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How unified is the Australian agricultural sector when talking to policy makers about digitalization?

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  • Terhorst, Andrew
  • Garrard, Robert

Abstract

Technological advances are transforming agriculture in many parts of the world. Despite the importance of agriculture to its economy, Australia lags behind other advanced economies in the adoption of digital agricultural technology. The country risks losing its comparative advantage due to a weak policy around digital agriculture. This study combines network analysis and natural language processing to assess 654 public submissions to six government inquiries addressing agricultural innovation, the digital economy, and rural broadband communication networks, held between 2016 and 2018. The analysis shows there is no consistent narrative driving policy development around digital agriculture. A fragmented policy landscape is a concern because it means that current and emerging policies may not address key issues, resulting in sub-optimal outcomes for Australian agriculture.

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  • Terhorst, Andrew & Garrard, Robert, 2022. "How unified is the Australian agricultural sector when talking to policy makers about digitalization?," SocArXiv 4nge5, Center for Open Science.
    • Handle: RePEc:osf:socarx:4nge5
    DOI: 10.31219/osf.io/4nge5
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    References listed on IDEAS

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    1. Brezina, Tadej, 2010. "The impacts of technology on growth: Studies of agriculture and steel," Technology in Society, Elsevier, vol. 32(4), pages 312-323.
    2. Chen, Yongmin, 2020. "Improving market performance in the digital economy," China Economic Review, Elsevier, vol. 62(C).
    3. Grün, Bettina & Hornik, Kurt, 2011. "topicmodels: An R Package for Fitting Topic Models," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 40(i13).
    4. Hailin Liu & Ling Xu & Mengning Yang & Meng Yan & Xiaohong Zhang, 2015. "Predicting Component Failures Using Latent Dirichlet Allocation," Mathematical Problems in Engineering, Hindawi, vol. 2015, pages 1-15, July.
    5. Dele Raheem & Maxim Shishaev & Vladimir Dikovitsky, 2019. "Food System Digitalization as a Means to Promote Food and Nutrition Security in the Barents Region," Agriculture, MDPI, vol. 9(8), pages 1-19, August.
    6. Watanabe, Chihiro & Naveed, Nasir & Neittaanmäki, Pekka, 2018. "Digital solutions transform the forest-based bioeconomy into a digital platform industry - A suggestion for a disruptive business model in the digital economy," Technology in Society, Elsevier, vol. 54(C), pages 168-188.
    7. Garrard, Robert & Fielke, Simon, 2020. "Blockchain for trustworthy provenances: A case study in the Australian aquaculture industry," Technology in Society, Elsevier, vol. 62(C).
    8. Burroughs, Benjamin & Burroughs, W. Jeffrey, 2020. "Digital logistics: Enchantment in distribution channels," Technology in Society, Elsevier, vol. 62(C).
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