挪威企业的绿色创新:驾驭生产率和绩效的复杂性

IF 12.9 1区 管理学 Q1 BUSINESS Technological Forecasting and Social Change Pub Date : 2024-09-29 DOI:10.1016/j.techfore.2024.123786
Touseef Hameed , Fikru Kefyalew Alemayehu , Subal C. Kumbhakar
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引用次数: 0

摘要

在可持续发展要求日益提高的时代,绿色创新(GI)因其深远的社会和环境效益而广受赞誉。本研究探讨了绿色创新如何影响挪威服务业和制造业企业的生产率和效率,采用了最先进的随机前沿模型(半参数平稳系数),专门用于分析绿色经济中对企业竞争力至关重要的特定影响。我们确定了 GI 影响生产率的两个主要途径:技术异质性和低效率转变。对技术的影响分为中性(直接)影响和非中性(间接)影响,中性影响与要素投入无关,而非中性影响则受技术异质性和投入水平的影响。我们通过技术和低效率来评估 GI 对生产率的边际效应。我们的地理信息结构包括减少材料/能源使用、降低二氧化碳排放、减少噪音、危险材料替代和采用可再生能源等创新。通过分析来自 3130 家挪威企业的数据,我们的研究结果凸显了地理信息创新在可持续发展中的关键作用,强调了其在各行业中的战略重要性。我们发现了积极的中性路径效应,但通过非中性路径对生产率产生了负面影响。地理信息系统还对低效率产生积极影响,尤其是在制造业。
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Green innovation in Norwegian firms: Navigating the complexity of productivity and performance
In an era where sustainability demands are increasing, green innovation (GI) is garnering widespread acclaim for its profound social and environmental benefits. This study explores how GI affects productivity and efficiency in Norwegian service and manufacturing firms, using a state-of-the-art stochastic frontier model (semi-parametric smooth coefficient) tailored to analyze firm-specific impacts essential for competitiveness in a green economy. We identify two main pathways through which GI affects productivity: technological heterogeneity and shifts in inefficiency. The impact on technology is split into neutral (direct) and non-neutral (indirect) effects, with the neutral effect being independent of factor inputs, and the non-neutral effect being influenced by both technology heterogeneity and input levels. We evaluate the marginal effects of GI on productivity through technology and inefficiency. Our GI construct includes innovations such as reduced material/energy use, lower CO2 emissions, noise reduction, hazardous material substitution, and adoption of renewable energy. Analyzing data from 3,130 Norwegian firms, our findings highlight the crucial role of GI in sustainability, underscoring its strategic importance across sectors. We find a positive neutral pathway effect but negatively impacts productivity through non-neutral pathways. GI also positively influences inefficiency, particularly in manufacturing.
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来源期刊
CiteScore
21.30
自引率
10.80%
发文量
813
期刊介绍: Technological Forecasting and Social Change is a prominent platform for individuals engaged in the methodology and application of technological forecasting and future studies as planning tools, exploring the interconnectedness of social, environmental, and technological factors. In addition to serving as a key forum for these discussions, we offer numerous benefits for authors, including complimentary PDFs, a generous copyright policy, exclusive discounts on Elsevier publications, and more.
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