A Comparative Study of Inter-Provincial Inclusive Economic Growth in Indonesia 2010-2015 with Approach Methods of ADB, WEF, and UNDP

Sitorus, Agnes Vera Yanti; Arsani, Ade Marsinta

doi:10.36574/jpp.v2i1.32

Cited by 7 publications

(8 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This calculation uses a simple average of the three indicators used, poverty (percentage of poor people), inequality (Gini ratio), and labor (inverse ratio of employment to population). However, due to limited data at the cities and districts level, the inverse ratio of employment to population is replaced by the open unemployment rate (Sitorus & Arsani, 2018). The data has different units so that it must be normalized by the formula:…”

Section: Data Analysis Methodsmentioning

confidence: 99%

“…To know about this issue, several world and national institutions have made calculations regarding inclusiveness. One of them is the United Nation Development Program (UNDP) which makes calculations with indicators of poverty, inequality, and employment (Sitorus & Arsani, 2018) In addition to the calculation of inclusive growth which gives results in the form of an inclusive index, some factors influence the level of achievement of the index. The factors driving inclusive growth are foreign investment and trade openness.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

The Effect of Trade Openness and Investment Realization on Inclusive Economic Growth in Cities and Districts of East Java in 2015-2019

Rahmawati

Purwanti

Ramadhani

2021

Nusantara Science and Technology Proceedings

View full text Add to dashboard Cite

Economic growth is hoped to have a positive impact and also increase the welfare of the community. a good inclusive economic growth requires a study on this matter, it can be started by looking at what factors can fulfill inclusive economic growth. So, this research aims to know the inclusive economic growth of cities and districts in East Java in 2015-2019 and to look at the factors that can influence the achievement of inclusive economic growth. The research method used is the calculation of inclusive growth created by UNDP and panel data linear regression analysis. In 2019, all regions at the level were filled by districts, while the city was still at the intermediate level. The results of the regression analysis show that trade openness and investment realization affect the inclusive economic growth of cities and districts in East Java in 2015-2019.

show abstract

Section: Data Analysis Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

The Effect of Trade Openness and Investment Realization on Inclusive Economic Growth in Cities and Districts of East Java in 2015-2019

Rahmawati

Purwanti

Ramadhani

2021

Nusantara Science and Technology Proceedings

View full text Add to dashboard Cite

show abstract

“…Several research results have shown the positive benefits of inclusive economic growth (A. F. Anwar et al, 2021;Aoyagi & Ganelli, 2015;Cichowicz & Rollnik-Sadowska, 2018;Jiang et al, 2022;Lee & Sissons, 2016;Sholihah et al, 2013;Sitorus & Arsani, 2018). Aoyagi and Ganelli (2015) found that economic growth in Asia was increasingly rapid and could reduce poverty, but inequality worsened from 1992-2011.…”

Section: Introductionmentioning

confidence: 99%

Regional Financial Performance and Inclusive Economic Development: Empirical Evidence From Provinces in Indonesia

Ihwandi,

Khoirunurrofik

2023

J. Bina Praja

View full text Add to dashboard Cite

This study aims to analyze the relationship between regional financial performance and inclusive economic development in Indonesia using secondary data from 34 provinces in Indonesia from 2011-2021. The data sources for this study were collected from the National Development Planning Agency, Directorate General of Fiscal Balance, and Statistics Indonesia. This study uses panel data regression analysis with a fixed effect model because it can reduce bias compared to other panel data models, especially those caused by unobservable time-invariant variables. The results showed that regional financial performance, as measured by the fiscal decentralization ratio, fiscal independence ratio, capital expenditure ratio, and social assistance expenditure ratio, significantly influenced inclusive economic development in Indonesia. Fiscal decentralization and social assistance spending have a positive relationship with inclusive economic development. Meanwhile, fiscal independence and capital expenditure have a negative relationship with inclusive economic growth.

show abstract

“…where y i is the value of the ith observation and a y is the average value of all y i observations [69].…”

mentioning

confidence: 99%

“…The Gini coefficient is a measure of the inequality of the distribution of the studied variable, it has a value between 0 and 1 (the concentration coefficient was calculated in the Statistica program). An index with a value of 0 indicates no inequality, while an index with a value of 1 means complete inequality [69].…”

mentioning

confidence: 99%

Green Economy and Waste Management as Determinants of Modeling Green Capital of Districts in Poland in 2010–2020

Misztal

Dziekański

2023

IJERPH

View full text Add to dashboard Cite

Waste management must comply with the principle of sustainable development. A green economy is one of the paths to sustainable development and response to environmental problems. Waste should be a raw material that can be reused, processed, or turned into energy. The aim of the article is to assess the relationship and present the concept of zero waste and green economy, and to show selected framework conditions for their development in the county. To study the formation of phenomena depending on the location of a given object in the socio-economic space, a synthetic measure, the similarity matrix, the Gini coefficient was used. The analysis took into account features describing the condition of the natural environment, links between the natural environment, economy and society, the quality of life of the population, economic policy, and instruments influencing the economy, society and the environment. Empirical data were obtained from the local database of the Central Statistical Office for the years 2010–2020. The obtained results indicate the existence of dependencies in the development of a green economy and waste management in the region. The synthetic measure of waste management is from 0.43 to 0.61 in 2010, from 0.39 to 0.55 in 2020; green economy from 0.42 to 0.55 in 2010 and from 0.43 to 0.56 in 2020. Waste management is based on multidimensional waste management, taking into account economic, ecological and social aspects. Economic activity is related to the degradation of the natural environment. The green economy should assume the elimination of waste and environmental threats and the preservation of their value. The green economy is becoming a factor inducing structural changes in the economy and social life, helping in the most effective, sustainable and efficient use of limited resources. In the literature on the subject, this type of research is carried out at the level of regions or voivodeships. The authors use their own sets of indicators or their own indicators aggregated according to the available data at the poviat level. The obtained results can be an important source of information for local government authorities about disproportions between units.

show abstract

A Comparative Study of Inter-Provincial Inclusive Economic Growth in Indonesia 2010-2015 with Approach Methods of ADB, WEF, and UNDP

Cited by 7 publications

References 0 publications

The Effect of Trade Openness and Investment Realization on Inclusive Economic Growth in Cities and Districts of East Java in 2015-2019

The Effect of Trade Openness and Investment Realization on Inclusive Economic Growth in Cities and Districts of East Java in 2015-2019

Regional Financial Performance and Inclusive Economic Development: Empirical Evidence From Provinces in Indonesia

Green Economy and Waste Management as Determinants of Modeling Green Capital of Districts in Poland in 2010–2020

Contact Info

Product

Resources

About