The Achilles heel of the US food industries: Exposure to labor and upstream industries in the supply chain

被引:10
|
作者
Wahdat, Ahmad Zia [1 ]
Lusk, Jayson L. [1 ]
机构
[1] Purdue Univ, Dept Agr Econ, W Lafayette, IN 47907 USA
关键词
food industry; food supply chain; labor; vulnerability analysis; FRAMEWORK; PRODUCTIVITY; PERFORMANCE; MANAGEMENT;
D O I
10.1111/ajae.12331
中图分类号
F3 [农业经济];
学科分类号
0202 ; 020205 ; 1203 ;
摘要
The modern-day food industries are part of a complex agri-food supply chain, where food production has become efficient yet potentially vulnerable to supply chain risks. The COVID-19 pandemic is a testament to that end. This article measures and identifies the U.S. food manufacturing industries' vulnerability to upstream industries and labor occupations by (a) calculating a food industry's diversification of intermediate input purchases across upstream industries, (b) quantifying the relative exposure of food manufacturing in a given industry and location to upstream input suppliers and labor occupations, and (c) estimating each food industry's gross output elasticity of inputs. This article also explores geographic heterogeneity in food industries' vulnerability. Among our results, we find evidence that the animal processing industry's output is relatively vulnerable to production labor, consistent with the observed disruptions to the meatpacking sector during COVID-19, which were largely caused by labor issues. Our results may help academics and practitioners to understand food industries' vulnerabilities to upstream industries and labor occupations.
引用
收藏
页码:624 / 643
页数:20
相关论文
共 50 条
  • [1] The Achilles' heel of supply chain management
    Raman, A
    DeHoratius, N
    Ton, Z
    HARVARD BUSINESS REVIEW, 2001, 79 (05) : 25 - +
  • [2] CRITICAL FACTORS OF SUPPLY CHAIN MANAGEMENT AND STRATEGIES IN THE FOOD INDUSTRIES
    Stelzer, Alexander
    NEW CHALLENGES OF ECONOMIC AND BUSINESS DEVELOPMENT - 2012, 2012, : 668 - 674
  • [3] Evolutionist algorithm for a supply chain management in agro-food industries
    Koubaa, S
    Gargouri, E
    Hammadi, S
    2nd International Industrial Simulation Conference 2004, 2004, : 319 - 323
  • [4] The effect of labor supply changes on output: empirical evidence from US industries
    Akay, Gokhan H.
    Dogan, Can
    JOURNAL OF PRODUCTIVITY ANALYSIS, 2013, 39 (02) : 123 - 130
  • [5] The effect of labor supply changes on output: empirical evidence from US industries
    Gokhan H. Akay
    Can Dogan
    Journal of Productivity Analysis, 2013, 39 : 123 - 130
  • [6] SUPPLY CHAIN DRIVERS OF ORGANIZATIONAL FLEXIBILITY-A STUDY OF US MANUFACTURING INDUSTRIES
    Cheng, Liang-Chieh
    Cantor, David E.
    Grimm, Curtis M.
    Dresner, Martin E.
    JOURNAL OF SUPPLY CHAIN MANAGEMENT, 2014, 50 (04) : 62 - 75
  • [7] Social media data analytics to improve supply chain management in food industries
    Singh, Akshit
    Shukla, Nagesh
    Mishra, Nishikant
    TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW, 2018, 114 : 398 - 415
  • [8] Development of halal supply chain risk management framework for frozen food industries
    Kristanto, Dwi
    Kurniawati, Dwi Agustina
    JOURNAL OF ISLAMIC MARKETING, 2023, 14 (12) : 3033 - 3052
  • [9] Strategic supply chain optimization for the pharmaceutical industries
    Papageorgiou, LG
    Rotstein, GE
    Shah, N
    INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 2001, 40 (01) : 275 - 286
  • [10] Flexible supply chain management in leather industries
    Wang Qunzhi
    Shan Zhihua
    7th Asian International Conference of Leather Science and Technology Sect 1 and 2, 2006, : 791 - 794