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Evaluating the Economic Performance of High-Technology Industry and Energy Efficiency: A Case Study of Science Parks in Taiwan

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  • Min-Ren Yan

    (Department of International Business Administration, Chinese Culture University (SCE), No. 231, Sec. 2, Jian-guo S. R., Da-an Dist., 106 Taipei City, Taiwan)

  • Kuo-Ming Chien

    (Science and Technology Policy Research and Information Center, National Applied Research Laboratories, Taiwan)

Abstract

High-technology industries provide opportunities for economic growth, but also raise concerns because of their energy-demanding nature. This paper provides an integrated evaluation of both economic benefits and energy efficiency of high-technology industries based on the real data from one of the globally recognized high-technology industrial clusters, the national science parks in Taiwan. A nation-wide industrial Input-Output Analysis is conducted to demonstrate the positive effects of science parks on national economic developments and industrial upgrades. The concept of energy intensity and an energy-efficient economy index are applied to an integrated assessment of the relationship between economic growth and energy consumption. The proposed case study suggests that economic and energy efficiency objectives can be simultaneously achieved by the development of high-technology industries, while three energy policy implications are considered. First, a nation-wide macro viewpoint is needed and high-technology industries should be considered as parts of the national/regional economies by governmental agencies. Second, a proper industrial clustering mechanism and the shared environmental facilities supported by the government, such as planned land and road usage, electricity and water supply, telecommunications system, sewerage system and wastewater treatments, can improve energy efficiency of high-technology industries. Third, the governmental policies on the taxing and management system in science parks would also direct energy-efficient economy of high-technology industries.

Suggested Citation

  • Min-Ren Yan & Kuo-Ming Chien, 2013. "Evaluating the Economic Performance of High-Technology Industry and Energy Efficiency: A Case Study of Science Parks in Taiwan," Energies, MDPI, vol. 6(2), pages 1-15, February.
    • Handle: RePEc:gam:jeners:v:6:y:2013:i:2:p:973-987:d:23587
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    2. Bembenek Boguslaw, 2016. "RFID within High-Tech Clusters – Towards a Knowledge-Based Economy," Economics and Business, Sciendo, vol. 28(1), pages 52-60, April.
    3. Min-Ren Yan & Kuo-Ming Chien & Lin-Ya Hong & Tai-Ning Yang, 2018. "Evaluating the Collaborative Ecosystem for an Innovation-Driven Economy: A Systems Analysis and Case Study of Science Parks," Sustainability, MDPI, vol. 10(3), pages 1-13, March.
    4. Min-Ren Yan & Kuo-Ming Chien & Tai-Ning Yang, 2016. "Green Component Procurement Collaboration for Improving Supply Chain Management in the High Technology Industries: A Case Study from the Systems Perspective," Sustainability, MDPI, vol. 8(2), pages 1-16, January.
    5. Kao-Yi Shen & Min-Ren Yan & Gwo-Hshiung Tzeng, 2017. "Exploring R&D Influences on Financial Performance for Business Sustainability Considering Dual Profitability Objectives," Sustainability, MDPI, vol. 9(11), pages 1-21, October.
    6. Wei, Zixiang & Han, Botang & Pan, Xiuzhen & Shahbaz, Muhammad & Zafar, Muhammad Wasif, 2020. "Effects of diversified openness channels on the total-factor energy efficiency in China's manufacturing sub-sectors: Evidence from trade and FDI spillovers," Energy Economics, Elsevier, vol. 90(C).
    7. Yanhong Liu & Xinjian Huang & Weiliang Chen, 2019. "Threshold Effect of High-Tech Industrial Scale on Green Development—Evidence from Yangtze River Economic Belt," Sustainability, MDPI, vol. 11(5), pages 1-21, March.
    8. Ying Lu & Mahmood Ahmad & Haotian Zhang & Jingxian Guo, 2024. "Effects of Science and Technology Finance on Green Total Factor Productivity in China: Insights from an Empirical Spatial Durbin Model," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(2), pages 7280-7306, June.
    9. Sung-Lin Hsueh & Yue Sun & Min-Ren Yan, 2019. "Conceptualization and Development of a DFuzzy Model for Low-Carbon Ecocities," Sustainability, MDPI, vol. 11(20), pages 1-15, October.
    10. Haoran Zhao & Sen Guo & Huiru Zhao, 2018. "Comprehensive benefit evaluation of eco-industrial parks by employing the best-worst method based on circular economy and sustainability," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 20(3), pages 1229-1253, June.

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