Abstract
The excessive growth of China’s agro-industrialization has led to super-industrialization of agriculture, which has negatively affected the image of the country in the world’s trade and industrial circles. Additionally, the involvement of administration and logistics is also considered to be crucial in this regard. Thus, the main purpose of this study is to determine the impacts of administration, logistics, and trade integration on agro-industrialization in China’s context. For this study, time series data were collected from 2000 to 2020 from World Development Indicators (WDI) and Food and Agriculture Organization (FAO), and long-run regression techniques were used for evaluation of the effects of agro-industrialization. The FMOLS and CCR models were used in addition to ADF unit root test, and diagnostic tests for serial correlation, homoscedasticity, and residual normality. The results obtained showed that EXP, GNI, IMP, and TRD have a significant impact on GVA. Different indicators representing administration, logistics, and trade integration, which were gross national income, the share of export, the share of imports, and the trade % of GDP, having a significant impact on gross value added in the context of agro-industrialization in China. This study provides both theoretical and practical implications.
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Tamar Papiashvili, Jie Shang, and Ali Raza have no competing interests to declare that are relevant to the content of this article. Vasilii Erokhin is an Associate Editor at the Journal of the Knowledge Economy.
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Papiashvili, T., Shang, J., Raza, A. et al. Hyper-industrialization of China’s Agricultural Sector: Effects of Administration, Logistics, and Trade Integration. J Knowl Econ (2024). https://doi.org/10.1007/s13132-024-01904-1
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DOI: https://doi.org/10.1007/s13132-024-01904-1