Industrialization Impact on Worker Mobility and Land Use in Peri Urban Area (Case study of Semarang District, Indonesia)

Wijaya, Holi Bina; Kurniawati, Husni; Hutama, Surya Tri Esthi Wira

doi:10.1088/1755-1315/123/1/012037

Cited by 11 publications

(9 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It is categorized as a labor-intensive industry. The study results by Wijaya, Kurniawati, & Hutama (2018) show that the labor-intensive industry in the region has attracted many migrant workers from other regions in Central Java Province. Daily workers' mobility or commuters and the growth of settlement areas around the industrial region become issues in Semarang District.…”

Section: Local Economic Factors Determinant Of Wearing Apparel Industrial Agglomerationmentioning

confidence: 95%

The Spatial Patterns and Local Economic Determinant of Industrial Agglomeration in Semarang District, Indonesia

Pangarso

Suharyadi

Rijanta

2020

Geoplanning: Journal of Geomatics and Planning

View full text Add to dashboard Cite

Urbanization creates opportunities for Indonesia, potentially to boost economic growth and create vibrant cities (metropolitan). Urbanization and agglomeration economies should be an important element in Indonesia‘s development as a mid-income country. Manufacturing industry becomes a dominant economic sector in metropolitan area such as Semarang that shows urbanization-industrialization relationship. Industrial agglomeration potentially induces socio-economic changes in the region. To prepare these changes, it is important to understand the spatial dynamics of agglomeration and predict its determinants locally. This paper aims to answer questions related to the spatial patterns and determinants of industrial agglomeration in Semarang Regency, a periphery of Semarang metropolitan. Nearest Neighbor Analysis is used to identify spatial patterns, followed by Ellison and Glaeser Index to measure agglomeration strength, and Specialization Index to measure industrial specialization. Geographically Weighted Regression is used to identify determinants of agglomeration. Analysis uses geographical database of Large and Medium Industries in 2016 and related sub-district based data. Result shows 11 of 21 sub-sectors of industries geographically form clustered (agglomerated) pattern. Six of them are strongly agglomerated (most localized). High specializations in these six sub-sectors occur in 14 sub-districts. Result obtains a significant spatial regression model explains the effect of independent variables simultaneously occurring in three sub-sectors: beverages; wearing apparel; wood and products of wood and cork, except furniture, articles of straw and plaiting materials. Partially, industrial agglomeration by three sub-sector’s specializations in sub-district level is determined by variables: industrial employment; vocational school; Gross Regional Domestic Product; population; arterial road; agricultural land availability; and agricultural households.

show abstract

Section: Local Economic Factors Determinant Of Wearing Apparel Industrial Agglomerationmentioning

confidence: 95%

The Spatial Patterns and Local Economic Determinant of Industrial Agglomeration in Semarang District, Indonesia

Pangarso

Suharyadi

Rijanta

2020

Geoplanning: Journal of Geomatics and Planning

View full text Add to dashboard Cite

show abstract

“…The level of regional development in Indonesia is, generally, closely related to the phenomenon of conversion of agricultural land to non-agriculture [13,31,32], whose growth follows the construction of roads [33]. The added value to agricultural land around the settlement center that is lower than the value added to non-agricultural land triggers changes in land use from agricultural to non-agricultural land.…”

Section: Methodsmentioning

confidence: 99%

Spatiotemporal Distribution Patterns and Local Driving Factors of Regional Development in Java

Pravitasari

Rustiadi

Priatama

et al. 2021

IJGI

View full text Add to dashboard Cite

Although uneven regional development has long been an issue in Java, most parts of the territory experienced an increased level of development over the last two decades. Due to the variance in local background and spatial heterogeneity, the driving factors of the development level should, theoretically, vary over space. Therefore, in this study, we aim to investigate the local factors that influence the development level of Java’s regions. We used the spatiotemporal pattern analysis, ordinary least squares (OLS) regression, and geographically weighted regression (GWR), utilizing the regional development index as the predicted variable, and the social level, economy, infrastructure, land use, and environmental barriers as predictors. As per our results, it was found that the level of development in Java has improved over the past two decades. Metropolitan areas continued to lead this improvement. All the predictors that we examined significantly affected regional development. However, the spatial pattern of the local regression coefficients of Human Development Index (HDI), landslide, paddy conversion, and crime shifted due to changes in the spatial concentration of development activities.

show abstract

“…Furthermore, industrial development is one of the triggers for such migrations (Anzoise, Slanzi et al, 2020). It also brings about considerable changes in land use, population density, and the lifestyle and livelihood of the local residents (Jiang, He et al, 2016;Liu, He et al, 2010;Wijaya, Kurniawati et al, 2018;Yin, Zhao et al, 2020;Zhen, Gao et al, 2017). Within suburban areas, an industrial area can @Licensee SPSD Press foster the transformation process of "desakota" (a location with mixed urban and rural characteristics), especially along the transportation corridors connecting big cities (McGee, 1991).…”

Section: Introductionmentioning

confidence: 99%

Industrial Development-Induced Gentrification

Buchori

Zaki

Pang

et al. 2023

IRSPSD International

View full text Add to dashboard Cite

Industrial development causes the phenomenon of gentrification. However, studies on this topic were relatively rare, especially those giving a case of an enclave-shaped industrial area. Given the rapid industrial development in a suburb of the Semarang Metropolitan Region (SMR), this study aims to observe the phenomenon of industrial development-induced gentrification in the Semarang-Bawen transport corridor, especially in an area near an intercity arterial road and an enclave-shaped area. We used satellite image analysis complemented by visual observation and descriptive analysis of the data from 100 respondents for each location to be compared to each other in this study. The results show that unplanned and rapid industrial development has stimulated suburbanization in the study area. Then, residential and low-intensity commercial gentrification followed. They also show that the gentrification process in both industrial areas was quite similar. However, the area near the arterial road had a slightly higher degree of gentrification, and its residents seemed more likely to welcome migrants. Even though previous studies mentioned that social segregation is the negative impact of gentrification, our case study generally showed that the locals felt comfortable living side by side with the migrants. We suggest that the social harmony between the locals and the migrants could be encouraged by the local stakeholders.

show abstract

Industrialization Impact on Worker Mobility and Land Use in Peri Urban Area (Case study of Semarang District, Indonesia)

Cited by 11 publications

References 9 publications

The Spatial Patterns and Local Economic Determinant of Industrial Agglomeration in Semarang District, Indonesia

The Spatial Patterns and Local Economic Determinant of Industrial Agglomeration in Semarang District, Indonesia

Spatiotemporal Distribution Patterns and Local Driving Factors of Regional Development in Java

Industrial Development-Induced Gentrification

Contact Info

Product

Resources

About