基于网络DEA模型的农业种养结合生态效率评价
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1.华中农业大学公共管理学院;2.中国科学院地理科学与资源研究所

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国家自然科学基金青年项目(72004074)


Evaluation of the eco-efficiency of the integrated crop-livestock agricultural system based on the network DEA model
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1.College of Public Administration, Huazhong Agricultural University;2.Institute of Geographic Sciences and Natural Resources Research,Chinese Academy of Sciences

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    摘要:

    种养结合是顺应农业绿色发展和农业可持续发展目标的重要农业生产模式,然而现有研究在农业生态效率评价过程中往往忽视养殖业和种植业之间的物质交换,从而导致无法准确评价农业生态效率及其提升机制。构建了考虑种养系统耦合的农业生态效率评价框架,从产业“链”的角度,将种养系统划分为两个相互耦合的子系统,选用基于SBM的网络DEA模型对中国2000—2021年29个省市种养系统各个环节的生产效率进行测算。结果表明,我国农业种养结合生态效率整体呈上升趋势,但仍处于较低水平,均值为0.5975,其中东北地区农业种养结合生态效率最高,东部次之,中部和西部地区效率较低。养殖系统和种植系统共同促进了种养结合系统效率的提高,且养殖系统对整个种养结合系统效率提升的贡献相对更大。整体来看,四大区域效率损失的首要原因都是种植劳动力投入冗余,说明目前我国农业亟需提升机械化水平,推进农业投入要素转型替代。其次,化肥投入冗余以及畜禽粪便污染物排放冗余也是导致种养系统生态效率损失的主要原因。情景分析表明,种养结合能够减少种养循环链条上的化肥和饲料投入冗余,降低非期望产出,从而提升农业种养结合生态效率。种养结合后的化肥投入冗余从48.55%下降到23.22%,饲料投入冗余从34.93%下降到22.94%,非期望产出冗余从53.39%下降到29.39%。因此,未来应该根据地方优势优化种养产业布局,进一步提升种养结合水平,完善种养循环产业链,推动农业绿色转型发展。

    Abstract:

    Integrating crop and livestock production is an important agricultural practice that aligned with the goals of green agricultural development and sustainability. However, existing studies often overlook the material exchange between livestock and crop production in evaluation of agricultural eco-efficiency, resulting in an inability to accurately evaluate agricultural eco-efficiency and the mechanisms for its enhancement. This paper constructs an evaluation framework of agricultural eco-efficiency, incorporating the interlinkages of the crop-livestock system through "chain" perspective. By dividing the crop-livestock system into two mutually coupled subsystems, a network Data Envelopment Analysis (DEA) model based on Slack-Based Measure (SBM) is employed to measure the efficiency of each component of the crop-livestock system across 29 provinces and cities in China from 2000 to 2021. The findings indicate that the aggregate eco-efficiency of China's integrated crop-livestock systems exhibits an upward trajectory yet stays at a comparatively low level, averaging 0.5975. This suggests that while progress has been made, significant room for improvement still exists for the eco-efficiency in China's integrated crop-livestock systems. Regionally, the northeastern region exhibits the highest eco-efficiency in integrated crop-livestock systems, followed by the eastern region, while the central and western regions show relatively lower eco-efficiency. Both livestock and crop systems contribute positively to improving the eco-efficiency of the integrated crop-livestock systems, with livestock systems making a relatively larger contribution to the overall efficiency enhancement. Several key factors contribute to the efficiency losses observed in the four major regions of China. The primary reason for the efficiency losses is the redundant labor inputs in grain production, highlighting an urgent need to enhance mechanization in Chinese agriculture as well as promote the transformation and substitution of agricultural input factors. Additionally, redundancies in fertilizer inputs and the emissions of livestock manure pollutants are significant contributors to eco-efficiency losses in integrated crop-livestock systems. Scenario analysis further reveals that the integrated crop-livestock systems can reduce redundant inputs of fertilizers and feed within the crop-livestock cycle, thereby decreasing non-desired outputs and enhancing agricultural eco-efficiency. Specifically, after integration, fertilizer input redundancy decreases from 48.55% to 23.22%, feed input redundancy decreases from 34.93% to 22.94%, and non-desired output redundancy decreases from 53.39% to 29.39%. Given these findings, future efforts should focus on optimizing the layout of crop-livestock industries based on local agricultural resource endowment, enhancing the integration between crops and livestock, and improving the circular industry chain of crop-livestock systems to promote the green transformation and sustainable development of agriculture.

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周 青,徐炜蕾,张亚丽,吴 锋.基于网络DEA模型的农业种养结合生态效率评价.生态学报,,(). http://dx. doi. org/[doi]

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