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Logical analysis of Chinese labor productivity patterns

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Abstract

Using data published by the Chinese Statistical Bureau, an elaborated version of theCobb‐Douglas production function was developed in [3] to express the dependence that industrial production has on classic economic factors, ownership‐related variables and geographic location. In this paper, we reexamine the same data using the new Boolean‐based methodology of Logical Analysis of Data (LAD). The LAD models detect numerous characteristic patterns for explaining changes in productivity, strongly confirm and complement the conclusions of [3], and lead to a decision support system aimed at increasing productivity in China's provinces.

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References

  1. E. Boros, P.L. Hammer, T. Ibaraki, A. Kogan, E. Mayoraz and I. Muchnik, An implementation of logical analysis of data, RUTCOR Research Report RRR 22-96, 1996.

  2. Y. Crama, P.L. Hammer and T. Ibaraki, Cause-effect relationships and partially defined Boolean functions, Annals of Operations Research 16(1988)299-325.

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  3. A.B. Hammer, An econometric analysis of the development dynamics in modern Chinese industry, Proceedings of the International Conference on Management Science and the Economic Development of China, Hong Kong, 1996, Annals of Operations Research (1999), this volume.

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Authors
  1. A.B. Hammer
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  2. P.L. Hammer
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  3. I. Muchnik
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Hammer, A., Hammer, P. & Muchnik, I. Logical analysis of Chinese labor productivity patterns. Annals of Operations Research 87, 165–176 (1999). https://doi.org/10.1023/A:1018920600320

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  • DOI: https://doi.org/10.1023/A:1018920600320

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