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2019 | OriginalPaper | Buchkapitel

8. What Explains the Increase in the Labor Income Share in Malaysia?

verfasst von : Allen Ng, Theng Theng Tan, Zhai Gen Tan

Erschienen in: Labor Income Share in Asia

Verlag: Springer Singapore

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Abstract

Labor income shares have been falling in many advanced and emerging economies within the last few decades, partly as a result of a combination of impacts from technology and increased global integration. This in turn is associated with the relatively slow growth of wages, especially for medium-skilled workers, and the worsening of the income inequality in these economies. In contrast, Malaysia’s labor income share has been increasing since 2005, together with a reduction in income inequality. We investigate this development by exploring the differences in trends of the labor income shares across different economic sectors and firm sizes and identifying factors that could explain the increase in the labor income share in Malaysia. We find that the increase is mainly due to the growing importance of more traditional service subsectors and SMEs in the economy. This in turn is associated with greater reliance on low-skilled foreign workers during this period. These findings have important policy implications for Malaysia, including the potential trade-off between driving labor productivity and fostering inclusiveness. This contrarian trend offers insights that could be relevant to the experiences of, and policy choices available to, other emerging economies facing deindustrialization.

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Fußnoten
1
As, for example, Dao et al. (2017) and the IMF (2017) documented.
 
2
As the employment numbers for own account workers for each sector are not available, we do not calculate the LIS adjustment for own account workers.
 
3
We estimate the compensation of employees by skill level by estimating the compensation of employees from the mean wages and population of workers of different skill levels. We estimate the LIS by dividing the estimated compensation of employees by the nominal GDP. Appendix 2 provides details of the categories of worker by skill level.
 
4
Readers should be cautious regarding the analysis in this part due to the DOSM’s change in the definition of SMEs. The definition of enterprises in the SME category changed in 2013. SME data derived from the 2011 census categorize SMEs in the manufacturing sector as enterprises with either fewer than 150 employees or less than RM25 million annual sales turnover. For other sectors, SMEs are enterprises with fewer than 50 employees or less than RM5 million annual sales turnover. For 2015, SME data derived from the 2015 census categorize SMEs in the manufacturing sector as enterprises with fewer than 200 employees or less than RM50 million annual turnover. For other sectors, SMEs are enterprises with fewer than 75 employees or less than RM20 million annual turnover.
 
5
See, among others, Krusell (1998) for the link between information and communication technology and the price of investment goods and Autor and Dorn (2013) and Goos, Manning, and Salomons (2014) for the role of technology in the displacement of labor.
 
6
See, among others, Feenstra and Hanson (1997), IMF (2017), and Elsby, Hobijn, and Şahin (2013) for detailed explanations of the mechanisms at play in emerging and developing economies.
 
7
For a more complete treatment of the assumption of the underlying production function behind the discussion throughout this section, refer to Appendix 4.
 
8
Appendix 3 contains detailed information on the full list of 21 sectors according to the Malaysia Standard Industrial Classification (MSIC) 2008 version 1.0. For the purpose of econometric analysis, we exclude the mining and quarrying sector due to its outlying labor productivity statistics, which we can attribute to the resource-based nature of the sector.
 
9
Appendix 1 provides detailed explanations for these various intensities.
 
10
As KRI (2017) discussed.
 
11
Specifically, under the objective of “reducing wage gap to improve equity,” “the Government aims to increase the compensation of employees to GDP from 33.6% in 2013 to 40% in 2020, to be on the same level as other middle- and high-income countries” (EPU 2015, 5–16).
 
12
For example, as Rasiah (2011) and Menon and Ng (2015) highlighted.
 
13
Different indicators measure the three variables that this section outlines in the econometric model. Machine and equipment intensity acts as a proxy for capital-augmenting technological progress and foreign workers’ intensity provides a proxy for the unskilled–skilled labor ratio (given that foreign workers in Malaysia generally occupy lower-skilled jobs than Malaysians), whereas the ratio of net capital stock to the number of employments, instead of the capital–output ratio that Estrada and Valdeolivas (2012) used, measures the capital intensity.
 
14
The Harris–Tzavalis test is a unit root test that assumes that T is fixed.
 
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Metadaten
Titel
What Explains the Increase in the Labor Income Share in Malaysia?
verfasst von
Allen Ng
Theng Theng Tan
Zhai Gen Tan
Copyright-Jahr
2019
Verlag
Springer Singapore
DOI
https://doi.org/10.1007/978-981-13-7803-4_8

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