Trade, Finance, and Industry in the Development of Indian Capitalism: The Case of Tata

Raianu, Mircea

doi:10.1017/s0007680520000288

Cited by 2 publications

(1 citation statement)

References 28 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It has been found that the current regulation is not conducive to the liquidity of the stock market, and it is recommended that exposure to policy restrictions be exposed to attract new investors. Literature [7] rethought the trade-industry nexus in the process of capitalist development in India, starting with an in-depth analysis of the Tata Group, a giant in the textile and steel industries, focusing on how its overseas trading subsidiaries play a significant intermediary role in securing conditions in terms of financing and market access for the parent company, and Literature [8] investigated, based on the Clean Development Mechanism (CDM) of the Kyoto Protocol, the Mardushan, China Hydropower Station in the vicinity of the region, where the dam is financed with carbon financing, and based on the investigation found that the CDM consolidates hydropower governance and promotes a specific socio-economic modernization model in the western provinces of China. Literature [9] used the generalized matrix method to estimate the investment structure Q model on three aspects of financial development: financial depth, the degree of utilization of finance by state-owned enterprises and the degree of market-driven as well as the financing of commercial banks in the economy.…”

Section: Introductionmentioning

confidence: 99%

Research on Digital Inclusive Finance, Innovative Factor Allocation and High Quality Economic Development Based on Artificial Intelligence

Shang

2024

Applied Mathematics and Nonlinear Sciences

View full text Add to dashboard Cite

This paper firstly organizes and summarizes the random forest model algorithm in artificial intelligence and secondly uses the XGBoost algorithm with the classification regression tree as the base classifier to explore the relationship between digital financial inclusion, innovative factor allocation and high-quality economic development. Major databases and relevant websites are used to establish the evaluation index system, and the index homogenization is done. The economic high-quality development score is measured using the principal component analysis next. Finally, the principal component scores are weighted and summed according to the proportion of the variance contribution ratio of each principal component to the cumulative variance contribution ratio of the extracted principal components. After calculating the score, it was found that the innovation indicator, which had risen year after year between 2014 and 2018, decreased significantly from 2019 onwards, with the score falling from 2.21 to 1.48, a decrease of 33%. The growth rate of digital financial inclusion declined from 0.93 and finally maintained at 0.45 to 0.47. The economic development index first grew from -11.88 to 2.41, increasing by 3 to 5 each year, and then the growth rate was maintained at about 66%, growing to 6.58 in 2022.

show abstract

Section: Introductionmentioning

confidence: 99%