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['region']
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
print(data)
# 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.