An Efficiency and Productivity Analysis Package
Project description
ProdPack: An Efficiency and Productivity Analysis Package
ProdPack is a Python package designed for Efficiency and Productivity Analysis. Its comprehensive toolset allows for efficient handling of various productivity index estimates, including those that account for undesirable outputs (e.g., total factor productivity, TFP).
Installation
Install the package by pip
,
pip install ProdPack
Or install the package by conda
,
conda install ProdPack
Usage
A brief example is provided below. For more information, please refer to the documentation and example notebooks.
# import the module
import pandas as pd
from ProdPack.model import ProdNP
from DEAPack.utilities import load_example_data
# load the example dataset
data = load_example_data()
# initilise a nonparametric model
model = ProdNP()
# specify the model
model.DMUs = data['Province']
model.x_vars = data[['K', 'L']]
model.y_vars = data[['Y']]
model.b_vars = data[['CO2']]
model.time = data['year']
model.g_x = model.x_vars*0
model.ref_type = 'Sequential'
# solve the model
model.solve()
# check the results
data['prod_ch'] = model.prod_ch
data['eff_ch'] = model.eff_ch
data['te_ch'] = model.te_ch
# the results are combind into the data set
Communication
You're very welcome to contribute to this package. We appreciate any efforts to improve this package. You can help by adding new features, reporting bugs, or extending the documentation and usage examples. Please contact us if you have any ideas.
- Pull requests for pull requests.
- Issues for bug reports.
Project details
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