Regression Analysis Of Data Research Articles

Exploring the Relationship Between Very-High-Resolution Satellite Imagery Data and Fruit Count for Predicting Mango Yield at Multiple Scales

Tree- and block-level prediction of mango yield is important for farm operations, but current manual methods are inefficient. Previous research has identified the accuracies of mango yield forecasting using very-high-resolution (VHR) satellite imagery and an ’18-tree’ stratified sampling method. However, this approach still requires infield sampling to calibrate canopy reflectance and the derived block-level algorithms are unable to translate to other orchards due to the influences of abiotic and biotic conditions. To better appreciate these influences, individual tree yields and corresponding canopy reflectance properties were collected from 2015 to 2021 for 1958 individual mango trees from 55 orchard blocks across 14 farms located in three mango growing regions of Australia. A linear regression analysis of the block-level data revealed the non-existence of a universal relationship between the 24 vegetation indices (VIs) derived from VHR satellite data and fruit count per tree, an outcome likely due to the influence of location, season, management and cultivar. The tree-level fruit count predicted using a random forest (RF) model trained on all calibration data produced a percentage root mean squared error (PRMSE) of 26.5% and a mean absolute error (MAE) of 48 fruits/tree. The lowest PRMSEs produced from RF-based models developed from location, season and cultivar subsets at the individual tree level ranged from 19.3% to 32.6%. At the block level, the PRMSE for the combined model was 10.1% and the lowest values for the location, seasonal and cultivar subset models varied between 7.2% and 10.0% upon validation. Generally, the block-level predictions outperformed the individual tree-level models. Maps were produced to provide mango growers with a visual representation of yield variability across orchards. This enables better identification and management of the influence of abiotic and biotic constraints on production. Future research could investigate the causes of spatial yield variability in mango orchards.

Impact of Urban Form in the Yangtze River Delta of China on the Spatiotemporal Evolution of Carbon Emissions from Transportation

The impact of urban form on carbon emissions has become a crucial issue for sustainable socioeconomic development and the advancement of low-carbon cities. Transportation is a significant source of urban carbon emissions, highlighting the need for comprehensive research to aid China in achieving its carbon peak and neutrality goals. Currently, there is a lack of quantitative studies exploring the effects of urban form on transportation-related carbon emissions. This paper seeks to quantify the effect of urban form on the spatial and temporal patterns of transportation carbon emissions, utilizing panel data from 27 cities in the Yangtze River Delta (YRD) region of China, covering the years 2000 to 2020. First, CO2 emissions from transportation are estimated following IPCC guidelines, with Moran’s I utilized to analyze spatial autocorrelation. Next, urban form indicators are quantified based on landscape ecology theory. Finally, econometric models are employed for regression analysis of the panel data. The findings reveal that urban complexity, compactness, and expansion influence transportation carbon emissions to varying degrees, with urban expansion and complexity associated with increased emissions, while compactness contributes to their reduction. This study offers theoretical support and a scientific basis for low-carbon urban spatial planning and development, underscoring the importance of urban form in emissions reduction strategies.

THE INFLUENCE OF GREEN BANKING IMPLEMENTATION, ISLAMIC SOCIAL REPORTING AND COVID-19 CRISIS ON PROFITABILITY WITH BANK SIZE AS A MODERATING VARIABLE IN ISLAMIC GENERAL BANK PERIOD 2016-2023

This study uses bank size as a moderating variable to examine the effects of the Covid-19 crisis, Islamic social reporting, and the deployment of green banking on profitability in Indonesian Islamic commercial banks. In this work, panel data regression and moderated regression analysis are used as data analysis methods. Eleven Indonesian Islamic commercial banks that were registered with the OJK between 2016 and 2023 used as the study's sample. The study's findings show that Islamic commercial banks' profitability is significantly and favorably impacted by ISR. Profitability (ROE) is significantly impacted negatively by the Covid-19 situation, but not ROA. In the meantime, Islamic commercial banks' profitability is unaffected by green banking. The association between green banking and profitability may be moderated by the moderating variable of bank size. This research highlights how crucial risk management, responsibility, and openness are in a period of unpredictable economic times. In the context of Islamic banking, the impact of ISR procedures and reactions to financial crises like COVID-19 is quite significant. Islamic banks should see an improvement in their financial performance in the future by strengthening their ISR management and comprehending the implications of green banking.

Analisis Pengaruh Penerapan Strategi Bauran Pemasaran terhadap Keputusan Pembelian pada UMKM Serba Nanas Alam Sari Subang Jawa Barat

UMKM One of the producers in Subang offering processed pineapples is Serba Nanas Alam Sari. Processed pineapple sales are erratic. Businesses must create a strong marketing mix strategy in order to overcome consumer preferences and market rivalry. The purpose of this study is to examine how purchase decisions at Serba Nanas Alam Sari UMKM in Subang, West Java, are affected by the application of a marketing mix approach. In order to collect data for this study, 100 UMKM customers were given questionnaires. Mixed methods were used in this research. The techniques employed for gathering data included surveys, interviews, documentation, and observation. A Likert scale is used for variable measurement, and MSI is used to alter it. Multiple linear regression data analysis was used to ascertain the impact of place, promotion, price, and product variables on consumer purchase decisions. The study's findings indicate that the significant value is less than 0.05, indicating that purchase decisions are influenced by product, price, place, and promotion all at the same time. With a result of 1,042, the product variable has the biggest impact. This is due to the product's variety, good taste, and guaranteed product quality. The variables that affect promotion, pricing, and location are next in line. Based on the study's findings, Serba Nanas Alam Sari UMKM can benefit from an efficient marketing plan that combines quality products, competitive pricing, effective distribution, and eye-catching promotions to influence more customers' purchases.

Unlocking sustainability: exploring the nexus of green banking, digital transformation, and financial performance with foreign ownership moderation

The purpose of this research is to empirically test and analyze the impact of green banking, digital transformation, and asset quality on the financial performance of commercial banks with foreign ownership as a moderator. Additionally, it aims to test and analyze the financial performance of sustainable business practices for commercial banks. This study was conducted on commercial banks, specifically focusing on bank groups categorized by core capital levels 3 and 4, listed on the Indonesia Stock Exchange, covering the period from 2017 to 2022. This research employed a judgment sampling technique, encompassing a total of 47 conventional commercial banks. Panel data regression analysis, a data analysis technique, used three variables: the dependent variable, the independent variable, and the moderation variable. The research unveiled that green banking does not appear to have a significant positive impact on financial performance, whereas digital transformation shows a clear positive effect. Non-performing loans, a measure of asset quality, also affect financial performance. Additionally, foreign ownership strengthens the impact of green banking on the financial performance of commercial banks in Indonesia. However, foreign ownership does not enhance the effect of digital transformation. Finally, foreign ownership plays a moderating role in the relationship between asset quality and financial performance in these banks. Ultimately, financial performance has a significant positive influence on sustainable business, suggesting that stronger financial performance contributes to the long-term sustainability of a bank’s operations. The implications of these findings are, first and foremost, that financial institutions should prioritize incorporating sustainable and environmentally friendly practices into their operations to improve their overall financial performance and emphasize the critical role of digital transformation in enhancing financial performance. Consequently, financial institutions are required to allocate resources towards information technology infrastructure and cultivate digital capabilities to adapt to evolving customer demands, such as offering 24/7 banking services from any location. Secondly, financial institutions should not stay far away from digital disruption, but rather embrace it and adapt their strategies accordingly, which includes allocating an adequate budget for IT infrastructure investment and accessing digital services that meet the banking industry’s demands, resulting in effective communication of sustainable practices.

PENGARUH CORPORATE SOCIAL RESPONSIBILITY (CSR), FINANCIAL DISTRESS, CORPORATE’S GROWTH, DAN FIRM SIZE TERHADAP EARNINGS RESPONSE COEFFICIENT (ERC)

The purpose of this study is to determine the influence of corporate social responsibility (CSR), financial distress, corporate's growth and firm size on earnings response coefficient (ERC). The data analysis method used in this study is a quantitative method and uses panel data regression analysis techniques. The population in this study is manufacturing companies listed on the Indonesia Stock Exchange in 2015-2022. The results show that financial distress has an effect on earnings response coefficient (ERC), corporate social responsibility (CSR), corporate's growth, and firm size has no effect on earnings response coefficient (ERC).

Panel Data: Study Of Income Inequality In West Sumatra

This research aims to analyze the factors that influence income inequality in West Sumatra Province. Some of the variables that are taken into consideration are: unemployment, education and poverty. The research uses secondary data from the Central Statistics Agency (BPS), using panel data regression analysis in 19 Regencies/Cities in West Sumatra Province, during 2017-2023. The selected research model uses the Fixed Effect Model (FEM). The research results show that: (1) the unemployment variable has a positive and insignificant effect on income inequality, (2) the education variable has a negative and significant effect on income inequality, (3) the poverty variable has a positive and significant effect on income inequality.

Cox regression model with doubly truncated and interval-censored data

Interval sampling is an efficient sampling scheme used in epidemiological studies. Doubly truncated (DT) data arise under this sampling scheme when the failure time can be observed exactly. In practice, the failure time may not be observed and might be recorded only within time intervals, leading to doubly truncated and interval censored (DTIC) data. This article considers regression analysis of DTIC data under the Cox proportional hazards (PH) model and develops the conditional maximum likelihood estimators (cMLEs) for the regression parameters and baseline cumulative hazard function of models. The cMLEs are shown to be consistent and asymptotically normal. Simulation results indicate that the cMLEs perform well for samples of moderate size.

Advancing Interpretable Regression Analysis for Binary Data: A Novel Distributed Algorithm Approach.

Sparse data bias, where there is a lack of sufficient cases, is a common problem in data analysis, particularly when studying rare binary outcomes. Although a two-step meta-analysis approach may be used to lessen the bias by combining the summary statistics to increase the number of cases from multiple studies, this method does not completely eliminate bias in effect estimation. In this paper, we propose a one-shot distributed algorithm for estimating relative risk using a modified Poisson regression for binary data, named ODAP-B. We evaluate the performance of our method through both simulation studies and real-world case analyses of postacute sequelae of SARS-CoV-2 infection in children using data from 184 501 children across eight national academic medical centers. Compared with the meta-analysis method, our method provides closer estimates of the relative risk for all outcomes considered including syndromic and systemic outcomes. Our method is communication-efficient and privacy-preserving, requiring only aggregated data to obtain relatively unbiased effect estimates compared with two-step meta-analysis methods. Overall, ODAP-B is an effective distributed learning algorithm for Poisson regression to study rare binary outcomes. The method provides inference on adjusted relative risk with a robust variance estimator.

Determinan Pertumbuhan Ekonomi Negara Asean-10: Model Data Panel

This study aims to analyze the effect of investment, exchange rate, labor, and human development index (HDI) variables on economic growth in ASEAN countries. This study uses panel data regression analysis with time series data from 2011-2022 and cross-section data from 10 ASEAN countries. The results showed that the Fixed Effect Model was selected as the best model in the study. The results of the analysis concluded that investment and labor have a positive and significant effect on economic growth and HDI has a negative and significant effect on economic growth. Meanwhile, the exchange rate does not have a significant effect on economic growth. In other words, increasing investment and labor will increase economic growth, conversely if the HDI increases it will not increase economic growth. In addition, the exchange rate has no effect on economic growth in 10 ASEAN countries.

Pengaruh Solvabilitas, Profitabilitas, Kepemilikan Institusional, Dewan Komisaris Independen, dan Kepemilikan Publik terhadap Pengungkapan Manajemen Risiko: Studi pada Perusahaan Sub-sektor Perbankan yang Terdaftar di Bursa Efek Indonesia Tahun 2018-2022

The object of this research is a banking sub-sector company listed on the Indonesia Stock Exchange for the period 2018-2022. This study aims to determine the effect of leevrage, profitability, institutional ownership, independent board of commissioners, and public ownership as independent variables and risk management disclosure as the dependent variable. This study used 35 companies, so there were a total of 175 samples used. The study used purposive sampling as a sample selection method used for the selection of certain criteria. This study applied descriptive statistical analysis method and panel data regression analysis. The results of this study show that all variables simultaneously influence risk management disclosure. Meanwhile, leverage, profitability, and independent board of commissioners each have no effect. Meanwhile, institutional ownership and public ownership positively affect risk management disclosure.

A robust approach for regression analysis of panel count data with time-varying covariates

A robust approach for regression analysis of panel count data with time-varying covariates

The roles of task-specific self-efficacy and enjoyment in EFL learners’ development of speaking CALF: A longitudinal study

This longitudinal study adopts a person-centred approach to examine EFL learners’ development of speaking CALF; the fluctuating correlations of affective ID variables (self-efficacy and enjoyment), as well as their impacts on oral task performance over time. Thirty-one Chinese EFL learners completed eight oral tasks bi-weekly over six months, followed by post-task scales to measure task-specific self-efficacy and enjoyment. Data were subjected to group-based multi-trajectory modelling (GBMM) to discern the development of speaking CALF, moving correlation analysis to explore the interactions between task-specific self-efficacy and enjoyment, and panel data regression to examine the longitudinal impact of task-specific self-efficacy and enjoyment on oral task performance. GBMM results revealed variability at both the group and individual levels, despite similar educational backgrounds and learning contexts, as evidenced by differing speaking CALF patterns. Moving correlation analyses revealed dynamic, non-linear trends between self-efficacy and enjoyment. Panel data regression analyses suggested that higher levels of affective ID variables would generate better oral performance, as evidenced by speaking CALF patterns. This study successfully integrated ID variables into TBLT research within a CDST framework for enhancing our understanding of the complex nature of EFL learners’ speaking competence and underscoring the interconnectivity between task-specific self-efficacy and enjoyment.

The influence of tax burden, intangible assets, and foreign ownership on transfer pricing policies

This research aims to determine and empirically test the influence of tax burden, intangible assets and foreign ownership on transfer pricing policies in energy sector companies listed on the Indonesia Stock Exchange (BEI) during the 2018 2022 period. This type of research is descriptive quantitative which uses secondary data sourced from the company's financial reports that have been published by the company on the Indonesia Stock Exchange (BEI). This research consisted of 84 companies and the number of samples used was 9 companies as research objects for five years. The data analysis technique for testing this hypothesis uses E-views 12 software. Panel data regression analysis is used as the mechanism in this research. The research results show that the tax burden has a significant effect on transfer pricing. Meanwhile, intangible assets and foreign ownership do not have a significant effect on transfer pricing. This is because companies can consider tax burdens, intangible assets and foreign ownership in transfer pricing policies

Factors Influencing Sustained Use of Shared E-Scooter Services in Urban Taiwan

This study investigates the factors that drive users to sustain their usage of shared electric scooter (e-scooter) services in Taiwan, distinguishing itself from the conventional focus on predicting consumers’ initial adoption and behavioural intentions. It employs subjective rating questions, incorporating constructs related to user acceptance, attitudes and user experience (UX). Through hierarchical regression analysis of quantitative survey data, the study identifies key factors such as users’ modes of transportation, environmental attitudes, acceptance of shared services, attitudes towards private scooters, UX, total usage instances and age. However, reliance on private scooters as a mode of transportation and frequent usage of shared e-scooters negatively impact the sustained usage of these services. The research further highlights early development challenges in shared vehicle services, including concerns over personal data security, user-unfriendly system designs, lack of convenience, inadequate parking infrastructure and ineffective financial incentives. Based on these findings, the study provides recommendations for service providers and government entities to enhance service design and proactively address these challenges. Implementing these recommendations is expected to mitigate the impact of these challenges and potentially improve user acceptance, UX, and the overall sustainability of shared vehicle services.

The Influence of Monetary Incentive Packages on Enhancing Employees’ Innovative Behaviour at Tanzania Port Authority

The study was designed to investigate the influence of monetary incentives package in enhancing employees’ innovative behaviour at Tanzania Port Authority. Abraham Maslow's Hierarchy of Needs theory guided this research. The research deployed cross sectional research design while stratified sampling technique and purposive sampling techniques were used to select members of sample size who were I71 respondents from the target population of 300 staff. Data were collected through questionnaire and analysis was done using descriptive and regression analysis for quantitative data. The study revealed that various incentives packages are offered by TPA, and these are salary, merit pay, recognition and bonuses. Also, employees are paid fairly for the work they do, which motivates employees to contribute new ideas The study further indicated that employees are motivated to come up with new ideas or innovations in their work while employees feel that their contributions and achievements at work are recognized. The study concludes that incentive packages offered at TPA enhance employees’ innovative behaviour at Tanzania Port Authority. The study recommends that the policy makers should ensure that monetary incentives provide a tangible reward for employees’ efforts, which can lead to increased engagement and commitment to innovation. Also, the policy makers should ensure that organisation establishes mechanisms for recognizing and rewarding innovative efforts through non-monetary means such as public acknowledgment, career advancement opportunities, or increased decision-making autonomy.

Green banking disclosure and firm value: a research study at the commercial bank of Vietnam

ABSTRACT This study investigates the impact of green banking disclosure on the firm value of Vietnamese-listed commercial banks and examines the moderating role of non-performing loans (NPLs) from 2010 to 2023. Using panel data regression and content analysis, we employ the Circular 96/2020/TT-BTC disclosure index to measure green banking disclosure and Tobin’s Q to assess firm value. Our findings reveal that green banking disclosure generally reduces firm value. However, when accounting for NPLs, this negative relationship reverses, indicating a moderating effect. This research uniquely incorporates banks’ intrinsic value alongside Tobin’s Q to test the robustness of our results.

Kinerja Keuangan Terhadap Return Saham

This research aims to see the effect of financial performance on stock returns. Stock returns in this study are the dependent variable while financial performance is represented by liquidity and leverage proxies.This type of research is quantitative. The research sample is companies that issue sukuk listed on the Indonesia Stock Exchange in 2017-2021, consisting of 7 companies with five years of observation and the sample determination method used is purposive sampling. The analytical method in this research uses panel data regression analysis with a fixed effects model using Eviews version 10.0. The research results show that the variables liquidity and leverage simultaneously influence stock returns. Meanwhile, partially the Liquidity variable has an effect on Stock Returns. The leverage variable influences stock returns.

Determinants of Indonesia's Plantation Commodities Trade Flows with ASEAN: Insights from a Gravity Model Approach

The trade relationship between Indonesia and ASEAN countries in plantation products exhibits fluctuations in export and import activities. This study aims to identify the factors influencing Indonesia’s Plantation Commodities Trade Flows with ASEAN countries. The research utilizes secondary data from eight ASEAN countries-Indonesia, Cambodia, Malaysia, Singapore, Thailand, Vietnam, Myanmar, and the Philippines-over a 15-year period (2008–2022). A panel data regression analysis, based on the Gravity Model, was conducted to achieve the research objectives. The variables examined include Indonesia’s Plantation Commodities Trade Flows, Indonesia's GDP, partner countries' GDP, exchange rates, economic distance, population, and inflation. The analysis revealed that fluctuations in Indonesia’s Plantation Commodities Trade Flows are driven by variations in export and import values. The regression results identified Indonesia's GDP, partner countries' GDP, economic distance, and exchange rates as significant factors affecting trade flows, while population and inflation had no significant impact.

Environmental Education and Pro-Environmental Behavior Among Um Peñaplata College Students

This study aimed to determine the level of environmental education, the level of pro-environmental behavior, and to examine the relationship between environmental education and pro-environmental behavior among UM Peñaplata College students. The research approach was quantitative, a descriptive-correlational design was employed. Thus, the researchers used mean, Pearson Product Moment Correlational, and regression for data analysis and interpretation. The results revealed that environmental education and students’ pro-environmental behavior is high. Further, there is a moderate correlation between environmental education and pro-environmental behavior among students. It underscored that students who applied an environmental value tends to be aware of how their behaviour affects the environment. The more the school integrates environmental education, the more it fosters pro-environmental behavior. Therefore, incorporating environmental education into schools enhances students’ sustainable actions towards the environment.