Regional industrial policies driving peri-urban dynamics in Hyderabad, India

Cities ◽  
2007 ◽  
Vol 24 (2) ◽  
pp. 95-109 ◽  
Author(s):  
Loraine Kennedy
Keyword(s):  
Industrial Policies ◽  
Urban Dynamics

Impacts of Financial Integration in the Asia Economic Community on Competitiveness of the Commercial Banks in Vietnam

2018 ◽  
Vol 34 (4) ◽  
Author(s):  
Nguyen Cam Nhung
Keyword(s):  
Financial Services ◽  
Commercial Banks ◽  
Financial Integration ◽  
International Standards ◽  
Capital Adequacy ◽  
Viet Nam ◽  
Economic Community ◽  
Industrial Policies ◽  
Capital Adequacy Ratio ◽  
Internet Economy

This paper assesses the impacts of financial integration in the Asia Economic Community (AEC) on the capacity of finance and provision of financial services of Vietnamese commercial banks. In recent years, Vietnamese commercial banks have achieved some successes as reflected in the growth indicators of operation scales, charter capital and total assets. However, under the pressure of integration, the capital adequacy ratio (CAR) fell slightly in 2016 resulting from the applying of the CAR calculation method to commercial banks in accordance with the new regulations towards step by step approaching international standards. Compared to other countries in the AEC, the capacity of finance and provision of financial services of the Vietnamese commercial banks remains low. As a result, it is necessary to carry out synchronous and drastic measures in the coming time to enhance the competitiveness of the Vietnamese commercial banks. Keywords Competitiveness, financial integration, AEC, commercial bank, Vietnam References [1] UNCTAD, World Investment Report 2018: Investment and New Industrial Policies, June 2018.[2] Cục Đầu tư nước ngoài, “Tình hình thu hút Đầu tư nước ngoài 8 tháng năm 2018”, 2018, http://fia.mpi.gov.vn/tinbai/6045/Tinh-hinh-thu-hut-Dau-tu-nuoc-ngoai-8-thang-nam-2018.[3] Google and Temasek, “e-Conomy SEA Spotlight 2017: Unprecedented growth for Southeast Asia’s $50B internet economy, 2017”, 2017.[4] Tô Thị Thanh Trúc, “Khu vực tài chính Việt Nam trong bối cảnh hội nhập tài chính ASEAN”, Tạp chí Phát triển Khoa học và Công nghệ, 19 (2016) Q1, 2016.[5] Phạm Xuân Hoan, Nguyễn Cẩm Nhung, Nguyễn Bích Thủy, “Ngân hàng TMCP Ngoại thương Việt Nam: Chủ động đón AEC”, Tạp chí Kinh tế và Dự báo, Số 2 tháng 1/2016.[6] Phạm Xuân Hoan, Nguyễn Cẩm Nhung, Nguyễn Bích Thủy, “Khả năng thích ứng của các ngân hàng thương mại Việt Nam khi tham gia hội nhập AEC”, Tạp chí Tài chính, Kỳ 1 tháng 12/2015 (622).[7] Trần Thị Vân Anh, “Ngân hàng Việt Nam trong tiến trình gia nhập Cộng đồng Kinh tế ASEAN”, Tạp chí Khoa học Xã hội Việt Nam, 4 (2016) 101.[8] Nguyễn Thị Diễm Hiền, “Một số vấn đề về ngân hàng thương mại khi Việt Nam gia nhập Cộng đồng Kinh tế Asean”, Tạp chí Phát triển Khoa học và Công nghệ, 19 (2016) Q1, 2016.[9] Blattner N., “Competitiveness of Banks”, Journal of Financial Economics, N.21 (1992).[10] PwC Growth Markets Centre, The Future of ASEAN - Time to Act Financial Services, 2018.

Sectoral Analysis of Foreign Direct Investment in India During First Generation Reform Period

2015 ◽  
Vol 4 (2) ◽  
Author(s):  
Manoj Kumar Sinha
Keyword(s):  
First Generation ◽  
Correlation Matrices ◽  
Foreign Investors ◽  
Industrial Policies ◽  
Sectoral Analysis ◽  
Industrial Sectors ◽  
Reform Period ◽  
Service Sectors ◽  
Almost All ◽  
Rank Dominance

Since 1991, India has cautiously and slowly opened almost all the sectors, except a few related to strategic importance, for foreign investors. Degree of openness of various industrial sectors for FDI has been increased to the extent of 100 percent by consistently liberalizing industrial policies of the sectors. The purpose of the paper is to study pattern and trends of sectoral distribution of FDI within the background of the first generation reforms and liberalized industrial policies during 1991-2001. The paper has used series of the dynamics and stylistic indices and statistical tools such as three level indices, index of rank dominance, and correlation matrices for explaining the pattern of FDI distribution across sectors during 1991-2001. The results show that electrical, transportation, chemical, telecommunication, and service sectors are most dominating sectors and represent almost 75 percent of total FDI received during 1991-2001. Index of rank dominance indicates distribution of FDI across the sectors is top heavy.

scholarly journals G-Tric: generating three-way synthetic datasets with triclustering solutions

2021 ◽  
Vol 22 (1) ◽  
Author(s):  
João Lobo ◽  
Rui Henriques ◽  
Sara C. Madeira
Keyword(s):  
State Of The Art ◽  
Synthetic Data ◽  
Ground Truth ◽  
Real Data ◽  
Three Dimensions ◽  
Additional Advantage ◽  
Urban Dynamics ◽  
Data Generator ◽  
Real World Datasets ◽  
Synthetic Datasets

Abstract Background Three-way data started to gain popularity due to their increasing capacity to describe inherently multivariate and temporal events, such as biological responses, social interactions along time, urban dynamics, or complex geophysical phenomena. Triclustering, subspace clustering of three-way data, enables the discovery of patterns corresponding to data subspaces (triclusters) with values correlated across the three dimensions (observations $$\times$$ × features $$\times$$ × contexts). With increasing number of algorithms being proposed, effectively comparing them with state-of-the-art algorithms is paramount. These comparisons are usually performed using real data, without a known ground-truth, thus limiting the assessments. In this context, we propose a synthetic data generator, G-Tric, allowing the creation of synthetic datasets with configurable properties and the possibility to plant triclusters. The generator is prepared to create datasets resembling real 3-way data from biomedical and social data domains, with the additional advantage of further providing the ground truth (triclustering solution) as output. Results G-Tric can replicate real-world datasets and create new ones that match researchers needs across several properties, including data type (numeric or symbolic), dimensions, and background distribution. Users can tune the patterns and structure that characterize the planted triclusters (subspaces) and how they interact (overlapping). Data quality can also be controlled, by defining the amount of missing, noise or errors. Furthermore, a benchmark of datasets resembling real data is made available, together with the corresponding triclustering solutions (planted triclusters) and generating parameters. Conclusions Triclustering evaluation using G-Tric provides the possibility to combine both intrinsic and extrinsic metrics to compare solutions that produce more reliable analyses. A set of predefined datasets, mimicking widely used three-way data and exploring crucial properties was generated and made available, highlighting G-Tric’s potential to advance triclustering state-of-the-art by easing the process of evaluating the quality of new triclustering approaches.

scholarly journals When Industrial Policies Conflict With Population Health: Potential Impact of Removing Food Subsidies on Obesity Rates

2021 ◽  
Vol 24 (3) ◽  
pp. 336-343
Author(s):  
Silvia Rodríguez-Mireles ◽  
Beatriz G. López-Valcárcel ◽  
Lluís Serra-Majem
Keyword(s):  
Population Health ◽  
Industrial Policies ◽  
Food Subsidies ◽  
Potential Impact

scholarly journals Mapping 20 Years of Urban Expansion in 45 Urban Areas of Sub-Saharan Africa

2021 ◽  
Vol 13 (3) ◽  
pp. 525
Author(s):  
Yann Forget ◽  
Michal Shimoni ◽  
Marius Gilbert ◽  
Catherine Linard
Keyword(s):  
Case Studies ◽  
Urban Areas ◽  
Urban Expansion ◽  
Local Population ◽  
Sub Saharan Africa ◽  
Annual Growth Rate ◽  
Urban Dynamics ◽  
Mapping Approach ◽  
Sub Saharan ◽  
The Impact

By 2050, half of the net increase in the world’s population is expected to reside in sub-Saharan Africa (SSA), driving high urbanization rates and drastic land cover changes. However, the data-scarce environment of SSA limits our understanding of the urban dynamics in the region. In this context, Earth Observation (EO) is an opportunity to gather accurate and up-to-date spatial information on urban extents. During the last decade, the adoption of open-access policies by major EO programs (CBERS, Landsat, Sentinel) has allowed the production of several global high resolution (10–30 m) maps of human settlements. However, mapping accuracies in SSA are usually lower, limited by the lack of reference datasets to support the training and the validation of the classification models. Here we propose a mapping approach based on multi-sensor satellite imagery (Landsat, Sentinel-1, Envisat, ERS) and volunteered geographic information (OpenStreetMap) to solve the challenges of urban remote sensing in SSA. The proposed mapping approach is assessed in 17 case studies for an average F1-score of 0.93, and applied in 45 urban areas of SSA to produce a dataset of urban expansion from 1995 to 2015. Across the case studies, built-up areas averaged a compound annual growth rate of 5.5% between 1995 and 2015. The comparison with local population dynamics reveals the heterogeneity of urban dynamics in SSA. Overall, population densities in built-up areas are decreasing. However, the impact of population growth on urban expansion differs depending on the size of the urban area and its income class.

Sign in / Sign up

Export Citation Format

Share Document