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Towards Industrialisation in Tanzania: Drivers and Barriers to Green Manufacturing

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For the industrialization efforts to be fruitful and sustainable, they should be coupled with Green Manufacturing (GM) which simply implies clean manufacturing. This study analyses the drivers and barriers to GM in Tanzania. It specifically analyses the drivers and barriers to GM and ranks them for prioritisation.  The study made the use of cross-sectional primary data which were collected using interviewer administered questionnaires from a random sample of 185 manufacturing firms in two purposively selected regions of Dodoma and Mwanza in Tanzania. In the analysis, the Binary Logistic regression was used to estimate the drivers and barriers to GM using the STATA software. The results showed that some of the significant drivers to green manufacturing include; firm size, firms resources, current legislation, incentives, and public pressure, The significant barriers included high short term costs, low customer demand, technological risk, lack of awareness and unclear benefits. It was also found that the highest ranked driver to GM was the firm size and the highest ranked barrier to GM was the short term costs. The study finally recommends that the relevant authorities should prioritize on the significant drivers and barriers to GM so that the move towards industrialisation in Tanzania can be more fruitful and sustainable.
Mokslines leidybos deimantas, MB
Title: Towards Industrialisation in Tanzania: Drivers and Barriers to Green Manufacturing
Description:
For the industrialization efforts to be fruitful and sustainable, they should be coupled with Green Manufacturing (GM) which simply implies clean manufacturing.
This study analyses the drivers and barriers to GM in Tanzania.
It specifically analyses the drivers and barriers to GM and ranks them for prioritisation.
  The study made the use of cross-sectional primary data which were collected using interviewer administered questionnaires from a random sample of 185 manufacturing firms in two purposively selected regions of Dodoma and Mwanza in Tanzania.
In the analysis, the Binary Logistic regression was used to estimate the drivers and barriers to GM using the STATA software.
The results showed that some of the significant drivers to green manufacturing include; firm size, firms resources, current legislation, incentives, and public pressure, The significant barriers included high short term costs, low customer demand, technological risk, lack of awareness and unclear benefits.
It was also found that the highest ranked driver to GM was the firm size and the highest ranked barrier to GM was the short term costs.
The study finally recommends that the relevant authorities should prioritize on the significant drivers and barriers to GM so that the move towards industrialisation in Tanzania can be more fruitful and sustainable.

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