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Spatial-Temporal Characteristics of Agriculture Green Total Factor Productivity in China 1998–2016: Based on More Sophisticated Calculations of Carbon Emissions

机译:1998-2016年中国农业绿色全要素生产率的时空特征:基于更加精细的碳排放量计算

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摘要

Environmental costs should be taken into account when measuring the achievements of China’s agricultural development, since the long-term extensive development of agriculture has caused huge environmental pollution. This study took agricultural carbon emissions as an undesired output to estimate the agricultural development efficiency in 31 provinces of China from 1998 to 2016, based on the green total factor productivity, as assessed by the slacks-based measure directional distance function and constructing the global Malmquist–Luenberger index. We measured agricultural carbon emissions in terms of five aspects: agricultural materials, rice planting, soil, livestock and poultry farming, and straw burning, and then compared the green total factor productivity index and the total factor productivity index. The study came to the following conclusions: (1) the green technology efficiency change was smaller than the technology efficiency change at first, but the gap between them is narrowing with time, such that the former is now larger than the latter; (2) the green technology efficiency was in a declining state and the green technology progress was increasing, promoting the green total factor productivity growth, from 1998 to 2016; and (3) China’s agricultural green total factor productivity increased by 4.2% annually in the east, 3.4% annually in the central region, and 2.5% annually in the west.
机译:在衡量中国农业发展成就时应考虑环境成本,因为农业的长期广泛发展已经造成了巨大的环境污染。这项研究将农业碳排放量作为非期望的产出,基于绿色全要素生产率(通过基于松弛的测度方向距离函数评估并构建了全球Malmquist),估算了1998年至2016年中国31个省的农业发展效率–伦贝格指数。我们从五个方面衡量了农业碳排放:农业材料,水稻种植,土壤,畜禽养殖和秸秆燃烧,然后比较了绿色全要素生产率指数和全要素生产率指数。研究得出以下结论:(1)绿色技术效率变化起初小于技术效率变化,但它们之间的差距随着时间而缩小,从而前者现在大于后者。 (2)从1998年到2016年,绿色技术效率处于下降状态,绿色技术进步正在加速,推动绿色全要素生产率的增长; (3)中国的农业绿色全要素生产率在东部每年增长4.2%,在中部地区每年增长3.4%,在西部地区每年增长2.5%。

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