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Analysis on the Influence of Government Efficiency on Taiwan?s Society, Economy, and Environment Using Data Mining: A Case Study on Open Government Data

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  • Tzu-Chiang Chiang

    () (Department Of Information Management, Tunghai University)

Abstract

This study uses DEA-SBM to obtain the target variables and the decision tree model to produce important indicators. The government can promote Taiwan's development in all aspects by improving social, economic, and environmental efficiency, while ensuring the sustainable development of environmental protection. The 15 social, economic, and environmental variables are used in the decision tree to obtain 3 repeatable important indicators that can affect Taiwan's social change, economic development, operational capability, environmental pollution, and change. K-means divides the 22 counties and cities into 1 capital city, 5 municipalities, and 16 other counties and cities, in order to understand the influence of the economy on social and environmental development during the period of 2013-2015 in Taiwan.

Suggested Citation

  • Tzu-Chiang Chiang, 2018. "Analysis on the Influence of Government Efficiency on Taiwan?s Society, Economy, and Environment Using Data Mining: A Case Study on Open Government Data," Proceedings of International Academic Conferences 6509296, International Institute of Social and Economic Sciences.
  • Handle: RePEc:sek:iacpro:6509296
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    File URL: https://iises.net/proceedings/40th-international-academic-conference-stockholm/table-of-content/detail?cid=65&iid=013&rid=9296
    File Function: First version, 2018
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    More about this item

    Keywords

    Open Government Data; k-means; DEA-SBM; Decision tree; Data Mining;

    JEL classification:

    • C89 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Other

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