AbstractThe study uses the Panel data of fifteen hi-tech industries over the period of 2000-2010 in order to measure the productivity changes of Chinese hi-tech industries by using the Malmquist productivity index. It concludes that the electronic component and office equipment industries are considered to be efficient. The mix result obtained with respect to productivity changes and its sources. Office Equipment industry is the leading in productivity gain by 3.7% over the study period
The pharmaceutical industry of Bangladesh is now meeting around 97% of total domestic demand with an...
The relationships between investment in R&D and productivity growth at sectoral level have been ...
Using panel data from China’s tobacco manufacturing industry from 2014 to 2018, the DEA-Malmquist me...
The study employs the panel data of 15 hi-tech industries over the period of 2000-2010 in order to e...
The study employs the panel data of 15 hi-tech industries over the period of 2000-2010 in order to e...
Total factor productivity is thought to be the key factor to economic development, while related emp...
Using a newly constructed data set for 24 manufacturing, mining and utility industries over the peri...
The relationships between investment in R&D and productivity growth at sectoral level have been ...
The measurement of total factor productivity for 24 manufacturing industries in Saudi Arabia between...
Abstract In this research we employ data envelopment analysis (DEA) to measure the Malmquist product...
Data envelopment analysis can be applied to measure the productivity of multiple input and output de...
The paper extends the methodology of parametric decomposition of the Malmquist productivity index us...
The paper extends the methodology of parametric decomposition of the Malmquist productivity index us...
AbstractChina has achieved significant progress in terms of economic and social developments since i...
Performance measurement is one of the primary tasks in every organization and it helps organization ...
The pharmaceutical industry of Bangladesh is now meeting around 97% of total domestic demand with an...
The relationships between investment in R&D and productivity growth at sectoral level have been ...
Using panel data from China’s tobacco manufacturing industry from 2014 to 2018, the DEA-Malmquist me...
The study employs the panel data of 15 hi-tech industries over the period of 2000-2010 in order to e...
The study employs the panel data of 15 hi-tech industries over the period of 2000-2010 in order to e...
Total factor productivity is thought to be the key factor to economic development, while related emp...
Using a newly constructed data set for 24 manufacturing, mining and utility industries over the peri...
The relationships between investment in R&D and productivity growth at sectoral level have been ...
The measurement of total factor productivity for 24 manufacturing industries in Saudi Arabia between...
Abstract In this research we employ data envelopment analysis (DEA) to measure the Malmquist product...
Data envelopment analysis can be applied to measure the productivity of multiple input and output de...
The paper extends the methodology of parametric decomposition of the Malmquist productivity index us...
The paper extends the methodology of parametric decomposition of the Malmquist productivity index us...
AbstractChina has achieved significant progress in terms of economic and social developments since i...
Performance measurement is one of the primary tasks in every organization and it helps organization ...
The pharmaceutical industry of Bangladesh is now meeting around 97% of total domestic demand with an...
The relationships between investment in R&D and productivity growth at sectoral level have been ...
Using panel data from China’s tobacco manufacturing industry from 2014 to 2018, the DEA-Malmquist me...