Application of the Generalized Method of Moment Arellano-Bond on Economic Growth in Central Java Province in 2011-2018

Besides frontiers and Data Enveloped Analysis approaches, a combination between the aggregate production function and technical efficiency can be performed using the Corrected Ordinary Least Square approach. Unfortunately, there are no studies in Indonesia that use this approach. This paper mainly studies how the Corrected Ordinary Least Square approach combines aggregate production function and technical efficiency. The methods are aggregate production function modeling, aggregate production function correcting, and technical efficiency measuring. The data are Gross Regional Domestic Product at a constant price, the number of workers, investment expenditure, education, and health data of Indonesian provinces from 2015 to 2020. There are three results. First, the Indonesian fixed effect panel data aggregate production function is the best model. In this model, Gross Regional Domestic Product at a constant price is influenced by the number of workers, investment expenditure, and human capital. Human capital consists of education and health level. Second, the deterministic frontier aggregate production function shifts the best-fixed effect model so that the constant becomes –15.36. Third, the Indonesian technical efficiency when no factors influence inefficiency is on average 0.9936. All the results indicate that human capital, aggregate production and technical efficiency combination, and the Corrected Ordinary Least Square approach are practical values.

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Indonesian SDGS Problems: Technical Inefficiency Due to Economic Crime and Income Inequality

Riyardi,

Hasmarini,

Purwaningsih

et al. 2024

jlsdgr

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Objective: The study objective is investigating the technical inefficiency resulted from economic crime and its association with income inequality, with the study aims are modeling a stochastic frontier aggregate production function, measuring inefficiency, and mapping the economic inefficiency due to economic crime with income inequality association. Theoretical Framework: The main concepts are Crime Economics, Stochastic Frontier Analysis, and Aggregate Production Function. Method: The methodology comprises a stochastic frontier aggregate production function modelling to calculate technical inefficiency due to economic crime and mapping technical inefficiency due to economic crime with income inequality association. The data is Indonesian provincial data from 2016 to 2019 provided by Indonesian Statistics. Results and Discussion: The modelling reveals that aggregate production stochastic frontier is established and technical inefficiency due to economic crime is calculated. The mapping shows that some provinces experience positive association between technical inefficiency due to economic crime with income inequality. Research Implications: This study implies the importance of concerning theoritically and practically to technical inefficiency due to economic crime and its association with income inequality. These implication can encompass economic, social, and security sectors. Originality/Value: This study contributes to the literature by modeling the stochastic frontier aggregate production function that accommodates economic crime, measuring technical inefficiency due to economic crime, and mapping the technical inefficiency due to the economic crime with income inequality association. The relevance and value of this research are evidenced by SDGs components such as decent work and economic growth, reduced inequalities, and peace, justice, and strong institutions.

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Application of the Generalized Method of Moment Arellano-Bond on Economic Growth in Central Java Province in 2011-2018

Cited by 3 publications

References 2 publications

Dynamic panel regression with GMM estimation for analysis of gross regional domestic product in Sumatera, Java, and Kalimantan

Dynamic panel regression with GMM estimation for analysis of gross regional domestic product in Sumatera, Java, and Kalimantan

Combining aggregate production function and technical efficiency: Indonesian case study

Indonesian SDGS Problems: Technical Inefficiency Due to Economic Crime and Income Inequality

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