the Belt and Road Initiative (BRI), common border, and the Chinese language positively determine China's agricultural export flows. The results, on the other hand, also reveal that China's agricultural export is adversely influenced by the income (per capita GDP) of China and its trade partners, currency depreciation, distance, and landlocked. On an average account, China has untapped the potential of 51% in its agriculture export with the countries used in this study. We provide policy suggestions as part of our study.
本文旨在应用扩展引力模型的随机前沿分析（SFA），研究中国与 114 个进口国之间的农业出口的关键决定因素和效率。同时，还采用泊松伪极大似然（PPML）和固定效应模型进行估计，以验证研究结果的稳健性。结果表明，中国的经济规模（GDP）及其进口国、“一带一路”倡议（BRI）、共同边界和中文对中国的农业出口流动有积极的决定作用。另一方面，结果还表明，中国的农业出口受到中国及其贸易伙伴的收入（人均 GDP）、货币贬值、距离和内陆等因素的不利影响。平均而言，中国在与本研究中使用的国家进行农业出口方面还有 51%的潜力尚未开发。我们在研究中提出了一些政策建议。
