A Panel Data Analysis on Sustainable Economic Growth in India, Brazil, and Romania

Bătrâncea, Ioan; Kumaran, R. Malar; Bătrâncea, Larissa; Nichita, Anca; Găban, Lucian; Gheorghe, Fatacean; Tulai, Horia; Bircea, Ioan; Rus, Mircea-Iosif

doi:10.3390/jrfm13080170

Cited by 46 publications

(31 citation statements)

References 31 publications

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“…e number of listed companies with abnormal financial conditions or other abnormal conditions in China is increasing year by year, whether from the perspective of preventing corporate financial risks or from the perspective of promoting healthy and stable economic development [3]. Early warning of financial distress of listed companies is of great significance.…”

Section: Introductionmentioning

confidence: 99%

Financial Crisis Early Warning Based on Panel Data and Dynamic Dual Choice Model

2021

Complexity

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Based on the research of currency crisis pressure index, bank crisis pressure index, and asset bubble crisis pressure index, this paper introduces an external shock pressure index reflecting the impact of global economic changes on economy and synthesizes systemic financial crisis pressure based on the above four pressure indexes; then, all the alternative early warning indicators and the systemic risk pressure index constructed in this paper were tested for Granger causality. We build financial systemic risk pressure indexes, including currency crisis pressure (CCP) banking crisis pressure (BCP) index, bubble crisis pressure (PBP) index, and external shock pressure (ESP) index to predict financial crises. Finally, four indicators that have a significant impact on the systemic financial crisis pressure index were selected, namely, the stock price index change rate, industrial added value growth rate, domestic and foreign real deposit interest rate differential, and foreign direct investment as a percentage of GDP. A dynamic Logit model with lagging binary variables is constructed, and compared with the traditional static Logit line, the actual dynamic fitting effect is better than the static Logit model. The dynamic Logit model is used to predict the early warning status of systemic financial crisis in 2020, and the forecast of various early warning indicators is realized by the ARIMA model. The final prediction results show that the probability of a systemic financial crisis in China in 2020 is extremely low, almost zero. This is in line with the overall improvement in the international economic situation in 2020 and the steady growth of the domestic economy.

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Section: Introductionmentioning

confidence: 99%

Financial Crisis Early Warning Based on Panel Data and Dynamic Dual Choice Model

2021

Complexity

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“…They also assert on health authorities for providing digestible input data to perform economic forecasting. Henceforth, the macroeconomy and sustainable economic growth depends on robust financial and health systems (Batrancea et al, 2018;Ioan, Malar Kumaran, et al, 2020;Ioan, Mozi, et al, 2020;Larissa, et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Impact of COVID-19 pandemic disease outbreak on the global equity markets

Shaikh

2020

Economic Research-Ekonomska Istraživanja

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“…There is a particular interest and in the Manufacturing Exports, in this study, came the arrests stem that this sector is a potential engine for the Economy segment in the country also came in the Economic Growth, Modernization and Industrialization of the creator for jobs that require the skills and characteristics of and describe the positive effects multiply [27,28]. Thus, the link or relationship between Financial Capital Inflows and Manufacturing Exports should not contain the fact that the expansion of Exports is all we can do to grow the Economy and Development, the factory under the rule of the Palestinian National Authority, which in turn enhances the Productivity or (GDP) of the country, especially if any country has the right of access to new Technologies and Self-Development and application of management practices by Foreign Direct Investment (FDI), etc.…”

Section: Introductionmentioning

confidence: 85%

Financial Capital Inflows, Manufacturing Exports and Economic Growth in Palestine: A Threshold Regression Analysis

Badwan

Atta

2021

AJEBA

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Aims: The study examined the Optimal Level of the Financial Capital Inflows and Manufacturing Exports, Economic Growth in Palestine. Annual data from the (2000-2018) to Foreign Direct Investment (FDI), Foreign Portfolio Investment (FPI), cross-border borrowing from the World Bank (Components Of Financial Capital Inflows) Financial Sector Development (FSD) real GDP (RGDP) and Manufacturing Exports (MEX) were no different from other Production Sources, Palestinian Monetary Authority (PMA) and Ministry of National Economy (MONE), Ministry of Finance and Planning (MOFP), Palestinian Central Bureau of Statistics (PCBS), Statistical Bulletin while data on Gross Capital Formation (GCF) and Human Capital (HC) was the source of the World Bank also curvature. Study Design: Cross-Sectional Survey Research (Qualitative & Quantitative). Place and Duration of the Study: Various Governmental Organizations in Palestine, between the periods (2000-2018). Methodology: Quantitative and Qualitative specification model, the equations used to examine the Optimal Level, impact and the relationship of Financial Capital Inflows and Manufacturing Exports on Palestinian Economic Growth, Threshold Regression Analysis was used to detect and verify the Optimal Level of Financial Capital Inflows by analyzing the data that have been collected from the Electronic Sources which available on the official websites of Governmental Organizations for the period (2000-2018). The methodology of the study revealed the relationship of the Optimal Level of Financial Capital Inflows with Manufacturing Exports on Economic Growth in Palestine. Data collection process and data analysis techniques employed to achieve the current study objective. Results: The study found that the optimization results showed that the Financial Capital Inflows of (CINF) Threshold value (21.77%) with a coefficient of (7.74) per year is the Optimal Level of Financial Capital Inflows in Palestine the Threshold Point Manufacturing Exports to any Financial Capital Inflows (CINF) of the Threshold value of Manufacturing Exports in Palestine. The study concludes that the Optimal Level for Financial Capital Inflows to Economic Growth is (21.77%); any Threshold Level above the sustainable level of Economic Growth will be adversely affected in Palestine. Conclusion: Findings of the study found that the Flow of Financial Capital Threshold exists for the Manufacture of Exports, and therefore recommends that excessive Financial Capital Inflows should be avoided in the country so that it does not make the conduct of Monetary Policy difficult, while the need of Financial Capital Inflows must be monitored well and directed to sectors (such as Industry, Agriculture, Mining and Quarrying) that have the absorptive capacity for them.

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A Panel Data Analysis on Sustainable Economic Growth in India, Brazil, and Romania

Cited by 46 publications

References 31 publications

Financial Crisis Early Warning Based on Panel Data and Dynamic Dual Choice Model

Financial Crisis Early Warning Based on Panel Data and Dynamic Dual Choice Model

Impact of COVID-19 pandemic disease outbreak on the global equity markets

Financial Capital Inflows, Manufacturing Exports and Economic Growth in Palestine: A Threshold Regression Analysis

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