Decomposition and Driving Factors of Total Factor Productivity of Food Crops in the Yellow River Basin, China

Jianxu Liu, Xiaoqing Li, Yansong Li, Jirakom Sirisrisakulchai, Xuefei Kang, Jiande Cui
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Abstract

The urgency of enhancing agricultural productivity within the Yellow River Basin cannot be overstated, given its critical role in ensuring food security amidst the challenges posed by climate change, natural disasters, and the increasing demand for food crops. Utilizing panel data from nine provinces within the Yellow River Basin for the period 2001 to 2020, this study examines the temporal characteristics and spatial distribution of Total Factor Productivity (TFP) for key grain crops—namely wheat, corn, and soybean—through the application of the Malmquist index which can be decomposed through the DEA-Malmquist index methodology. The empirical results demonstrate that TFP growth rates for these crops have exhibited significant phase variations, with soybean recording the highest TFP growth rate in the basin. Additionally, this study underscores marked regional disparities in soybean productivity. TFP decomposition reveals that the primary drivers of TFP improvement across these crops are attributed to technical progress, with gains in overall technical efficiency largely due to scale efficiency enhancements, whereas pure technical efficiency has shown limited progress. Regional analysis indicates that Inner Mongolia leads in TFP growth for all crops, while Ningxia, Sichuan, and Shaanxi lag behind in wheat, corn, and soybean. Additionally, our analysis delineates natural disasters as a significant barrier to Total Factor Productivity (TFP), notably obstructing technological advancements in wheat cultivation. The investigation further reveals a positive relationship between regional per capita income and the growth of wheat TFP, in contrast to a negative relationship with the TFP growth of corn and soybeans. Moreover, investing in agriculture, forestry, water management, and road infrastructure supports the growth of wheat TFP, while urbanization levels pose constraints. Conclusively, an uptick in annual rural electricity usage, along with improved per capita postal and telecommunication services, exerts a favorable influence on TFP for corn and soybeans.
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中国黄河流域粮食作物全要素生产率的分解与驱动因素
在气候变化、自然灾害和粮食作物需求不断增长的挑战下,黄河流域在确保粮食安全方面发挥着至关重要的作用,因此提高黄河流域农业生产力的紧迫性无论怎样强调都不为过。本研究利用黄河流域九省 2001 年至 2020 年的面板数据,通过应用可通过 DEA-Malmquist 指数方法分解的 Malmquist 指数,研究了主要粮食作物(即小麦、玉米和大豆)全要素生产率(TFP)的时间特征和空间分布。实证结果表明,这些作物的全要素生产率增长率呈现出显著的阶段性变化,其中大豆的全要素生产率增长率在盆地中最高。此外,本研究还强调了大豆生产率的明显地区差异。全要素生产率分解显示,这些作物的全要素生产率提高的主要驱动因素是技术进步,总体技术效率的提高主要是由于规模效率的提高,而纯技术效率的提高有限。区域分析表明,内蒙古在所有作物的全要素生产率增长方面都处于领先地位,而宁夏、四川和陕西则在小麦、玉米和大豆方面落后。此外,我们的分析还发现,自然灾害是影响全要素生产率的一个重要障碍,特别是阻碍了小麦种植技术的进步。调查进一步揭示了地区人均收入与小麦全要素生产率增长之间的正相关关系,而与玉米和大豆全要素生产率增长之间的负相关关系。此外,对农业、林业、水资源管理和道路基础设施的投资支持了小麦全要素生产率的增长,而城市化水平则构成了制约因素。总之,农村年用电量的增加以及人均邮政和电信服务的改善,对玉米和大豆的全要素生产率产生了有利影响。
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