Economic Growth
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2022 ◽  
Vol 17 (1) ◽  
pp. 235-245
Author(s):  
Priya Singh ◽  
◽  
Ajit Kumar Behura ◽  

Economic growth and development with least harm to the environment is one of the biggest challenges for the human. Mining which is considered to be the most inherently unsustainable industry, is at the same time, plays key role in the development process in India and across Globe. It occupy primary position in the supply chain, contributing to the foreign direct investment, exports, government taxes, GDP (National Income) and provide huge labour employment. This paper studies industrial elimination of women, prolong industrial patriarchy, impetuous production, rising demand pressure has added to the quadrupling problems of land degradation, disposal of over burden/waste discharge, deforestation, pollution(air, water, and noise), and damage to forest flora and fauna, occupational health hazards and extreme global environmental damage in a rapid, continuous manner. These continuous and multi-layered problems are giving us reason to re-visioning steps, where we went wrong. Theoretical foundation of eco-feminism traces that negligence and suppression of women in general and in the mining industry, is one of the probable cause that hit environment fiercely. With this in mind, this paper suggests theory of eco-feminism into male centric mining industry as a perspective which is more likely to lead to industrial sustainability, making it more responsible and may provide pro-environmental solutions to the industry. This feminist concept extending it from individualistic level into mining organisations proposes as one of the alternative to combine ecology and commerce to envision sustainability.


Abstract As the world is facing numerous global ecological issues at once, the question arises of what will help mitigate and solve contemporary matters related to resource management or climate change without devastating the economies. Fortunately, the widespread application of the circular economy would help countries worldwide simultaneously ensure economic growth without significant environmental deterioration, essentially decoupling the two factors. While Hungary’s contribution to environmental problems is not significant in absolute terms, the economic sector’s circular transition could help the country decrease its impact in relative terms and pave the path for a green economy. Nevertheless, companies, especially SMEs, tend to struggle the most with the initial phases of the shift thus it is crucial to assess the factors that prevent and support their transition.


2021 ◽  
Vol 12 ◽  
Author(s):  
Xingyang Yu ◽  
Mingji Liu

The economic restructuring and rapid rise of the economy in Northeast China have resulted in a proliferation of new ventures. Studying the psychology of new entrepreneurs is conducive to understanding the relationship between human capital and economic growth. The work reported here aims to explore the impact of human capital on economic growth in Northeast China and the influencing factors of psychological capital of new entrepreneurs in the entrepreneurial process. Based on Cobb–Douglas production function, the relationship between labor, physical capital, or human capital and economic growth in Northeast China is analyzed by econometric methods, and a model of human capital and economic growth in Northeast China is constructed. Besides, a psychological capital intervention (PCI) model is proposed to develop the psychological capital of new entrepreneurs, and the psychological quality structure model of entrepreneurial entrepreneurs and its operation mechanism. The results of the empirical analysis demonstrate that the elasticity coefficient of human capital in Northeast China is 0.15902, five times smaller than that of labor and physical capital. Moreover, 70% of new ventures are willing to accept higher education. The fitting degree of using the PCI model to develop the psychological capital of new ventures is only 0.3%. In addition, the modified external environment PCI instead of the external environment PCI model has a huge operating potential in the macro-entrepreneurial environment. In conclusion, the impact of human capital on economic growth in the northeast is smaller than the impact of labor and material capital investment on regional economic growth. The development of human capital and research on the composition and mechanism of psychological quality of entrepreneurial entrepreneurs are of significant theoretical and practical values to promote the economic growth in the northeast.


2021 ◽  
Vol 36 (4) ◽  
pp. 689-717
Author(s):  
Folorunsho M. Ajide ◽  
Tolulope T. Osinubi ◽  
James T. Dada

An increasing number of studies are examining the relationship between entrepreneurship and growth. This relationship is controversial, especially for developing countries. Recent improvements in economic growth have led to a focus on growth inclusiveness, which spreads economic opportunities throughout a society. However, studies that focus on the role of entrepreneurship in inclusive growth remain scarce. To fill that gap, this study investigates the dynamic relationship between economic globalization, entrepreneurship, and inclusive growth in 21 African countries using panel econometrics to examine data covering 2006 to 2018. The results reveal that the impact of economic globalization and entrepreneurship on inclusive growth is positive and significant. We find that economic globalization enhances entrepreneurial development, and causality tests show that economic globalization drives inclusive growth. We also find a unidirectional causality from entrepreneurship to inclusive growth. Finally, we observe no direction of causality between economic globalization and entrepreneurship but observe a bidirectional causality between governance and entrepreneurship. We discuss the implications of these results.


2021 ◽  
Vol 10 (2) ◽  
pp. 128-145
Author(s):  
Woosik Yu

This paper analyzes the effect of the so-called ‘brain drain’ on economic growth through the channel of growth in total factor productivity. We analyze panel data that measure the severity of brain drain, which are from IMD and the U.S. National Science Foundation. Our analysis shows that middle-income countries have more brain drain compared to the group of high-income countries. Also, emerging economies that grow fast tend to experience more brain drain. Our results from fixed effects regression models show that that brain drain has a significant and positive impact on economic growth, and the main channel is productivity growth. This can be considered as evidence of the positive effects of ‘brain circulation’, which is one of the brain drain phenomena that settlement of the talents in advanced countries can eventually help improve the productivity of home country by the sharing of advanced technologies and skills around them with colleagues in motherland. Therefore, a strategy of utilizing overseas resident talents should also be considered, alongside the brain-attraction policy.


Energies ◽  
2021 ◽  
Vol 14 (23) ◽  
pp. 8033
Author(s):  
David Guan ◽  
Ubaldo Comite ◽  
Muhammad Safdar Sial ◽  
Asma Salman ◽  
Boyao Zhang ◽  
...  

Developing energy from renewable sources and modernizing the energy system are critical components of China’s efforts to combat climate change. Policymakers and authorities have made significant attempts to bring them. However, one of the major impediments to China’s energy revolution is financial limitations, which are inextricably linked to the country’s economic growth. The present research paper intends to investigate the relationship between economic growth and sustainable financial development on the use of energy from renewable sources in both the short and long run in the context of China. To achieve this, the researchers have utilized the panel data consisting of 10 years from 2011 to 2020. When compared to cross-sectional and time-series data samples, the panel data model offers many benefits. For starters, the panel data includes information on the passage of time and the cross-sectional area. Another benefit of using panel-data models with a larger degree of freedom is that they provide more stable and reliable estimates across short periods across cross-sections. In the case of the short run, there is a positive relationship between economic and financial development and the use of energy from renewable sources in the context of all of China. While in the case of long-term effects, the results indicate the adverse impact of financial development on the use of energy from renewable sources in the western regions of China. These results were deduced using the causality test Granger proposed to determine the path of the causal relationship and the direction of the relationship between the variables. These results indicated that the relationship between economic and financial development in east China was unidirectional, and the nature of the underlying relationship was causal. Meanwhile, in east and west China, economic development in China as a whole has been unidirectionally increasing energy from renewable sources. Our empirical findings suggest many strategies for promoting the growth of energy from renewable sources.


2021 ◽  
Vol 12 (8) ◽  
pp. 2079-2093
Author(s):  
Md. Mamun Miah ◽  
Tahmina Akter Ratna ◽  
Shapan Chandra Majumder

Purpose of the study: Main purpose of the paper is to find out the impact of corruption on the economic growth of Bangladesh, India, and Pakistan. At the same time, our other objectives are to find the long and short-run effects of corruption on growth in these countries. Methodology: For conducting the study, we have taken the data from Bangladesh, India, and Pakistan. For this study necessary secondary data have been collected from 1990 to 2016 based on countries like Bangladesh, India, and Pakistan. Data for economic growth (dependent) and trade (independent) are collected from World Development Bank and data for corruption are taken from International Country Risk published by the PRS Group. The study has used ECM ARDL Model and the Fixed Effect Model.  Findings: The result of the fixed effect model shows a 1percent increase in corruption decreases GDP by 0.07 units and shows a negative relationship with economic growth. Again if trade increases by 1 percent then growth will increase by 0.09 units on average and shows a positive relationship with economic growth. ECM ARDL Model shows the positive coefficient of corruption but not significant but trade has a long-run positive influence on economic growth. The error correction term indicating that the adjustment is corrected by 70% in these three countries. Contributions: This paper may be helpful for existing literature gap and also for further research. It will be helpful for policy makers to control corruption in three countries.


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