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A Measure Of Structural Change In Output

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  • John H. Moore

Abstract

This article proposes a method of characterizing the growth process using two parameters, a production index measuring growth, and a structural change index measuring the changes in the composition of output. It discusses the properties of the structural change index that is developed, including its relation to the bias in growth rates measured by conventional index numbers. It then applies the measure to an examination of Yugoslav industry for the period 1952–71.

Suggested Citation

  • John H. Moore, 1978. "A Measure Of Structural Change In Output," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 24(1), pages 105-118, March.
    • Handle: RePEc:bla:revinw:v:24:y:1978:i:1:p:105-118
    DOI: 10.1111/j.1475-4991.1978.tb00034.x
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    Cited by:

    1. Zhang, Hongli & Shen, Lei & Zhong, Shuai & Elshkaki, Ayman, 2020. "Coal resource and industrial structure nexus in energy-rich area: The case of the contiguous area of Shanxi and Shaanxi Provinces, and Inner Mongolia Autonomous Region of China," Resources Policy, Elsevier, vol. 66(C).
    2. Li, Ke & Lin, Boqiang, 2017. "Economic growth model, structural transformation, and green productivity in China," Applied Energy, Elsevier, vol. 187(C), pages 489-500.
    3. Andreas Dietrich, 2012. "Does growth cause structural change, or is it the other way around? A dynamic panel data analysis for seven OECD countries," Empirical Economics, Springer, vol. 43(3), pages 915-944, December.
    4. Sèna Kimm Gnangnon, 2017. "Export Upgrading and the Extent of Structural Change in Tax Revenue in Developing Countries," South Asian Journal of Macroeconomics and Public Finance, , vol. 6(1), pages 27-58, June.
    5. Jingdong Zhong, 2019. "Biased Technical Change, Factor Substitution, and Carbon Emissions Efficiency in China," Sustainability, MDPI, vol. 11(4), pages 1-17, February.
    6. Yin Dong & Baishu Guo & Dawei He & Xiaoli Liao & Zhengyu Zhang & Xueqin Wu, 2022. "Industrial Transformation and Urban Economic Efficiency Evolution: An Empirical Study of the Yangtze River Economic Belt," IJERPH, MDPI, vol. 19(7), pages 1-19, March.
    7. Ping Ji & Weidong Huo & Lan Bo & Weiwei Zhang & Xiaoxian Chen, 2022. "Would Financial Development Help China Achieve Carbon Peak Emissions?," IJERPH, MDPI, vol. 19(19), pages 1-19, October.
    8. Mengying Wang & Stuart Gilmour & Chunhai Tao & Kaixuan Zhuang, 2020. "Does Scale and Efficiency of Government Health Expenditure Promote Development of the Health Industry?," IJERPH, MDPI, vol. 17(15), pages 1-19, July.
    9. Lin Zhu & Fan Dong & Liangwen Hu, 2023. "Mechanisms of How Private Equity Drives Industrial Upgrade: An Empirical Study Based on China’s Panel Data," Sustainability, MDPI, vol. 15(3), pages 1-15, January.
    10. Sha Yang & Jia Wu, 2023. "The Sustainability of the Fishery Industry and Environmental Development: A Study on Factor Market Distortions," IJERPH, MDPI, vol. 20(4), pages 1-15, February.
    11. Yongjiao Wu & Huazhu Zheng & Yu Li & Claudio O. Delang & Jiao Qian, 2021. "Carbon Productivity and Mitigation: Evidence from Industrial Development and Urbanization in the Central and Western Regions of China," Sustainability, MDPI, vol. 13(16), pages 1-23, August.
    12. Kong, Yang & He, Weijun & Shen, Juqin & Yuan, Liang & Gao, Xin & Ramsey, Thomas Stephen & Peng, Qingling & Degefu, Dagmawi Mulugeta & Sun, Fuhua, 2023. "Adaptability analysis of water pollution and advanced industrial structure in Jiangsu Province, China," Ecological Modelling, Elsevier, vol. 481(C).

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