School of Economics and Management, Northeast Forestry University, Harbin 150040, China.
Ecological Civilization Construction and Green Development Think Tank of Heilongjiang Province, Harbin 150040, China.
Int J Environ Res Public Health. 2022 Jun 24;19(13):7746. doi: 10.3390/ijerph19137746.
As the most important driving force for ensuring the effective supply of grain in the country, the production stability of the major grain-producing areas directly concerns the national security of China. In this paper, considering the "water-soil-energy-carbon" correlation, water, soil and energy resource factors, and carbon emission constraints were included in an index system, and the global common frontier boundary three-stage super-efficient EBM-GML model was used to measure the grain production resource utilization efficiency of the major grain-producing areas in China from 2000 to 2019. This paper also analyzed the static and dynamic spatiotemporal characteristics and the restrictions of utilization efficiency. The results showed that, under the measurement of the traditional data envelopment analysis model, the grain production resource utilization efficiency in the major producing areas is relatively high, but there is still room to improve by more than 20%, and grain production still has enormous growth potential. After excluding external environmental and random factors, it was found that the utilization efficiency of grain production resources in the major producing areas decreased, and the efficiency and ranking of provinces changed significantly. External factors inhibit pure technical efficiency and expand the scale efficiency. The utilization efficiency of Northeast China was much higher than that of the Huang-Huai-Hai region and the middle and upper reaches of the Yangtze River region, and its grain production resource allocation management had obvious advantages. The total factor productivity index of food production resources showed an upward trend as a whole, and its change was affected by both technological efficiency and technological progress, of which technological progress had the greater impact. Therefore, reducing the differences in the external environment of different regions while making adjustments in accordance with their own potential is an effective way to further improve the utilization efficiency of food production resources.
作为保障国家粮食有效供给的最重要推动力,主产区粮食生产稳定直接关系到中国的国家安全。本文考虑“水-土-能-碳”关联关系,将水、土和能源资源因素以及碳排放约束纳入指标体系,运用全局共同前沿边界三阶段超效率 EBM-GML 模型测算了 2000—2019 年中国主产区粮食生产资源利用效率,并对静态和动态时空特征及利用效率的制约因素进行了分析。结果表明,在传统数据包络分析模型测算下,主产区粮食生产资源利用效率相对较高,但仍有超过 20%的提升空间,粮食生产仍具有巨大的增长潜力。剔除外部环境和随机因素后发现,主产区粮食生产资源利用效率降低,各省效率和排名变化显著,外部因素抑制纯技术效率并扩大规模效率,东北粮食生产资源利用效率明显高于黄淮海和长江中下游地区,其粮食生产资源配置管理具有明显优势。粮食生产资源全要素生产率指数整体呈上升趋势,其变化受到技术效率和技术进步的双重影响,其中技术进步的影响更大。因此,在缩小不同地区外部环境差异的同时,结合自身潜力进行调整,是进一步提高粮食生产资源利用效率的有效途径。