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Economic growth of green agriculture and its influencing factors in china: Based on emergy theory and spatial econometric model

机译:中国绿色农业经济增长及其影响因素:基于闻名理论及空间计量计量模型

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Based on emergy theory, this paper calculates the agricultural green GDP of China and its provincial units from 2003 to 2018. Following this, the spatial distribution characteristics and influencing factors of the economic growth of green agriculture in China are studied using the spatial analysis method. The results show that: (1) Compared with the traditional GDP derived from agriculture, the per capita green agriculture GDP growth in China is relatively slow, and the proportion of green agriculture GDP to the traditional GDP from agriculture is between 85 and 91%, which shows a downward trend. (2) The economic growth of China's green agriculture manifests significant spatial agglomeration, with gradually growing effects. (3) The per capita GDP of green agriculture has not broken the overall pattern of high economic growth in China's eastern regions and low growth in the western. According to the results, the major cause of this spatial pattern lay in the higher efficiency of agricultural production in the eastern, economically more developed areas, and the relatively less efficient mode of production in the western areas. (4) A region's level of economic development, technological innovation, infrastructure investment and openness were found to have a positive impact on the growth of green agriculture within it. In previous research, emergy methods have not been applied to study the economic sectors in China, the largest developing country in the world, especially in the agricultural sector. Only few studies report on the analysis of spatial characteristics and factors influencing the growth of green agriculture. The agricultural green GDP was calculated based on the emergy analysis method. The temporal and spatial characteristics, as well as the driving factors of green agriculture GDP, were analyzed under the full consideration of the spatial correlation, which contributes to the theoretical explanation of spatial agglomeration of economic factors in spatial economic theory. The conclusions provide a theoretical and practical basis for accurate evaluation of the green growth of China's agricultural economy, optimization of the spatial structure of the country's green agricultural economy and coordination of the development of green agriculture in different regions.
机译:基于最佳理论,从2003年至2018年计算了中国及其省级单位的农业绿色国内生产总值。在此之后,使用空间分析方法研究了中国绿色农业经济增长的空间分布特征和影响因素。结果表明:(1)与来自农业的传统国内生产总值相比,中国人均绿色农业GDP增长相对较慢,绿色农业GDP从农业中GDP的比例介于85到91%之间,这显示了下行趋势。 (2)中国绿色农业的经济增长表现出显着的空间凝聚,逐渐增长。 (3)绿色农业人均GDP并未破坏中国东部地区高经济增长的整体模式,西方的低增长。根据结果​​,这种空间模式的主要原因介绍了东方农业生产的效率较高,经济上更发达地区,以及西部地区的生产率相对较少。 (4)区域经济发展水平,技术创新,基础设施投资和开放程度对其内部的绿色农业增长产生积极影响。在以前的研究中,尚未申请最佳方法,以研究中国最大的发展中国家的经济部门,特别是在农业部门。少数关于影响绿色农业增长的空间特征及因素分析的研究报告。基于智能分析方法计算农业绿色GDP。在全面考虑空间相关性的情况下分析了时空和空间特征,以及绿色农业GDP的驱动因素,这有助于空间经济理论中经济因素的空间凝聚的理论解释。结论为准确评价中国农业经济的绿色增长,优化国家绿色农业经济的空间结构以及不同地区绿色农业发展的优化。

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