189 research outputs found
IMPACT OF CORRUPTION ON FOREIGN DIRECT INVESTMENTS (FDI) IN MALAYSIA
Abstract: his paper discusses the impact of corruption on foreign direct investment (FDI) in Malaysia. Corruption is an abuse of power to obtain personal benefits while foreign direct investment (FDI) refers to a growing investment relationship between nation, people and economic activities. In this regard, this study examines the relationship between corruption and FDI in Malaysia. Since this study need the latest information, this study uses quantitative secondary data. The data were obtained from 1995 to 2016. This study covers time series data, then the statistical test such as Unit Root Test, Vector Autoregression Estimates (VAR) Test, ARDL Method Test, Breusch-Godfrey Test, White Test Heteroskedasticity and the Ramsey Reset Test are used. The results of the study shows that when foreign direct investment in a country increases, the level of corruption in the country will increases as well. The corruption can be reduced by certain actions and strict laws.
Keywords: Corruption, Foreign Direct Investment, Malaysia.
Title: IMPACT OF CORRUPTION ON FOREIGN DIRECT INVESTMENTS (FDI) IN MALAYSIA
Author: KAVITHA CHANDRAN
International Journal of Recent Research in Commerce Economics and Management (IJRRCEM)
ISSN 2349-7807
Vol. 10, Issue 1, January 2023 - March 2023
Page No: 89-97
Paper Publications
Website: www.paperpublications.org
Published Date: 14-March-2023
DOI: https://doi.org/10.5281/zenodo.7732593
Paper Download Link (Source)
https://www.paperpublications.org/upload/book/IMPACT%20OF%20CORRUPTION-14032023-5.pdfInternational Journal of Recent Research in Commerce Economics and Management (IJRRCEM), ISSN 2349-7807, Paper Publications, Website: www.paperpublications.or
A Novel Tri-Stage Recognition Scheme for Handwritten Malayalam Character Recognition
AbstractThe paper proposes an efficient and novel approach of Malayalam character recognition which acquires higher recognition rate for entire character set of Malayalam script. The proposed scheme follows a three stage feature extraction. In the first stage we are grouping characters into different classes based on the number of corners, bifurcations, loops and endings. In the second phase we are identifying exact character in the class based on the different feature extraction technique specially defined for each class. In the third stage we are checking the probability of occurrence of the current character in the given position based on defined rules for the formation of words
Racial disparities in nutritional factors and breast cancer risk
The current evidence on nutritional factors and breast cancer risk is largely based on studies in white women while research in women of African ancestry (AA) is severely limited. We examined racial differences in the relationship between consuming foods of animal origin (never investigated) and alcohol (limited evidence) and breast cancer risk. We also assessed racial disparities in behaviors consistent with evidence-based cancer prevention recommendations and association with breast cancer risk. Investigations were conducted in AA and white women participating in the Women’s Circle of Health Study, a case-control study based in NY and NJ. A total of 1692 AA and 1455 white women completed a questionnaire on important risk factors and a Food Frequency Questionnaire. Risk estimates and 95% confidence intervals were calculated using logistic regression adjusting for potential covariates. Racial differences in consumption levels of red meat, poultry, dairy, and alcohol as well as adherence to guidelines on body fatness and physical activity were observed in our study. We found increased risks for greater consumption of red meat and poultry and reduced risks for dairy foods in white but not in AA women. Further differences emerged in subgroup analyses. Lifetime alcohol consumption was inversely related to decreased breast cancer risk in AA women but no association between recent or lifetime drinking was observed in white women. While assessing racial differences in behaviors that are consistent with cancer prevention recommendations and breast cancer risk, we observed that recommendations pertaining to foods and drinks that promote weight gain, sodium, alcohol, and red meat intakes were suggestive of reduced breast cancer risk among subgroups of AA women. Restricting red meat intake and caloric dense foods appeared to be beneficial in sub groups of white women. A positive relationship between physical activity and disease risk was observed in AA women. Overall, this study observed racial disparities in nutritional factors and highlighted relationships warranting replication, particularly in AA women given the dearth of research in this group. Put together, the findings contribute towards filling the large gap in understanding disease-environment associations that could be modified by race to facilitate effective prevention strategies.Ph. D.Includes bibliographical referencesby Urmila Chandra
Advancements and recent trends in emotion recognition using facial image analysis and machine learning models
Lossy image compression using SVD coding, compressive autoencoders, and prediction error-vector quantization
Comparative study of camshift and KLT algorithms for real time face detection and tracking applications
Performance analysis of LSB, DCT, and DWT for digital watermarking application using steganography
Convolutional Neural Network with Fourier Transform for Road Classification from Satellite Images
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