Noorazeela Zainol Abidin
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Preferred name
Noorazeela Zainol Abidin
Official Name
Noorazeela, Zainol Abidin
Alternative Name
Abidin, Noorazeela Zainol
Zainol Abidin, Noorazeela
Abidin, N. Z.
Abidin, N. Zainol
ABIDIN, Noorazeela Zainol
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Scopus Author ID
57191194096

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A comparative analysis of technical efficiency, technological change and total factor productivity in selected ASEAN+3 countries

2023-07 , Noorazeela Zainol Abidin , Ishak Yussof , Zulkefly Abdul Karim , Mohd Shahidan Shaari

Total factor productivity (TFP) growth in ASEAN+3 countries exhibits varied trends. This is due to the fact that each country has different skills and different levels of technological advancement. This study aims to analyse the trends in technical efficiency (TEC), technological change (TC) and TFP growth using the Malmquist productivity index method. The analysis is based on data ranging from 1981 to 2014 in selected ASEAN+3 countries. The results show that during the periods 1981–1985, 1986–1990, 1991–1995, 1996–2000 and 2001–2005, the contribution of TEC to TFP growth was higher than that of TC. However, during the periods 2006–2010 and 2011–2014, the contribution of TC to TFP growth was higher than that of TEC. Therefore, it is imperative for the countries to improve the quality of inputs such as labour. Hence, skilled workers are indispensable to produce higher productivity.

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The linkage among socio-economic indicators and life expectancy in selected ASEAN+3 countries

2023 , Noorazeela Zainol Abidin , Mai Syaheera Miau Shaari

The improvement in medical technology indirectly contributes to increasing life expectancy. Besides, a good health service system can also help to overcome the various health problems. However, the rising on treatment costs, levels of education, standards of living and the drop of mortality rates can lead to a decline in life expectancy. Therefore, this study was conducted to investigate the linkages between socio-economic indicators and life expectancy in selected ASEAN+3 countries from 1991 to 2019 by using panel static method. The results obtained show that there are significantly positive relationships between education and health spending on life expectancy while interaction between dummy country and life expectancy show a negative relationship. Therefore, these findings are important for policymakers to formulate policies in increasing life expectancy based on socio-economic indicators for each country.

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