Interprovincial differences in labour force distribution and utilization based on educational attainment in Indonesia, 2002–2015

Kataoka, Mitsuhiko

doi:10.1111/rsp3.12159

Cited by 10 publications

(14 citation statements)

References 38 publications

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“…Economic growth is measured as the difference between the log of GDP per capita in the years 2017 and 2001.2 For studies about luxury unemployment hypothesis in Indonesia, seeManning and Junankar (1998),Kataoka (2019) …”

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confidence: 99%

Provincial income convergence clubs in Indonesia: Identification and conditioning factors

2021

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The discussion on regional income per capita convergence in Indonesia continues with an emphasis on whether regional per capita incomes tend to converge or diverge over the long run. This study evaluates the regional convergence hypothesis at the provincial level during the recent deindustrialization period 2001-2017 of Indonesia. First, the study examines the existence of convergence clubs in Indonesia using a recently assembled panel dataset. Results reveal four convergence clubs with particularly large income gaps, mostly arising from the top of the income distribution. Second, using an ordered logit model, the study examines the determinants of the convergence clubs. Result reveals that industrialization increases the probability of membership to a highincome club.

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confidence: 99%

Provincial income convergence clubs in Indonesia: Identification and conditioning factors

2021

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“…Unfortunately, most of the previous studies on formal-informal worker transition in Indonesia focus on interregional mobility (Kataoka, 2019;Vidyattama, 2016), sectoral migration (Moeis, Dartanto, Moeis, & Ikhsan, 2020), urban-rural mobility (Rudiarto, Hidayani, & Fisher, 2020), and mainly provide only a static analysis. Although it is expected that informal employment would be temporary, as workers gain experience and acquire skills, transitioning to formal employment has not been entirely successful in Indonesia.…”

Section: Asian Economic and Financial Reviewmentioning

confidence: 99%

“…First, we provide evidence based on longitudinal data on mobility across formal-informal activities, and the permanence of workers. Earlier studies have looked at mobility across sectors, regions, and locations (Calì et al, 2019;Kataoka, 2019) but have not provided estimates based on formality level. Second, we study the nexus between socio-demographic variables and labor mobility aimed at identifying sectors where policy efforts can bear fruit in supporting formality and identifying vulnerable groups (or slow movers) toward formality who may require additional policy support (Pitoyo, Aditya, Amri, & Rokhim, 2021).…”

Section: Asian Economic and Financial Reviewmentioning

confidence: 99%

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Worker Transition Across Formal and Informal Sectors: A Panel Data Analysis in Indonesia

Sugiharti¹,

Aditina²,

Esquivias³

2022

5002

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This paper examines the transition of workers between formal and informal jobs based on socio-demographic and employment characteristics. The study identifies factors that increase the likelihood of workers remaining in formal employment. The multinomial logistic regression model is incorporated to analyze labor transitions based on data from Indonesia's National Labor Force Survey (Sakernas) of 2017–2018. The findings show that 56.34% of workers were in informal activities and 30.58% were in formal jobs. Workers who transition from informal to formal jobs made up 6.84%, while 6.24% transitioned from formal to informal occupations. Informal workers were reluctant to move to the formal sector. Workers who are younger, unmarried, male, living in urban areas, and more educated are more likely to relocate from the informal to the formal sector. Work experience and participation in certified training can help shift workers to the formal sector, especially within the manufacturing industry.

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“…Specifics of the calculation of various coefficients of interregional differentiation see at(Anand, 1983;Kataoka, 2019;Malkina, 2015).…”

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Qualitative Aspect of the Regional Growth in Russia: Inclusive Development Index

Михеева

2020

Regional Science Policy & Practice

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The paper presents estimates of the economic dynamics of the Russian regions and regional growth quality indicators. To assess the quality of growth regional inclusive development index (RIDI) was used, based on the concept of inclusive sustainable growth. The index evaluates economic, social and environmental situation in the region. Comparison of the dynamics of GRP and RIDI showed that in the period 2001-2017, the economic growth of Russia and most Russian regions was accompanied by a downward change in RIDI. The interregional differentiation of RIDI and per capita GRP indicators is further assessed. It is shown, that their dynamics are determined by various factors, therefore, in order to level the interregional differences between the RIDI and GRP, various regional policy instruments should be used.

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Interprovincial differences in labour force distribution and utilization based on educational attainment in Indonesia, 2002–2015

Cited by 10 publications

References 38 publications

Provincial income convergence clubs in Indonesia: Identification and conditioning factors

Provincial income convergence clubs in Indonesia: Identification and conditioning factors

Worker Transition Across Formal and Informal Sectors: A Panel Data Analysis in Indonesia

Qualitative Aspect of the Regional Growth in Russia: Inclusive Development Index

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