Comparative regional GDP analysis: case study of Croatia

Jurun, Elza; Pivac, Snježana

doi:10.1007/s10100-010-0163-6

Cited by 10 publications

(7 citation statements)

References 6 publications

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“…Cluster analysis refers to a number of different allgorithms and methods used for grouping objects of similar kind into respective categories (Jurun and Pivac 2011). Therefore, factor scores are used as input variables for cluster analysis.…”

Section: Cluster Analysis Resultsmentioning

confidence: 99%

Multivariate analysis of determinants of Internet banking use in European Union countries

Dumičić

Časni

Palić

2014

Cent Eur J Oper Res

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The main objective of the paper is to analyse the determinants of Internet banking use in European Union countries based on EUROSTAT data for 2011. The considered determinants of Internet banking use are selected in line with relevant theoretical and empirical research and submitted to factor analysis which yielded two factors. The first extracted factor comprises Information and Communication Technology (ICT) infrastructure, i.e. broadband penetration rate and level of Internet access. The second factor comprises individuals' level of Internet skills and GDP per capita. On the basis of the two mentioned factors, European Union countries are grouped into two clusters using cluster analysis. In order to analyse the impact of selected variables, a multiple regression analysis of Internet banking use is performed using extracted factors as independent variables. The regression analysis shows that an increase in ICT infrastructure leads to an increase in Internet banking use.

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Section: Cluster Analysis Resultsmentioning

confidence: 99%

Multivariate analysis of determinants of Internet banking use in European Union countries

Dumičić

Časni

Palić

2014

Cent Eur J Oper Res

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“…Jurun & Pivac (2011) have conducted a comparative study regarding GRDP in Croatia. The country is divided into three parts, with areas separated based on geography and politics instead of social and economic factors.…”

Section: Literature Reviewmentioning

confidence: 99%

Determinant of gross regional domestic product (GRDP) in Yogyakarta special province

Feriyanto

2014

ejem

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The aim of this study is to analyze the influence of employment, investment and the number of tourists towards GRDP in Yogyakarta. The data used in this research is a time series data for the period of 1999-2013. This research employed multiple regression and dynamic regression, namely partial adjustment model. The multiple regression estimation shows that employment has negative effect to GRDP, meanwhile the investment and the number of tourists have a positive relation towards dependent variable. Moreover, based on partial adjustment model, adjustment process also influences the output accumulation in Yogyakarta. Therefore, to develop the local economy, the government may invite more tourists as well as increase investment in Yogyakarta. AbstrakTujuan penelitian ini adalah menganalisis pengaruh jumlah orang bekerja, investasi dan jumlah wisatawan terhadap PDRB harga konstan di Yogyakarta. Data yang digunakan dalam analisis ini adalah data runtut waktu (time series) pada periode 1999-2013. Penelitian ini menggunakan metode regresi berganda dan regresi dinamis model penyesuaian parsial. Hasilnya analisis regresi berganda menunjukkan bahwa jumlah orang bekerja berpengaruh signifikan dan negatif terhadap PDRB, sedangkan investasi dan jumlah wisatawan berpengaruh signifikan dan positif terhadap PDRB. Selanjutnya, berdasarkan model penyesuaian parsial, terjadi proses penyesuaian yang tinggi pada akumulasi PDRB. Untuk meningkatkan perekonomian lokal, pemerintah daerah perlu mengundang wisatawan lebih banyak, dan juga meningkatkan investasi di Yogyakarta.

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“…Regional gross domestic product (GDP) can fully reflect basic economic indicators such as a region's economic growth rate and changes in economic scale, which is equal to the sum of the added value of various industries in the region [1]. It is widely used all over the world and has become a general macroeconomic indicator to measure regional economic conditions [2]. The effective forecasting of regional GDP in economic operation and development can not only determine a certain degree of macroeconomic trend and guide the healthy development of macroeconomics but also provide a crucial basis for sustainable urban development [3].…”

Section: Introductionmentioning

confidence: 99%

A Novel Multi-Factor Three-Step Feature Selection and Deep Learning Framework for Regional GDP Prediction: Evidence from China

Yan

2022

Sustainability

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Gross domestic product (GDP) is an important index reflecting the economic development of a region. Accurate GDP prediction of developing regions can provide technical support for sustainable urban development and economic policy formulation. In this paper, a novel multi-factor three-step feature selection and deep learning framework are proposed for regional GDP prediction. The core modeling process is mainly composed of the following three steps: In Step I, the feature crossing algorithm is used to deeply excavate hidden feature information of original datasets and fully extract key information. In Step II, BorutaRF and Q-learning algorithms analyze the deep correlation between extracted features and targets from two different perspectives and determine the features with the highest quality. In Step III, selected features are used as the input of TCN (Temporal convolutional network) to build a GDP prediction model and obtain final prediction results. Based on the experimental analysis of three datasets, the following conclusions can be drawn: (1) The proposed three-stage feature selection method effectively improves the prediction accuracy of TCN by more than 10%. (2) The proposed GDP prediction framework proposed in the paper has achieved better forecasting performance than 14 benchmark models. In addition, the MAPE values of the models are lower than 5% in all cases.

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Comparative regional GDP analysis: case study of Croatia

Cited by 10 publications

References 6 publications

Multivariate analysis of determinants of Internet banking use in European Union countries

Multivariate analysis of determinants of Internet banking use in European Union countries

Determinant of gross regional domestic product (GRDP) in Yogyakarta special province

A Novel Multi-Factor Three-Step Feature Selection and Deep Learning Framework for Regional GDP Prediction: Evidence from China

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