Assessing the Relationship between Resource Misallocation and Total Factor Productivity Based on Artificial Neural Network.

Zhang W, Bo L, Zhang S, Wang Y.

DOI: 10.1155/2022/5148879
Published: 2022-06-17
Container: Comput Intell Neurosci
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1155/2022/5148879,
  title = {Assessing the Relationship between Resource Misallocation and Total Factor Productivity Based on Artificial Neural Network.},
  author = {Zhang W and  Bo L and  Zhang S and  Wang Y.},
  year = {2022},
  journal = {Comput Intell Neurosci},
  doi = {10.1155/2022/5148879},
  url = {https://doi.org/10.1155/2022/5148879}
}

RIS

TY  - JOUR
TI  - Assessing the Relationship between Resource Misallocation and Total Factor Productivity Based on Artificial Neural Network.
AU  - Zhang W
AU  -  Bo L
AU  -  Zhang S
AU  -  Wang Y.
PY  - 2022
JO  - Comput Intell Neurosci
DO  - 10.1155/2022/5148879
UR  - https://doi.org/10.1155/2022/5148879
ER  -

APA

W, Z., L, B., S, Z., & Y., W. (2022). Assessing the Relationship between Resource Misallocation and Total Factor Productivity Based on Artificial Neural Network.. Comput Intell Neurosci. https://doi.org/10.1155/2022/5148879

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europe-pmc · retrieved 2026-09-25T02:20:44.514Z