Hasil untuk "Economics"

K. Arrow

A. Lösch

M. Pauly

W. Silver

R. Rumelt, D. Schendel, D. Teece

Philip Mirowski

F. Mishkin

R. Sugden

H. Daly

O. Williamson

G. Borjas

This literature review concerns the impact of immigration on the economy of the host country focusing on the experience of the United States. The emphasis is on the period from the 1970s to the 1990s. The author shows that research earlier in this period generally concluded that the economic effects of immigration were positive but that more recent research on later migrations have generally concluded that immigration may be having an adverse effect on the earnings of native unskilled workers and be placing an increased burden on welfare programs. The importance of such economic analysis for the formulation of appropriate migration policies is stressed.

O. Williamson

N. Mankiw

Lucien Karpik

Jon P. Nelson, Peter E. Kennedy

E. Golan, F. Kuchler, L. Mitchell et al.

Haiyan Song, L. Dwyer, Gang Li et al.

Emmanuel Oyasor

Investors are generally concerned about the share prices of listed firms as they depict the risk-return characteristics of their investments. The study examined firm-specific and macro-economic determinants of share pricing of listed firms in Nigeria. The study focused the listed consumer goods firms and data which were extracted from the audited annual report of eighteen (18) firms from 2010 to 2022. Macro-economic data were also obtained from World Bank Database and the Central Bank of Nigeria statistical bulletin. Two-step System Generalized Method of Moments (GMM) was used to analyze the data. Findings showed positive effects of dividend payout and leverage, on share prices at 1% and 5% significant levels respectively. Return on assets and firm growth was found to have had negative, effect on share prices at 1% and 10% significant level, respectively. Also, money supply had negative effect at 1% significant level, while crude oil price had positive effect at 10% significant level. The result further showed that political event had negative effect on share prices at 1% significant level. The study concluded that firm-specific factors and macro-economic variables significantly influence share prices of listed consumer goods firms in Nigeria. The study recommended that potentials investors should monitor the movement of dividend payout, leverage, and return on asset, firm growth, money supply and crude oil price when making investment decision in the sector

Milica Inđić, Aleksandra Marcikić Horvat, Milos Pjanić

By examining intermediate, operating, and profitability aspects, this paper aims to construct a performance model for evaluating the relative efficiency and potential for improvement of 20 banks operating in Serbia for the 2022-2023 period. Data Envelopment Analysis (DEA), which belongs to relatively new data-oriented techniques, was used in the research to measure efficiency. To achieve its goals, the paper makes use of the CCR and BCC, two fundamental DEA models, and three approaches: intermediary, operating and profitability. The results of the analysis showed that the highest efficiency can be attributed o the use of the intermediate approach, while the lowest efficiency of banks can be attributed to the profitability approach. Additionally, the BCC model has higher efficiency compared to the CCR model. According to the analysis results, efficiency has generally grown and is comparatively stable.

Jianjun Chen, Liyuan Zheng, Huilai Zou et al.

Precise segmentation of individual teeth from digital three-dimensional (3D) tooth models is critical in computer-assisted orthodontic surgery. This study explores the application of Point Multi-Layer Perceptron (PointMLP) in processing 3D tooth models and introduces an innovative integration of the Graph Attentional Convolution (GAC) Layer with a graph attention mechanism. By incorporating the GAC Layer into PointMLP, the model can focus on key local regions in the 3D tooth model and dynamically adjust the attention applied to these areas. This enhanced attention mechanism allows the model to better capture subtle surface structures, facilitating the accurate extraction of valuable local features. Compared to other traditional segmentation algorithms, the proposed method shows improvements of 1.1, 2.04, 1.06, 2.2, and 1.8 percentage points in Overall Accuracy (OA), Sensitivity (SEN), Positive Predictive Value (PPV), and Intersection Over Union (IoU), respectively. At the same number of training epochs, our method outperforms both GAC and PointMLP in segmentation performance.