创新对农场生产率的贡献

IF 2.3 4区 经济学 Q3 BUSINESS
Parikoglou Iordanis, Emvalomatis Grigorios, Doris Läpple, Fiona Thorne, Michael Wallace
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引用次数: 0

摘要

创新是生产力增长的关键驱动力。本文提出了一种新方法,利用爱尔兰奶牛场的代表性数据,探讨农场层面的创新对农场生产率及其组成部分(即技术、效率和规模)的影响。我们根据采用的生产实践、持续的创新活动和专家意见加权的知识指数来衡量创新。结果表明,爱尔兰奶农的创新能力更强,生产效率更高。具体来说,所有奶农都能通过使用创新提高生产技术和效率,但处于特定创新水平的奶农可能会因为经营规模小而导致生产率下降。这表明创新对生产率具有非线性影响。我们讨论了减少农民创新收益不平等的政策影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

The contribution of innovation to farm-level productivity

The contribution of innovation to farm-level productivity

Innovation is a key driver of productivity growth. This paper proposes a novel methodology in order to explore the impact of farm-level innovations on farm productivity and its components (i.e. technology, efficiency and scale) using representative data from Irish dairy farms. We measure innovation by an index based on employed production practices, continuous innovation activity and knowledge weighted by expert opinions. The results suggest that more innovative Irish dairy farmers are more productive. Specifically, all farmers improve their production technology and efficiency through their use of innovations, but farmers at specific levels of innovativeness may experience a decrease in productivity due to the small scale at which they operate. This indicates that innovation has a non-linear effect on productivity. We discuss the policy implications for reducing the unequal gains of innovation across farmers.

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来源期刊
CiteScore
3.10
自引率
6.20%
发文量
30
期刊介绍: The Journal of Productivity Analysis publishes theoretical and applied research that addresses issues involving the measurement, explanation, and improvement of productivity. The broad scope of the journal encompasses productivity-related developments spanning the disciplines of economics, the management sciences, operations research, and business and public administration. Topics covered in the journal include, but are not limited to, productivity theory, organizational design, index number theory, and related foundations of productivity analysis. The journal also publishes research on computational methods that are employed in productivity analysis, including econometric and mathematical programming techniques, and empirical research based on data at all levels of aggregation, ranging from aggregate macroeconomic data to disaggregate microeconomic data. The empirical research illustrates the application of theory and techniques to the measurement of productivity, and develops implications for the design of managerial strategies and public policy to enhance productivity. Officially cited as: J Prod Anal
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