Identifying High Resource Consumption Areas of Assembly-Centric Manufacturing in the United States.

IF 4.6 2区 管理学 Q1 MANAGEMENT Journal of Technology Transfer Pub Date : 2019-01-01 DOI:10.1007/s10961-017-9577-9
Douglas Thomas, Anand Kandaswamy
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引用次数: 8

Abstract

This paper examines supply chain value added in the US for producing assembly-centric products, which includes machinery, computers, electronics, and transportation equipment, and determines whether costs are disproportionally distributed. The implication being that reductions in resource consumption in some cost areas can disproportionally reduce total resource consumption. Efforts to develop and disseminate innovative solutions to improve efficiency can, therefore, be targeted to these high cost areas, resulting in larger efficiency improvements than might otherwise be achieved. An input-output model is used for this examination and is combined with labor data and data on assets. The top 20 industries, occupations, and industry occupation combinations contributing to production are identified. A sensitivity analysis is conducted on the model using Monte Carlo simulation. The results confirm that costs are disproportionally distributed, having a Gini coefficient of 0.75 for value added and for compensation it is 0.86. Wholesale trade, aircraft manufacturing, and the management of companies and enterprises were the industries with the largest contribution to assembly-centric manufacturing, even when including imports. Energy in the form of electricity and natural gas were discussed separately, but would rank 8th if compared to the industry rankings. In terms of occupation activities, team assemblers, general and operations managers, and sales representatives were the largest occupations. Public entities might use this model and results to identify efficiency improvement efforts that will have the largest impact on industry per dollar of expenditure.

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确定美国以装配为中心的制造业的高资源消耗领域。
本文考察了美国生产以装配为中心的产品(包括机械、计算机、电子产品和运输设备)的供应链附加值,并确定成本是否不成比例地分布。这意味着在某些成本领域减少资源消耗会不成比例地减少总资源消耗。因此,发展和传播提高效率的创新办法的努力可以针对这些高成本地区,从而比其他方法更能提高效率。该检查使用了一个投入产出模型,并将其与劳动力数据和资产数据相结合。确定了对生产贡献最大的20个行业、职业和行业职业组合。利用蒙特卡罗仿真对模型进行了灵敏度分析。结果证实,成本分布不成比例,增加价值的基尼系数为0.75,而补偿的基尼系数为0.86。批发贸易、飞机制造、公司和企业管理是对以装配为中心的制造业贡献最大的行业,即使包括进口也是如此。虽然分别讨论了电力和天然气能源,但如果与行业排名相比,将排在第8位。就职业活动而言,团队装配员、总经理和运营经理以及销售代表是最大的职业。公共实体可以使用这个模型和结果来确定提高效率的努力,这些努力将对每一美元支出的工业产生最大的影响。
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来源期刊
CiteScore
10.20
自引率
12.50%
发文量
66
期刊介绍: The Journal of Technology Transfer provides an international forum for research on the economic, managerial and policy implication of technology transfer, entrepreneurship, and innovation. The Journal is especially interested in articles that focus on the relationship between the external environment and organizations (governments, public agencies, firms, universities) and their innovation process. The Journal welcomes alternative modes of presentation ranging from broad empirical analyses, to theoretical models, to case studies based on theoretical foundations.  Officially cited as: J Technol Transf
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