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Preprint ARTICLE | doi:10.20944/preprints202409.1203.v1

Social Trust and Support Networks: A Regional Analysis of Italy

Massimo Arnone, Angelo Leogrande, Carlo Drago, Alberto Costantiello

Subject: Business, Economics And Management, Econometrics And Statistics Keywords: Altruism; Social Trust; k-Means; Machine-Learning; Silhouette Coefficient; Elbow Method; Panel Data; Regional Disparities

Online: 17 September 2024 (06:11:10 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202409.1003.v1

Analizying Forecasting Errors in 3PL Activity: A Case Study on Distribution Channels Using Stl Decomposition

Maciej Wolny, Mariusz Kmiecik

Subject: Business, Economics And Management, Econometrics And Statistics Keywords: time series of forecasting errors; 3PL; logistics operator; demand forecasting; distribution channels

Online: 12 September 2024 (15:53:20 CEST)

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Purpose: Decomposition analysis of forecasting errors relating to time series generated by a 3PL logistics operator for ten distribution channels operated by the logistics operator. Design / methodology / approach: The studies were focused on the analysis of 10 distribution channels operated by the 3PL logistics operator who used a forecasting tool based on a modified ARIMA algorithm to prepare forecasts. In this paper, R environment was used. The studies focused on the visual analysis of forecasting error series, on the analysis of the basic parameters of the error time series distributions, on the analysis of STL decomposition and statistical tests relating to trend and seasonality. Findings: The forecasting error analysis indicates that there are different patterns and characteristics of errors for individual channels. The statistical test results for various channels display significant differences between forecast groups in some cases. This suggests that the forecasting tool can be more accurate for some than for other channels. Research limitations: Logistic operations are usually based on numerous variables which may influence forecast quality. Moreover, the absence of any information on the forecasting models and input data used may prevent complete understanding of error sources. Value of the paper: The studies described in this paper emphasized valuable conclusions which can be drawn from the analysis of time series forecasting errors in the context of logistic operations. The findings indicated the need for an adapted approach to forecasting for each and every channel, the importance of improving the forecasting tool and the potential to optimize the forecast accuracy by focusing on the trend and seasonality. For this reason, the analysis is an important input into the theory and practice relating to demand forecasting by logistics operators in distribution networks. The studies contribute to the works related to demand forecasting by logistics operators.

Preprint ARTICLE | doi:10.20944/preprints202409.0729.v1

Credit Card Default Prediction: An Empirical Analysis on Prediction Performance Between Statistical and Machine Learning Methods

Rakshith Bhandary, Bidyut Ghosh

Subject: Business, Economics And Management, Econometrics And Statistics Keywords: Credit card default; Confusion matrix; Deep Neural Network; Default prediction; Linear Discriminant Analysis; Logistic regression; Machine learning; Random Forest; Support Vector Machine; XGBoost

Online: 10 September 2024 (09:56:57 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202409.0355.v1

A Commentary on U.S. Sovereign Debt Persistence and Non-Linear Fiscal Adjustment

Vladimir Andric, Dusko Bodroza, Mihajlo Djukic

Subject: Business, Economics And Management, Econometrics And Statistics Keywords: SETAR model; United States; sovereign debt; persistence; non-linear fiscal adjustment

Online: 4 September 2024 (09:58:22 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202408.2104.v1

Research on the Application of Conjoint Analysis Method in Carbon Tax Pricing for the Sustainable Development Process of China

Jiahao Zhang, Chaolin Li, Xiangnan Ji, Li Zhang, Yanjun Chen

Subject: Business, Economics And Management, Econometrics And Statistics Keywords: Carbon tax; Willingness to pay; Transparency; Conjoint analysis

Online: 29 August 2024 (11:36:42 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202408.1786.v1

A Contrast Tree Based Approach to Two-Population Models

Matteo Lizzi

Subject: Business, Economics And Management, Econometrics And Statistics Keywords: contrast trees; small population; life tables; mortality spread modelling; machine learning applications

Online: 27 August 2024 (04:58:15 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202408.1603.v1

Statistical Modelling of Football Players’ Transfer Fees Worldwide

Raffaele Poli, Roger Besson, Loïc Ravenel

Subject: Business, Economics And Management, Econometrics And Statistics Keywords: football; soccer; transfer value; transfer fees; econometric model; world

Online: 22 August 2024 (08:25:36 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202408.1278.v1

Evaluating the Impact of Financial Development and Green Technological Innovation on Environmental Quality in BRICS Countries: A Model-Based Analysis

Mohammed Alhashim Alhasim, Mohd Ziaur Rehman, SHOAIB ANSARI, Mohammed Rashid

Subject: Business, Economics And Management, Econometrics And Statistics Keywords: Broad Money; Green technological innovation; Augmented Mean group; Environmental Quality

Online: 19 August 2024 (12:16:07 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202408.0246.v1

Estimation of Empirical Models for Margins of Exports with Unknown Non-linear Functional Forms: A Kernel-Regularized Least Squares (KRLS) Approach

Joachim Wagner

Subject: Business, Economics And Management, Econometrics And Statistics Keywords: margins of exports; empirical models; non-linear relationships; kernel-regularized least squares; krls

Online: 5 August 2024 (12:05:28 CEST)

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Preprint REVIEW | doi:10.20944/preprints202408.0062.v1

A Survey of Quantitative Techniques in Electricity Consumption – A Global Perspective

Atif Maqbool Khan, Artur Wyrwa

Subject: Business, Economics And Management, Econometrics And Statistics Keywords: Survey; Quantitative Methods; Energy Consumption

Online: 1 August 2024 (11:55:20 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202407.2620.v1

Using an Ensemble of Machine Learning Algorithms to Predict Economic Recession

Leakey Omolo, Nguyet Nguyen

Subject: Business, Economics And Management, Econometrics And Statistics Keywords: Economic crisis; machine learning; ensemble model; recession probability

Online: 31 July 2024 (18:56:20 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202407.2349.v1

The Interplay of Happiness and Sustainability: A Multidimensional Scaling and K-means Cluster Approach

Emmanuel Detrinidad, Victor Raul Lopez Ruiz

Subject: Business, Economics And Management, Econometrics And Statistics Keywords: Happiness; Sustainability; Cultural values; Multidimensional scaling (MDS) K-means clustering; Happiness indices; Sustainable Development Goals Index (SDGI)

Online: 30 July 2024 (07:23:01 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202407.1680.v1

A Novel Approach for Testing Fractional Cointegration in Panel Data Models with Fixed Effects

Saidat Fehintola Olaniran, Oyebayo Ridwan Olaniran, Jeza Allohibi, Abdulmajeed Atiah Alharbi

Subject: Business, Economics And Management, Econometrics And Statistics Keywords: Fractional Cointegration; Panel data; Fixed effect models; Residual-based test

Online: 22 July 2024 (09:58:26 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202407.1196.v1

Impact of Renewable and Non-Renewable Energy Consumption on the Production of the Agricultural Sector in the European Union

Błażej Suproń, Janusz Myszczyszyn

Subject: Business, Economics And Management, Econometrics And Statistics Keywords: renewable energy; agriculture; growth; VAR model; European Union; Panel data

Online: 15 July 2024 (13:37:51 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202407.0569.v1

The Differential Error Components Models under Treatment Effect Heterogeneity

Yongtao Jin

Subject: Business, Economics And Management, Econometrics And Statistics Keywords: Generalized least square; Error component; Fixed effects; Random effects; Treatment effect heterogeneity

Online: 8 July 2024 (09:04:22 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202407.0302.v1

Extending the Fixed-Effects Model on Nonlinear Least Squares

Haitao Duan, Muquan Zou, Jiankun Yang, Vanha Tran

Subject: Business, Economics And Management, Econometrics And Statistics Keywords: panel data analysis; fixed-effects; time-effects; curve_fit; nonlinear squares; function distance

Online: 3 July 2024 (09:45:08 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202406.1692.v1

Examining the Influence of Renewable Energy Consumption, Technological Innovation, and Export Diversification on Economic Growth: Empirical Insights from E-7 Nations

Mohammed Alhasim, Mohd Ziaur Rehman, SHOAIB ANSARI, Parvez Ahmaed

Subject: Business, Economics And Management, Econometrics And Statistics Keywords: Renewable energy consumption; Technological innovation; Export diversification; Emerging economies (E-7); Panel data analysis; PMG-ARDL estimator

Online: 25 June 2024 (00:27:48 CEST)

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The present research focuses on the endogenous development theory and investigates the relationship between economic growth (dependent variable) and renewable energy consumption, technological innovation, and export diversification (independent variables) in seven emerging economies known as the E-7. Previous studies have examined these factors individually but have not explored their combined impact on the E-7 economies. Therefore, this study contributes to the existing literature on the effects of renewable energy consumption, technological advancement, and export diversification on economic development. The study analyses the dynamic connection among these variables in seven selected emerging countries: Brazil, China, Indonesia, India, Mexico, Russia, and Turkey. Panel data from 1990 to 2022 is utilized, and various methodologies, including panel cointegration, the PMG-ARDL estimator, and robustness tests such as FMOLS and DOLS, are employed. Empirical inferences are drawn using the Dumitrescu-Hurlin Panel Causality (DHC) test, and the long-run relationships among the variables are validated using the Westerlund residual cointegration tests. The results from the PMG-ARDL estimator show that renewable energy consumption, technological advancement, and export diversification have a significant and positive impact on economic expansion, confirming the validity of the endogenous growth model in the E-7 countries. The control variable of the financial sector has a positive but insignificant effect on economic growth, while trade openness has a negative and significant effect. The DHC test results indicate a neutral feedback effect of renewable energy consumption on economic growth. The findings also reveal a unidirectional causal relationship between technological innovation and economic growth. Overall, these findings provide valuable insights for economic policymakers in the E-7 countries. By removing barriers to renewable energy consumption, technological innovation, and export diversification, policymakers can promote sustainable economic development.

Preprint ARTICLE | doi:10.20944/preprints202406.1565.v1

The Impact of R&D Investment on the Performance of Portuguese Companies

Ana Santos, Ana Bandeira, Patrícia Ramos

Subject: Business, Economics And Management, Econometrics And Statistics Keywords: Intangible Assets; Investment; R&D; Financial Performance; Generalized Method of Moments

Online: 24 June 2024 (10:58:55 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202406.1652.v1

The People You Can Count on in the Italian Regions

Massimo Arnone, Angelo Leogrande

Subject: Business, Economics And Management, Econometrics And Statistics Keywords: Welfare Economics; Altruism; Role and Effects of Psychological; Emotional, Social, and Cognitive Factors on Decision Making; Labor Force and Employment; Size; Structure; Inequality

Online: 24 June 2024 (08:44:27 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202406.1526.v1

Time Series Forecasting with Many Predictors

Shuo-Chieh Huang, Ruey S Tsay

Subject: Business, Economics And Management, Econometrics And Statistics Keywords: Supervided Principal Component Analysis; Diffusion index; Lasso; Dynamic dependence

Online: 21 June 2024 (15:12:24 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202406.1434.v1

Forecasting Volatility of SOFIX Index with GARCH Models

Plamen Petkov, Margarita Shopova, Tihomir Varbanov, Evgeni Ovchinnikov, Angelin Lalev

Subject: Business, Economics And Management, Econometrics And Statistics Keywords: SOFIX; forecasting; modeling; GARCH; EGARCH; IGARCH; Component GARCH; GJR-GARCH

Online: 20 June 2024 (14:43:08 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202406.1093.v1

The ESG Determinants of Mental Health Index Across Italian Regions: A Machine Learning Approach

Emanuela Resta, Giancarlo Logroscino, Silvio Tafuri, Preethymol Peter, Chiara Noviello, Alberto Costantiello, Angelo Leogrande

Subject: Business, Economics And Management, Econometrics And Statistics Keywords: Mental Health Index; Machine Learning; ESG; Regional Inequalities

Online: 17 June 2024 (08:35:30 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202406.1070.v1

The Mental Health Index across the Italian Regions in the Esg Context

Emanuela Resta, Giancarlo Logroscino, Silvio Tafuri, Preethymol Peter, Noviello Chiara, Alberto Costantiello, Angelo Leogrande

Subject: Business, Economics And Management, Econometrics And Statistics Keywords: ESG; Mental Health Index; Panel Data; Data Analysis

Online: 17 June 2024 (08:33:43 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202406.1068.v1

Macroeconomic Factors Affecting Out-of-Pocket Payments for Health: Evidence from Panel Data Analysis of SAARC Countries

Khem Raj Subedi

Subject: Business, Economics And Management, Econometrics And Statistics Keywords: macroeconomic factors; health expenditure; out-of-pocket payments; panel data analysis

Online: 17 June 2024 (08:02:06 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202406.0411.v1

An Analysis of the Eco-Efficiency of the Agricultural Industry in the Brazilian Amazon Biome

Gabriela Mayumi Saiki, André Luiz Marques Serrano, Gabriel Arquelau Pimenta Rodrigues, Carlos Rosano-Peña, Fabiano Mezadre Pompermayer, Pedro Henrique Melo Albuquerque, Mario Del Roble Pensado-Leglise

Subject: Business, Economics And Management, Econometrics And Statistics Keywords: Agricultural Industry; Amazon; Bootstrap; Eco-efficiency; DEA

Online: 10 June 2024 (12:35:31 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202405.1444.v1

Does Climate Change and Energy Consumption Affect the Food Security of European Union Countries? Empirical Evidence from a Panel Study

Irena Łącka, Błażej Suproń, Iwona Szczepaniak

Subject: Business, Economics And Management, Econometrics And Statistics Keywords: cereal production; climate change; European Union; FGLS; CO2; energy; food security; panel data

Online: 23 May 2024 (08:21:02 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202405.1099.v1

Empowering New-Quality Productivity Development through Artificial Intelligence: Impact Mechanisms and Spatial Spillover

Xuesong Gao, Xuefang Liu

Subject: Business, Economics And Management, Econometrics And Statistics Keywords: Artificial Intelligence; New-Quality Productivity; Kernel Density Estimation; Moran's I Index; Two-Way Fixed Effects Model; Mediation Effect Model; Spatial Durbin Model

Online: 16 May 2024 (12:02:55 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202405.0995.v1

GDP and Household Food Waste in the Digital Era: How E-Commerce Can Transform European Sustainability Practices

Adrian Daniel Gencia, Ioana Mihaela Balan

Subject: Business, Economics And Management, Econometrics And Statistics Keywords: e-commerce; household food waste; regions; Europe; GDP; 2030 Agenda SDGs

Online: 15 May 2024 (12:29:33 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202405.1008.v1

Survey Data Processing for Modelling through Artificial Neural Networks (ANNs)

Joaquín Texeira-Quirós, Maria do Rosário Texeira Justino, António José Gonçalves, Marina Godinho Antunes, Pedro Ribeiro Mucharreira

Subject: Business, Economics And Management, Econometrics And Statistics Keywords: survey; data; processing; modelling; neural networks; ANN

Online: 15 May 2024 (08:30:19 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202405.0774.v1

Optimization of a Dynamic Supply Chain Network: Kinetic Modeling of E-Waste Plants

Amit Chattopadhyay, Biswajit Debnath, T Krishna Kumar

Subject: Business, Economics And Management, Econometrics And Statistics Keywords: Supply chain management; E-waste Management; Cleaner production; Multiple criteria analysis; Global optimization

Online: 13 May 2024 (08:27:03 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202404.1979.v1

Investigating the Casual Impact of Oil Price Dynamics on Inflation Using Wavelet Analysis on G20 Countries

Haitham zaker Khoj, Mohammed Ahmed Saeed

Subject: Business, Economics And Management, Econometrics And Statistics Keywords: Asymmetries; Causal Impact; G20 Countries; Global Disruptions; Inflation; Oil Prices; Wavelet Analysis

Online: 30 April 2024 (11:42:18 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202404.1019.v1

On Static and Dynamic Strategic Approaches for Allocating and Managing Asset Values in Presence of Financial Inflation

Xin Gao, Feifan Ni, Yingmei Wang, Bowen Jin, Luyao Zhang, Yudong Zhang

Subject: Business, Economics And Management, Econometrics And Statistics Keywords: Static fiscal management; dynamic strategic approach; asset appreciation; theory of broad money; dynamic stochastic general equilibrium (DSGE)

Online: 16 April 2024 (16:21:32 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202404.0921.v1

Measurement and Spatiotemporal Dynamic Evolution of China's High-Quality Economic Development

Liang Yin, Xiaodong Bai, Xuelian Sun

Subject: Business, Economics And Management, Econometrics And Statistics Keywords: high-quality development; five principles of development; entropy method; cluster analysis; kernel density estimation

Online: 15 April 2024 (08:00:31 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202404.0546.v1

Companies with at Least 10 Employees Selling Online across the Italian Regions

Angelo Leogrande

Subject: Business, Economics And Management, Econometrics And Statistics Keywords: Innovation; Innovation and Invention; Management of Technological Innovation and R&; D; Technological Change; Intellectual Property and Intellectual Capital

Online: 8 April 2024 (16:06:24 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202404.0517.v1

Analysis of Immediate Effects of the COVID-19 Pandemic on Small and Medium-Sized Enterprises (SMEs) in Rwanda: Firm-Level Data Analysis

Emmanuel Munyemana, Joseph K. Mung’atu, Charles Ruranga

Subject: Business, Economics And Management, Econometrics And Statistics Keywords: wood; firm; COVID-19 and SMEs; regression models

Online: 8 April 2024 (08:46:54 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202404.0133.v1

A Systemic Approach on Product Life Cycle for Product Development Process in Agriculture

Franciele Lourenço, Marcelo Gonçalves, Osiris Canciglieri Júnior, Izamara Palheta Dias, Guilherme Benitez, Elpidio Nara

Subject: Business, Economics And Management, Econometrics And Statistics Keywords: Sustainability Practices; Life-Cycle Assessment; Product Development Process; Market Perfor-mance; Systemic approach.

Online: 2 April 2024 (16:05:11 CEST)

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For a long time, a company's Product Development Process (PDP) was seen as supporting the operations department, although PDP decisions and mistakes have a considerable impact on market performance. This is critical even in agriculture where bad habits and practices in the PDP can lead rural producers to great losses. Therefore, this research investigated the effect on the market performance of rural products (banana) in the southern region of Brazil, based on two analyses: (i) how sustainability practices support the PDP phases and (ii) how the phases of the Product Life Cycle Assessment (LCA) mediate sustainability practices and PDP phases. This study presents a quantitative analysis using Confirmatory Factor Analysis (CFA) and hierarchical ordinary least squares (OLS) regression of data obtained from a survey of 110 rural producers who directly participate in the banana production and planning process in southern Brazil. Our results shows that sustainability practices support the PDP, and we confirm that the product development and post-development phase has an effect on market performance. In addition, we identified that in the pre-development phase of the PDP, dealing with rural products (bananas), the maturity stage of the LCA mediates sustainability. In the PDP development phase, we concluded that rural families that develop economic and environmental practices with their products in the market growth phase may have reduced results. As for the post-development phase of the PDP, we conclude that when companies invest in environmental and social practices, there is a complete mediation of the effect, where these practices lose strength if the product is in the introduction and maturity phases in the market. As originality, our study contributed to demonstrate value on the product life cycle for the product development process in agriculture using sustainability practices through a systemic approach, filling the gap in the literature due to the lack of research on these areas seen in an integrated way.

Preprint ARTICLE | doi:10.20944/preprints202403.1449.v1

On the Economic Feasibility of Creating a Digital Track Model in Kazakhstan's Railway System

Asset Durmagambetov

Subject: Business, Economics And Management, Econometrics And Statistics Keywords: digital track model; curvature error; mathematical model; economic feasibility of using DTM; optimal management

Online: 25 March 2024 (08:53:46 CET)

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Preprint CASE REPORT | doi:10.20944/preprints202403.1325.v1

Deep Learning-Based Approach for Optimizing Urban Commercial Space Expansion Using Artificial Neural Networks

Dawei Yang, Jiahui Zhao, Ping Xu, Bin Du, Jiahua Dong

Subject: Business, Economics And Management, Econometrics And Statistics Keywords: commercial space; points of interest; deep learning; BP Neural Network

Online: 22 March 2024 (05:10:56 CET)

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Preprint ARTICLE | doi:10.20944/preprints202403.0337.v1

The Effects of Local Food on Carbon Emissions: The Case of the Republic of Korea

Da-Eun Jung, Sung-Bum Yang, Seung-Ryong Yang

Subject: Business, Economics And Management, Econometrics And Statistics Keywords: local food; food miles; carbon emissions; environment; carbon footprint

Online: 6 March 2024 (14:03:26 CET)

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Preprint ARTICLE | doi:10.20944/preprints202401.2197.v2

Bayesian Feature Extraction for Two-Part Latent Variable Model with Polytomous Manifestations

Qi Zhang, Yi-Hui Zhang, And Yemao Xia

Subject: Business, Economics And Management, Econometrics And Statistics Keywords: Two-part latent variable model; spike and slab prior; Bayesian lasso; MCMC sampling; CHFS

Online: 1 February 2024 (08:47:59 CET)

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Preprint ARTICLE | doi:10.20944/preprints202401.2197.v1

Bayesian Feature Extraction for Two-Part Latent Variable Model with Polytomous Manifestations

Qi Zhang, Yi-Hui Zhang, And Yemao Xia

Subject: Business, Economics And Management, Econometrics And Statistics Keywords: Two-part latent variable model; spike and slab prior; Bayesian lasso, MCMC sampling; CHFS

Online: 31 January 2024 (10:42:15 CET)

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Preprint ARTICLE | doi:10.20944/preprints202401.0946.v1

Analyzing Size of Loss Frequency Distribution Patterns: Uncovering the Impact of the COVID-19 Pandemic

Shengkun Xie, Yuanshun Li

Subject: Business, Economics And Management, Econometrics And Statistics Keywords: Rate-making; Predictive Analytics; Insurance Rate Regulation; COVID-19 Pandemic; Size of Loss Distribution

Online: 12 January 2024 (07:09:24 CET)

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Preprint ARTICLE | doi:10.20944/preprints202401.0734.v1

Public Debt and Economic Growth: A Panel Kink Regression Latent Group Structures Approach

Chaoyi Chen, Thanasis Stengos, Jianhan Zhang

Subject: Business, Economics And Management, Econometrics And Statistics Keywords: Kink regression model; Latent group structures; Public debt; Debt threshold

Online: 10 January 2024 (03:48:25 CET)

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Preprint ARTICLE | doi:10.20944/preprints202401.0487.v1

A Statistical Model for Identifying Collusive Bidding Based on Historical Quotations

Jieni Li, Fei Xie, Hongchao Guo

Subject: Business, Economics And Management, Econometrics And Statistics Keywords: collusive bidding; historical quotations; coefficient of variation; deviation rate; statistical model

Online: 8 January 2024 (01:19:39 CET)

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Preprint ARTICLE | doi:10.20944/preprints202401.0031.v1

Investigating the Determinants of Beds for High-Care Specialties in the Italian Regions in the Environmental, Social and Governance Model

Emanuela Resta, Onofrio Resta, Alberto Costantiello, Angelo Leogrande

Subject: Business, Economics And Management, Econometrics And Statistics Keywords: Analysis of Health Care Markets; Health Behaviors; Health Insurance; Public and Private; Health and Inequality; Health and Economic Development; Government Policy; Regulation; Public Health

Online: 3 January 2024 (02:02:36 CET)

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Preprint ARTICLE | doi:10.20944/preprints202401.0034.v1

The Hospital Emigration to Another Region in the Light of the Environmental, Social and Governance Model in Italy During the Period 2004-2021

Emanuela Resta, Onofrio Resta, Alberto Costantiello, Angelo Leogrande

Subject: Business, Economics And Management, Econometrics And Statistics Keywords: Analysis of Health Care Markets; Health Behaviors; Health Insurance; Public and Private; Health and Inequality; Health and Economic Development; Government Policy; Regulation; Public Health

Online: 3 January 2024 (02:01:44 CET)

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Preprint ARTICLE | doi:10.20944/preprints202312.1963.v1

How Digital Economy drive the Optimization and Upgrading of Industrial Structure? the Mediating Effect of Innovation and the Role of Economic Resilience

Yicheng Song, Yuantao Jiang

Subject: Business, Economics And Management, Econometrics And Statistics Keywords: digital economy; industrial structure; Optimization and upgrading; economic resilience; innovation

Online: 26 December 2023 (10:05:37 CET)

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Preprint ARTICLE | doi:10.20944/preprints202312.1916.v1

Game Models for Ordering and Channel Decisions of New and Differentiated Remanufactured Products in a Closed-Loop Supply Chain

Niu Gao, Linchi Qu, Yuan-Tao Jiang, Jian Hou

Subject: Business, Economics And Management, Econometrics And Statistics Keywords: Closed-loop supply chain; Channel power structures; Sales effort; Emergency order; Game theory

Online: 26 December 2023 (05:56:24 CET)

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Preprint ARTICLE | doi:10.20944/preprints202312.1231.v1

Natural Gas Matters: LNG and India’s Quest for Clean Energy

Subhadip Ghosh, Rajarshi Majumder, Bidisha Chatterjee

Subject: Business, Economics And Management, Econometrics And Statistics Keywords: non-renewable energy sources; energy demand forecasting; natural gas consumption and production forecasting; LNG import; natural gas industry; India

Online: 18 December 2023 (06:13:54 CET)

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Preprint ARTICLE | doi:10.20944/preprints202312.1090.v1

Using probabilistic machine learning methods to improve beef cattle price modeling and promote beef production efficiency and sustainability in Canada

Elham Rahmani, Mohammad Khatami, Emma Stephens

Subject: Business, Economics And Management, Econometrics And Statistics Keywords: Machine Learning, Probabilistic Modeling, Multivariate and Univariate Modeling, Support Vector Regression, Random Forest, Adaboost, ARIMA, SARIMA, SARIMAX, Canadian Cattle Price Modeling

Online: 14 December 2023 (11:08:54 CET)

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Preprint ARTICLE | doi:10.20944/preprints202311.1404.v1

DAO Dynamics: Treasury and Market Cap Interaction

Ioannis Karakostas, Konstantinos Pantelidis

Subject: Business, Economics And Management, Econometrics And Statistics Keywords: Carbon-offset tokens; DAO; DeFi; EGARCH; Granger Causality; ReFi; DeFi Treasury

Online: 22 November 2023 (07:26:05 CET)

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Preprint ARTICLE | doi:10.20944/preprints202311.0912.v1

Demand Analysis Models to Support Cultural Tourism Strategy: Application of Conjoint Analysis in North Sardinia (Italy)

Cristina Coscia, Francesca Pasquino

Subject: Business, Economics And Management, Econometrics And Statistics Keywords: conjoint analysis; inner territories; willingness to pay; consumer behaviour; Sardinia

Online: 14 November 2023 (11:40:43 CET)

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Preprint ARTICLE | doi:10.20944/preprints202311.0236.v1

How Can Blue Economy Contribute to Inclusive Growth and Ecosystem Resources in Asia? A Comparative analysis of Economic, Environmental, and Social Indicators Among 19 Asian Cooperation Dialogue Members

Muhammad Aamir Mahmood, Qamar Ali

Subject: Business, Economics And Management, Econometrics And Statistics Keywords: Inclusive growth; economic; environmental; and social indicators; asian cooperation dialogue; Driscoll Kraay’s standard errors regression; fishery and aquaculture production; tradeoffs between development and sustainability; renewable energy utilization

Online: 3 November 2023 (14:44:59 CET)

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This study investigates how a range of economic, environmental, and social indicators have influenced the concept of inclusive growth in 19 member countries of the Asian Cooperation Dialogue over the period spanning from 1995 to 2021. To analyze these relationships, the research employs the Driscoll Kraay's Standard Errors regression technique, designed to account for factors such as cross-sectional dependence, hetero-scedasticity, and autocorrelation within the data. Furthermore, various preliminary tests were conducted to assess the data for cross-sectional dependence, slope heterogeneity, heteroscedasticity, and autocorrelation. Additionally, the Westerlund cointegration test was employed to evaluate the potential long-term equilibrium relationships among the variables. The findings reveal that the influence of independent variables on the dependent variable, which in this case is the level of inclusive growth (ING), differs significantly among three distinct income categories: lower-middle-income countries (LMYCs), upper-middle-income countries (UMYCs), and high-income countries (HYCs). Notably, the results underscore the overall statistical significance and robust fit of the regression model for all three income groups. One of the primary contribu-tions of this research is the provision of empirical evidence concerning the role played by fishery and aquaculture production in fostering inclu-sive growth in the Asian context. This research also highlights the trade-offs between economic development and environmental sustainability in terms of trade openness, agriculture, forestry and fishing, ecological footprint, and renewable energy utilization. Enhancing inclusive growth in Asia requires improving fishery and aquaculture management, diversifying economic activities, reducing ecological footprint, and increasing renewable energy utilization. The paper suggests some future work directions for extending the analysis to other regions and indicators, as well as incorporating dynamic panel data models and causality tests. The paper also suggests some policy implications for fostering inclusive growth in Asia through regional cooperation, capacity building, technology transfer and green financing.

Preprint ARTICLE | doi:10.20944/preprints202310.0310.v3

Pivot Clustering to Minimize Error in Forecasting Aggregated ARMA Demand

Vladimir Kovtun, Avi Giloni, Clifford Hurvich, Sridhar Seshadri

Subject: Business, Economics And Management, Econometrics And Statistics Keywords: forecasting aggregate demand; clustering time series; pivot clustering; ARMA model; order-up-to policy

Online: 25 October 2023 (13:20:27 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202310.1630.v1

Stochastic Claims Reserve in the Healthcare System: A New Methodology Applied in Italy

Claudio Mazzi, Angelo Damone, Andrea Vandelli, Gastone Ciuti, Milena Vainieri

Subject: Business, Economics And Management, Econometrics And Statistics Keywords: healthcare; claims reserving; generalized linear models; medical malpractice; error estimation

Online: 25 October 2023 (09:52:44 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202310.0310.v2

Pivot Clustering to Minimize Error in Forecasting Aggregated ARMA Demand

Vladimir Kovtun, Avi Giloni, Clifford Hurvich, Sridhar Seshadri

Subject: Business, Economics And Management, Econometrics And Statistics Keywords: Forecasting Aggregate Demand; Clustering Time Series; Pivot Clustering; ARMA Demand; Order-up-to policy.

Online: 16 October 2023 (16:59:16 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202310.0310.v1

Pivot Clustering to Minimize Error in Forecasting Aggregated ARMA Demand

Vladimir Kovtun, Avi Giloni, Clifford Hurvich, Sridhar Seshadri

Subject: Business, Economics And Management, Econometrics And Statistics Keywords: Forecasting Aggregate Demand; Clustering Time Series; Pivot Clustering; ARMA Demand; Order-up-to policy.

Online: 10 October 2023 (13:23:25 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202310.0230.v1

Energy Efficiency Forecast as an Inverse Stochastic Problem: A Cross-Entropy Econometrics Approach

Second Bwanakare

Subject: Business, Economics And Management, Econometrics And Statistics Keywords: overall energy efficiency score; energetic intensity; non-extensive cross-entropy econometrics; stochastic inverse problems; regional innovation

Online: 4 October 2023 (10:22:50 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202309.2150.v1

Machine Learning to Forecast the Financial Bubbles in Stock Market: Evidence in Vietnam

Kim Long Tran, Hoang Anh Le, Cap Phu Lieu, Duc Trung Nguyen

Subject: Business, Economics And Management, Econometrics And Statistics Keywords: financial bubbles; machine learning algorithms; Vietnamese stock market

Online: 30 September 2023 (05:46:52 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202309.2008.v1

Can Technological Innovation and Financial Agglomeration Promote the Growth of Real Economy? Evidence From China

Tao Wang, Shuhong Wang, Wei Ding, Huiwen Guo

Subject: Business, Economics And Management, Econometrics And Statistics Keywords: technological innovation; financial agglomeration; real economy growth; space spillover effect

Online: 28 September 2023 (11:21:52 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202309.1884.v1

Textile Export Nexus in Bangladesh: An Econometric Exploration

Md. Mahbubur Rahman

Subject: Business, Economics And Management, Econometrics And Statistics Keywords: textile industry; bangladesh; econometric analysis; export trends; global demand; policy recommendations

Online: 27 September 2023 (11:53:58 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202308.1139.v2

The Impact of Agricultural Credit on the Growth of the Agricultural Sector in Angola

Mario A. Caetano Joao, Abreu Monteiro de Castro

Subject: Business, Economics And Management, Econometrics And Statistics Keywords: agricultural sector; agricultural credit; economic growth; Angola; ARDL model; econometric analysis

Online: 26 September 2023 (13:53:32 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202309.1664.v1

Analysis of Price Influencing Factors of Small-Scale Agricultural Products Based on Network Perspective

Lifang Fu, Huaxu Zhang

Subject: Business, Economics And Management, Econometrics And Statistics Keywords: small-scale agricultural products; price affecting factors; text analysis; sentiment analysis; TVP-VAR model

Online: 26 September 2023 (08:16:34 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202309.1400.v1

Global and Local Approaches for Forecasting of Long-Term Natural Gas Consumption in Poland Based on Hierarchical Short Time Series

Bartłomiej Gaweł, Andrzej Paliński

Subject: Business, Economics And Management, Econometrics And Statistics Keywords: hierarchical forecasting; short time series; local approach; global approach; household gas consumption

Online: 21 September 2023 (05:39:44 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202309.0986.v1

How to Determine the Optimal Number of Cardiologists in the Region?

Artur Nagapetyan, Alexander Drozd, Dmitry Subbotovsky

Subject: Business, Economics And Management, Econometrics And Statistics Keywords: health care markets; cardiovascular mortality; health care workforce; applied microeconometrics; spatial econometrics; instrumental variable method; quasi-public goods

Online: 14 September 2023 (10:51:27 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202309.0413.v1

Introduction to Cross-Section Spatial Econometric Models with Applications in R

Coro Chasco, Andrés Vallone

Subject: Business, Economics And Management, Econometrics And Statistics Keywords: Spatial Econometrics; Spatial Weight Matrix; Spatial Autocorrelation; Cross-Section Models; R Software

Online: 7 September 2023 (03:27:25 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202309.0382.v1

GARMA, HAR and Rules of Thumb for Modelling Realised Volatility

David Edmund Allen, Shelton Peiris

Subject: Business, Economics And Management, Econometrics And Statistics Keywords: GARMA; gegenbaur processes; HAR models; realised volatility; rules of thumb

Online: 6 September 2023 (10:26:40 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202308.1240.v1

The Development and Validation of a Lightweight Automated Stock Trading System Using Deep Learning Models: Employing Technical Analysis Methods

SeongJae Yu, Sung-Byung Yang, Sang-Hyeak Yoon

Subject: Business, Economics And Management, Econometrics And Statistics Keywords: Attention Mechanism; Stock Forecasting; Deep Learning; Technical Analysis Method; Lightweight Automated Stock Trading System

Online: 17 August 2023 (09:04:02 CEST)

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Individual investors often struggle to predict stock prices due to the limitations imposed by the computational capacities of personal laptop Graphics Processing Units (GPUs) when running intensive deep learning models. This study proposes solving these GPU constraints by integrating deep learning models with technical analysis methods. This integration significantly reduces analysis time and equips individual investors with the ability to identify stocks that may yield potential gains or losses in an efficient manner. Thus, a comprehensive buy and sell algorithm, compatible with average laptop GPU performance, is introduced in the study. This algorithm offers a lightweight analysis method that emphasizes factors identified by technical analysis methods, thereby providing a more accessible and efficient approach for individual investors. To evaluate the efficacy of this approach, we analyzed the performance of eight deep learning models: LSTM (4 layers), CNN, BiLSTM (4 layers), CNN Attention, BiGRU CNN BiLSTM Attention, BiLSTM Attention CNN, CNN BiLSTM Attention, and CNN Attention BiLSTM. These models were used to predict stock prices for Samsung Electronics and Celltrion Healthcare. The CNN Attention BiLSTM model displayed superior performance among these models, with the lowest validation mean absolute error value. In addition, an experiment was conducted using WandB Sweep to determine the optimal hyperparameters for four individual hybrid models. These optimal parameters were then implemented in each model to validate their back-testing rate of return. The CNN Attention BiLSTM hybrid model emerged as the highest-performing model, achieving an approximate rate of return of 5 percent. Overall, this study offers valuable insights into the performance of various deep learning and hybrid models in predicting stock prices. These findings can assist individual investors in selecting appropriate models that align with their investment strategies, thereby increasing their likelihood of success in the stock market.

Preprint ARTICLE | doi:10.20944/preprints202308.1228.v1

Regional Differences in Willingness to Pay for Mitigation of Air Pollution from Coal-Fired Power Plants in South Korea

Dmitriy Li, Meenakshi Rishi, Jeong Hwan Bae

Subject: Business, Economics And Management, Econometrics And Statistics Keywords: PM2.5 emission; regional difference; Contingent valuation method; Willingness To Pay; Coal-fired power plants

Online: 17 August 2023 (04:04:54 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202308.1139.v1

The Impact of Agricultural Credit on the Growth of the Agricultural Sector in Angola

Mario A. Caetano Joao, Abreu Monteiro de Castro

Subject: Business, Economics And Management, Econometrics And Statistics Keywords: agricultural sector; agri-credit; economic growth; Angola; econometric analysis

Online: 15 August 2023 (15:48:41 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202308.0785.v1

Innovation and Drivers of Productivity: A Global Analysis of Selected Critical Minerals

Shabbir Ahmad

Subject: Business, Economics And Management, Econometrics And Statistics Keywords: mining innovation; technology; efficiency & productivity; scale & scope economies; DEA

Online: 9 August 2023 (14:37:48 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202307.2014.v1

Should Selection of the Optimum Stochastic Mortality Model Be Based on the Original or the Logarithmic Scale of the Mortality Rate?

Miguel Santolino

Subject: Business, Economics And Management, Econometrics And Statistics Keywords: Longevity risk; stochastic mortality models; Lee-Carter; model selection

Online: 28 July 2023 (12:31:25 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202307.0187.v1

VaR Estimation Using Extreme Value Mixture Models for Cryptocurrencies

Stephanie Danielle Subramoney, Knowledge Chinhamu, Retius Chifurira

Subject: Business, Economics And Management, Econometrics And Statistics Keywords: Bitcoin; cryptocurreny; extreme value models (EVM); GPD-Normal-GPD (GNG); generalised Pareto distribution (GPD); Kernel density estimator (KDE); Normal distribution; Value-at-Risk (VaR)

Online: 4 July 2023 (11:29:36 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202306.2083.v1

Circulation Expectations, Trust, and Farmers' Contract Choice Behavior

Hong ming Yong, Long Jiao, Zhuo wen Jun

Subject: Business, Economics And Management, Econometrics And Statistics Keywords: Contractual choices; Land transfer; Expectations; Trust; Probit model; Market-oriented land reform

Online: 29 June 2023 (09:54:32 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202306.1077.v1

Evaluating and Improving the Metropolitan Economic Freedom Index

Arvind Sharma, Aleksander Tomic, Lawrence Fulton

Subject: Business, Economics And Management, Econometrics And Statistics Keywords: economic freedom; factor analysis; MEFI; labor market; government spending; taxation

Online: 15 June 2023 (07:26:59 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202306.0635.v1

Exploring the Connection Between Clean and Dirty Energy: Implications for the Transition to a Carbon Resilient Economy

Rui Dias, Nuno Teixeira, Paulo M. Alexandre, Mariana Chambino

Subject: Business, Economics And Management, Econometrics And Statistics Keywords: clean energy; dirty energy; dependency; hedge; safe haven

Online: 8 June 2023 (10:50:42 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202306.0627.v1

An Evolutionary Analysis of Higher-Order Interaction Collaborative Innovation Networks in China's New Energy Vehicle Industry

Yuan Yuan, Jinli Guo, Zhaohua Guo

Subject: Business, Economics And Management, Econometrics And Statistics Keywords: New energy vehicle; Higher-order interaction network; Generalized degree; Simplicial complex

Online: 8 June 2023 (10:35:23 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.1743.v1

Pastoral Differentiations on WTA Valuation for Grassland Eco-Subsidy – Empirical Study of 410 Herder Households in Grass-Livestock Balance Sub-Policy Zones in Inner Mongolia, China

Jiayu Dong, Zimeng Ren, Xinling Zhang, Xiaoling Liu

Subject: Business, Economics And Management, Econometrics And Statistics Keywords: Willingness to accept compensation (WTA); expectation of compensation; horizontal/vertical differentiations of pastoral households

Online: 25 May 2023 (05:42:27 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.1627.v1

Applying Logarithmic Transformation, Sine Wave and Amplitude: An Emerging Global Pattern of Economic Growth and Human Development

Demetria May Saniel

Subject: Business, Economics And Management, Econometrics And Statistics Keywords: Human Development Index; Education Index; Health Index; Standard of Living Index; Gross Domestic Product; Complex Adaptive Systems; Logarithmic Transformation; Sine Wave; Amplitude

Online: 23 May 2023 (08:40:39 CEST)

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Preprint HYPOTHESIS | doi:10.20944/preprints202305.1281.v1

A Quantitative Study on the Effectiveness of the Governance Attributes on ‘Industry-Wise Earnings Quality’ in the UK

Rishiram Aryal, Washad Emambocus, Gurjit Dhesi, Ebikinei Stanley Eguruze

Subject: Business, Economics And Management, Econometrics And Statistics Keywords: Corporate Governance; Earnings Management; Industry-wise

Online: 18 May 2023 (05:50:50 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202304.0369.v1

Study on Pricing of High Dimensional Financial Derivatives Based on Deep Learning

Xiangdong Liu, Yu Gu

Subject: Business, Economics And Management, Econometrics And Statistics Keywords: Deep learning; Backward stochastic differential equation; Nonlinear Feynman-Kac formula; High dimensional PDE; Derivatives pricing; Neural network

Online: 14 April 2023 (10:44:44 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202303.0115.v1

Endogenous Innovation and Export Performance in Firms

Oliviero Antonio Carboni, Giuseppe Medda

Subject: Business, Economics And Management, Econometrics And Statistics Keywords: European firms; R&; D; innovation; export; IV and fractional response model

Online: 7 March 2023 (01:32:45 CET)

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Preprint ARTICLE | doi:10.20944/preprints202301.0248.v1

Making Impact on Common Financial Factors Affecting Liquidity Ratio Based on Greedy Approach through Price Movement in Stock Market

Prakash P, Krishnaprabha S, Sundararajan S

Subject: Business, Economics And Management, Econometrics And Statistics Keywords: Liquidity Risks; Financial Liquidity Factors; Liquidity Crisis; Stock Market; Market Transparency; Greedy Approach

Online: 13 January 2023 (09:30:56 CET)

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Preprint ARTICLE | doi:10.20944/preprints202301.0060.v1

The Environmental Kuznets Curve hypothesis for Colombia: impact of economic development on greenhouse gas emissions and ecological footprint

Jorge A Acevedo, Carlos Felipe Valencia, Carlos Darío Valencia

Subject: Business, Economics And Management, Econometrics And Statistics Keywords: carbon dioxide emissions; Ecological footprint; Economic growth; EKC hypothesis; Environmental degradation; ARDL; Methane emissions

Online: 4 January 2023 (03:44:17 CET)

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Preprint ARTICLE | doi:10.20944/preprints202211.0216.v1

A Study on the Bilateral Trade Relations between China and ASEAN Ten Countries Based on Lotka-Volterra Model

Wen-Xi Ruan, Xin Yu, Sheng-Yuan Wang, Tian-Cheng Zhao, Ya-Zhen Liu

Subject: Business, Economics And Management, Econometrics And Statistics Keywords: Ten ASEAN countries; Bilateral trade; Lotka-Volterra model; commensalism; competition

Online: 11 November 2022 (04:05:04 CET)

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Preprint ARTICLE | doi:10.20944/preprints202210.0201.v1

Evaluating Portuguese Public Hospitals Performance: Any Difference Before and During COVID-19?

Alexandre Morais Nunes, Diogo Filipe da Cunha Ferreira

Subject: Business, Economics And Management, Econometrics And Statistics Keywords: Public hospitals; Performance; Efficiency; Quality; COVID19; Network-based Data Envelopment Analysis

Online: 14 October 2022 (03:37:41 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202209.0446.v1

Associations and Statistical Inferences to the Productive Environment of the Oil Market: Analysis of the World’s Largest Producers from 1993 to 2020

Rafael Henrique Mainardes Ferreira, Priscila Rubbo, Claudia Tania Picinin

Subject: Business, Economics And Management, Econometrics And Statistics Keywords: petroleum; oil market; oil; statistics

Online: 28 September 2022 (15:35:31 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202209.0130.v1

Sociodemographic and Economic Profile of Bicycle-Taxi Riders and Revenue Modelling in Quelimane, Mozambique

Arlete Freitas Jone, Solomon Runhungwe, Joao Luis Ferrao

Subject: Business, Economics And Management, Econometrics And Statistics Keywords: bicycle taxi; profile; sociodemographic

Online: 9 September 2022 (07:03:52 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202208.0456.v1

The Impact of Rural Land Right on Farmers' Income in Underdeveloped Areas: Evidence from Micro-survey Data in Yunnan Province, China

Deng Xiang, Zhang Min, Wan Chunlin

Subject: Business, Economics And Management, Econometrics And Statistics Keywords: Rural land right; farmers’ income; farm income; non-farm income; land transfer

Online: 26 August 2022 (09:44:58 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202208.0397.v1

Saving Food from Waste or Advance Selling? An Empirical Analysis of Too Good To Go Offering in Rome

Mengting Yu, Luigi Palumbo, Luca Secondi

Subject: Business, Economics And Management, Econometrics And Statistics Keywords: food waste; web scraping; Too Good To Go; empirical analysis

Online: 23 August 2022 (08:53:11 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202207.0274.v2

The Temporal and Spatial Evolution of Digital Inclusive Finance and Its Boosting Effect on Rural Revitalization in China

Jin Qiu, Wenxing Chen, Renjie Tao, Chengwei Wang

Subject: Business, Economics And Management, Econometrics And Statistics Keywords: digital inclusive finance; rural revitalization; spatio-temporal evolution; Gini coefficient; GWR model

Online: 19 July 2022 (04:12:41 CEST)

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Using the 2011-2020 digital inclusive finance data released by Peking University and the index system constructed by the Blue Book of China Rural Revitalization and Development Index (2018), this paper analyzes the dynamic evolution of the digital inclusive finance and the rural revitaliza-tion from time and space dimensions with the help of kernel density estimation, Markov chain and Moran index. Using The Gini coefficient decomposition method to analyze the source of differ-ences in digital inclusive finance, and then using the spatial autoregressive (SAR) model and ge-ographically weighted regression (GWR) model to study the boosting effect of digital inclusive finance on rural revitalization from the perspective of spatial aggregation and spatial differentia-tion, respectively. The results show that: (1) The growth rate of China's digital inclusive finance slows down year by year, and the inter-provincial differences increase year by year and show gradient characteristics, indicating that there may be a trend of multipolar differentiation. The overall level of Rural Revitalization shows an increasing trend, and the gap between provinces is still apparent. (2) The evolution of digital inclusive finance and rural revitalization is a slow ad-justment process, and there has been no cross-level jump in the past ten years. In digital inclusive finance, the liquidity from the highest and lowest levels to the medium level is high. However, the liquidity in the states of rural revitalization development level is not high. (3) Rural revitalization has a positive spatial spillover effect. The level of rural revitalization in the western area is signif-icantly lower than in the eastern area. At the same time, there is no significant difference between the east and central areas. The depth of the use of digital inclusive finance has a significant positive impact on the revitalization and development of rural areas, indicating that the further promotion of digital inclusive finance business in rural areas can substantially boost the revitalization of rural areas. (4) The boosting effect of digital inclusive finance on rural revitalization shows prominent spatial differentiation characteristics. The depth of use and the degree of digitization generally show a positive impact. The central and eastern coastal cities have the highest impact, decreasing toward the southwest and northeast. The areas with the lowest usage depth impact are clustered in the northeast, and the areas with the lowest digitization impact are clustered in the southwest.

Preprint ESSAY | doi:10.20944/preprints202207.0274.v1

The Temporal and Spatial Evolution of Digital Inclusive Finance and Its Boosting Effect on Rural Revitalization in China

Jin Qiu, Wenxing Chen, Renjie Tao, Chengwei Wang

Subject: Business, Economics And Management, Econometrics And Statistics Keywords: digital inclusive finance; rural revitalization; spatio-temporal evolution; Gini coefficient; GWR model

Online: 19 July 2022 (02:52:04 CEST)

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Using the 2011-2020 digital inclusive finance data released by Peking University and the index system constructed by the Blue Book of China Rural Revitalization and Development Index (2018), this paper analyzes the dynamic evolution of the digital inclusive finance and the rural revitaliza-tion from time and space dimensions with the help of kernel density estimation, Markov chain and Moran index. Using The Gini coefficient decomposition method to analyze the source of differ-ences in digital inclusive finance, and then using the spatial autoregressive (SAR) model and ge-ographically weighted regression (GWR) model to study the boosting effect of digital inclusive finance on rural revitalization from the perspective of spatial aggregation and spatial differentia-tion, respectively. The results show that: (1) The growth rate of China's digital inclusive finance slows down year by year, and the inter-provincial differences increase year by year and show gradient characteristics, indicating that there may be a trend of multipolar differentiation. The overall level of Rural Revitalization shows an increasing trend, and the gap between provinces is still apparent. (2) The evolution of digital inclusive finance and rural revitalization is a slow ad-justment process, and there has been no cross-level jump in the past ten years. In digital inclusive finance, the liquidity from the highest and lowest levels to the medium level is high. However, the liquidity in the states of rural revitalization development level is not high. (3) Rural revitalization has a positive spatial spillover effect. The level of rural revitalization in the western area is signif-icantly lower than in the eastern area. At the same time, there is no significant difference between the east and central areas. The depth of the use of digital inclusive finance has a significant positive impact on the revitalization and development of rural areas, indicating that the further promotion of digital inclusive finance business in rural areas can substantially boost the revitalization of rural areas. (4) The boosting effect of digital inclusive finance on rural revitalization shows prominent spatial differentiation characteristics. The depth of use and the degree of digitization generally show a positive impact. The central and eastern coastal cities have the highest impact, decreasing toward the southwest and northeast. The areas with the lowest usage depth impact are clustered in the northeast, and the areas with the lowest digitization impact are clustered in the southwest.

Preprint ARTICLE | doi:10.20944/preprints202203.0281.v1

Impact of COVID-19 on Local Markets: An Application of Garch and Markov-Switching Dynamic Regression

Olawale Abimbola, Chukwudi Ogbekile, Ehizokhale Oseghale

Subject: Business, Economics And Management, Econometrics And Statistics Keywords: COVID-19; GARCH; ARCH; MSDR; Volatility

Online: 21 March 2022 (09:14:26 CET)

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Preprint ARTICLE | doi:10.20944/preprints202201.0317.v1

Prevalence and Economic Costs of Absenteeism in an Aging Population – A Quasi-Stochastic Projection for Germany

Patrizio Vanella, Christina Benita Wilke, Doris Söhnlein

Subject: Business, Economics And Management, Econometrics And Statistics Keywords: Cohort-Component Method; Multivariate Methods; Time Series Analysis; Monte Carlo Methods; Stochastic Forecasting; Demography; Statistical Epidemiology; Labor Market Research; Health Economics

Online: 21 January 2022 (10:32:54 CET)

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Preprint ARTICLE | doi:10.20944/preprints202201.0311.v1

The Replicability Crisis and the p-Value Debate – what Are the Consequences for the Agricultural and Food Economics Community?

Thomas Heckelei, Silke Hüttel, Martin Odening, Jens Rommel

Subject: Business, Economics And Management, Econometrics And Statistics Keywords: Statistical inference; p-hacking; pre-registration; publication bias; replication crisis

Online: 20 January 2022 (15:32:13 CET)

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Preprint ARTICLE | doi:10.20944/preprints202201.0126.v1

Tiebout Sorting, Zoning, and Property Tax Rates

Steven C. Bourassa, Wen-Chieh Wu

Subject: Business, Economics And Management, Econometrics And Statistics Keywords: Tiebout model; fiscal zoning; single-family zoning; property taxation; Miami

Online: 10 January 2022 (15:21:18 CET)

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Preprint ARTICLE | doi:10.20944/preprints202112.0022.v2

Equal Opportunities to Access the University in Chile? An Application with a Spatial Heckman Probit Model

Juan Luis Quiroz, Ludo Peeters, Coro Chasco, Patricio Aroca

Subject: Business, Economics And Management, Econometrics And Statistics Keywords: Heckit models; spatial effects; local spatial autocorrelation; SLX model; education accessibility; Chile

Online: 20 December 2021 (10:47:44 CET)

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Preprint ARTICLE | doi:10.20944/preprints202112.0022.v1

Equal Opportunities to Access the University in Chile? An Application with a Spatial Heckman Probit Model

Juan Luis Quiroz, Ludo Peeters, Coro Chasco, Patricio Aroca

Subject: Business, Economics And Management, Econometrics And Statistics Keywords: Heckit models; spatial effects; local spatial autocorrelation; SLX model; education accessibility; Chile

Online: 2 December 2021 (08:08:42 CET)

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Preprint ARTICLE | doi:10.20944/preprints202111.0462.v1

Dynamic Programming for Computing Power Indices for Weighted Voting Games with Precoalitions

Jochen Staudacher, Felix Wagner, Jan Filipp

Subject: Business, Economics And Management, Econometrics And Statistics Keywords: cooperative game theory; power indices; weighted voting games; dynamic programming; precoalitions; Shapley value; Owen value; Banzhaf index.

Online: 25 November 2021 (08:15:34 CET)

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Preprint ARTICLE | doi:10.20944/preprints202111.0382.v1

Food-Away-from-Home Expenditure in Mexico during the COVID-19 Pandemic: A Micro-Econometric Analysis

Antonio Aguilar-Lopez, Aleš Kuhar

Subject: Business, Economics And Management, Econometrics And Statistics Keywords: elasticity; Engel curve; food-away-from-home expenditure, COVID, Mexico

Online: 22 November 2021 (11:11:14 CET)

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Business, Economics and Management