湖北农业科学 ›› 2022, Vol. 61 ›› Issue (10): 192-198.doi: 10.14088/j.cnki.issn0439-8114.2022.10.034

• 经济·管理 • 上一篇    下一篇

低碳视角下陕西省粮食生产率评价及影响因素研究——基于Malmquist-Luenberger指数模型

尚丽   

  1. 陕西财经职业技术学院经济与金融学院,陕西 咸阳 712000
  • 收稿日期:2021-05-31 出版日期:2022-05-25 发布日期:2022-06-14
  • 作者简介:尚 丽(1988-),女,陕西宝鸡人,讲师,硕士,主要从事低碳农业研究,(电话)15029272660(电子信箱)951592117@qq.com。

Study on evaluation of grain productivity and its influencing factors in Shaanxi Province from the perspective of low-carbon:Based on the Malmquist-Luenberger index model

SHANG Li   

  1. College of Economy and Finance, Shaanxi Technical College of Finance & Economics,Xianyang 712000, Shaanxi,China
  • Received:2021-05-31 Online:2022-05-25 Published:2022-06-14

摘要: 基于低碳经济视角,利用历年陕西省统计年鉴数据,将农业生产中 6 个主要方面(化肥、农药、农膜、柴油、翻耕和灌溉)的碳排放作为“坏产出”指标纳入粮食生产率分析框架中,构建Malmquist-Luenberger指数模型分析2010—2019年考虑碳排放因素下陕西省的粮食生产率,并构建多元回归模型分析低碳经济视角下粮食生产率的影响因素。结果表明,考虑碳排放条件下,2010—2019年陕西省粮食全要素生产率和技术进步率均呈增长趋势,但年均增长速度缓慢,而其粮食技术效率指数为0.995,技术效率无效。在此基础上,从低碳农业科技发展、低碳科技成果转化、低碳农业科技推广创新体系构建、科研人员保障机制建立、农民低碳生产意识培养5个方面提出提升陕西省粮食低碳生产率的对策及建议。

关键词: 粮食生产率, 陕西省, 低碳农业, Malmquist-Luenberger指数模型, 全要素生产率, 影响因素

Abstract: Based on the perspective of low-carbon economy,using the statistical yearbook data of Shaanxi Province, taking the six major aspects of the agricultural production (chemical fertilizers, pesticides, agricultural films, diesel oil, plough and irrigation) of carbon emissions as “bad output” indicators into the grain productivity analysis framework, the Malmquist-Luenberger index model was constructed to analyze the grain productivity in Shaanxi Province from 2010 to 2019 when considering the carbon emission factors. And the multiple regression model was constructed to analyze the influencing factors of grain productivity from the perspective of low-carbon economy. The results showed that the total factor productivity and the technology progress of grain in Shaanxi province showed an increasing trend from 2010 to 2019 under the condition of carbon emission, but the annual growth rate was slow, and the technical efficiency index of grain was 0.995, indicating that the technical efficiency was ineffective. On this basis, the countermeasures and suggestions were put forward to improve the low-carbon productivity of grain in Shaanxi Province from five aspects of the development of low-carbon agricultural science and technology, the transformation of low-carbon scientific and technological achievements, the construction of the promotion and innovation system of low-carbon agricultural science and technology, the establishment of the guarantee mechanism of scientific researchers, and the cultivation of farmers’ awareness of low-carbon production.

Key words: grain productivity, Shaanxi Province, low-carbon agriculture, Malmquist-Luenberger index model, total factor productivity, influencing factors

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