Determining Leading Economic Sectors, by Large Distribution or Extreme Growth?

Rosadi, Alfian

doi:10.46456/jisdep.v1i2.59

Cited by 2 publications

(2 citation statements)

References 45 publications

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“…Dari hasil analisis akan diperoleh angka 0 sampai dengan 1 dimana, apabila hasil mendekati angka 1 maka terjadi ketimpangan artinya, pertumbuhan ekonomi tidak merata dan apabila mendekati angka nol maka tidak terjadi ketimpangan artinya pertumbuhan ekonomi terjadi secara merata (Islami & SBM, 2018;Luthfiyah & Tallo, 2020;Maulana, 2019;Septianingrum et al, 2020). Indeks Williamson dapat dihitung menggunakan rumus: (Ibrahim, 2018;Rizani, 2019;Rosiadi, 2020). Secara sederhana, SLQ merupakan analisis untuk mengukur sektor basis ekonomi suatu wilayah berdasarkan kontribusi sektor terhadap pertumbuhan ekonomi dengan cara mengukur derajat spesialisasi kegiatan ekonomi berdasarkan pendekatan komparatif (Palembang et al, 2021;Tallo et al, 2018;Widiarsih & Masyaresa, 2020;Yakup, 2019).…”

Section: Indeks Williamson (Iw)unclassified

Analisis Sektor Ekonomi Provinsi Gorontalo Tahun 2017-2022

Olii,

Sudirman,

Halid

2023

Ekuitas

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Indonesia, as an archipelago, has different regional characteristics, so the problem of regional inequality cannot be avoided. The central government authorizes local governments to develop the potential of the region so that each region is required to be able to independently improve its economy. Gorontalo province, as a province of expansion in 2000, is in a strategic location that has great potential in the agricultural sector, as well as in mariculture an agriculture. The research objective is to determine the condition of economic inequality in Gorontalo province and the leading sectors in each district/city of Gorontalo province. Using time series data from 2017-2022, inequality is analyzed using the Williamson Index (IW), and to determine leading sectors, location quotient (LQ) analysis is used. The results show that the level of inequality in Gorontalo province is close to zero, which means that the condition of the level of income and welfare of the population is evenly distributed because the majority of population employment is still dominated by the agriculture, sector, which is the leading sector in Gorontalo, Boalemo, and North Gorontalo districts, and the trade sector, which is the leading sector in Boalemo and Bonebolango districts

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Section: Indeks Williamson (Iw)unclassified

Analisis Sektor Ekonomi Provinsi Gorontalo Tahun 2017-2022

Olii,

Sudirman,

Halid

2023

Ekuitas

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“…The growth-poverty nexus in natural-resource-based regions (or in this case mining-driven provinces) is a source of puzzlement. Moreover, in his study, Rosiadi (2020) raises a question on the phenomenon of lower economic growth in countries with abundant natural resources compared to countries with low natural resources. As can be seen in Figure 1(B), the negative correlation between economic growth and the rate of change in the poverty headcount seems very weak in provinces that are 122 Nurfika rich in mined materials.…”

Section: Mining-driven Economymentioning

confidence: 99%

The Role of the Secondary Sector in Poverty Alleviation in Indonesia

Nurfika

Maswana

2021

JISDeP

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The relationship between economic growth and poverty reduction, although well established, is heterogeneous. The heterogeneity stems not only from socio-economic factors but also from the structure of output growth. In Indonesia, the secondary sector seems to be less poverty-reducing than other sectors. This study examines the impact of sectoral growth on poverty in Indonesia, with particular attention to the disaggregated secondary sector, and also analyzes the relative sensitivities of poverty reduction to the labor-intensive and non-labor-intensive sectors. The empirical analysis uses provincial panel data on Indonesia for the period 2003–2018 and employs the pooled OLS method. The results show that sectoral growth has little effect on improving the condition of the poor in Indonesia. Nevertheless, this conclusion has a high potential to be inappropriate. Perhaps a better conclusion on the linkage between sectoral growth and poverty can be drawn if the characteristics of mining-driven and nonmining-driven provinces in Indonesia are taken into account. In nonmining-driven provinces, the secondary sector pales in comparison to services in alleviating poverty. Six-sector disaggregation of the economy (with or without controlling for the distributional effect through labor intensity) reveals that, within the secondary sector, the subsectors that significantly reduce poverty in nonmining-driven provinces are mining and construction. Mining-driven provinces, however, do not display a linkage between sectoral growth and poverty. The significant role of labor intensity in determining whether sectoral growth is pro-poor suggests that adopting policies that lean toward discouraging businesses from employing labor is inadvisable.

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Determining Leading Economic Sectors, by Large Distribution or Extreme Growth?

Cited by 2 publications

References 45 publications

Analisis Sektor Ekonomi Provinsi Gorontalo Tahun 2017-2022

Analisis Sektor Ekonomi Provinsi Gorontalo Tahun 2017-2022

The Role of the Secondary Sector in Poverty Alleviation in Indonesia

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