Rapid Economic Growth Research Articles

STATUS OF THE RENEWABLE ENERGY IN INDIA

As India faces the dual challenges of rapid economic growth and rising energy demands, the shift towards renewable energy has emerged as a crucial strategy for sustainable development. This study examines the role of renewable energy in India’s energy landscape and its impact on sustainable development. Renewable energy is essential for enhancing energy security, reducing environmental pollution, driving economic growth, and improving public health. By reviewing recent literature and analysing the progress in renewable energy adoption, this study highlights the significant advancements made in solar, wind, and bioenergy sectors. It also explores the benefits of renewable energy, including reduced greenhouse gas emissions, increased energy access, and alignment with global climate commitments. The findings emphasize the importance of continued investment, innovation, and supportive policies to maintain momentum and ensure a sustainable energy future for India. Further study used Average annual growth rate and graphs only. KEY WORDS: sustainable development, environmental, economic growth, greenhouse gas emissions

Spatial patterns and their influencing factors for China’s catering industry

The catering industry plays an essential role in providing life services. Understanding its spatial patterns offers insights into the economic, cultural and spiritual image of a society. Especially in urban settings, the catering industry is often considered a key element for improving the competitiveness of cities. With rapid urbanization and economic growth in China, the catering industry has become the main driving force to stimulate China’s service sectors. In this study, we conducted a comprehensive spatial analysis to explore the distribution patterns by calculating kernel density and applying the geographically weighted regression (GWR) model with 4.49 million restaurants across 336 cities in China in 2020. The restaurants were categorized into four types: Chinese restaurants (CRs), Western restaurants (WRs), fast-food restaurants (FFRs), and dessert and drink restaurants (DDRs). We incorporated a diverse set of socio-economic indicators to explore potential causal influences, including population size and density, GDP, etc. Our study revealed a gradual decrease in restaurant density from southeast to northwest China, with high density observed in the Pearl River Economic Delta, Yangtze River Economic Delta, Chongqing, and Chengdu regions. In terms of the potential influencing factors, we observed that in west and southwest regions, density appeared to be more affected by GDP per unit area, total tourism revenue, disposable income per capita of urban residents, and total retail sales of social consumption. While in northeast areas, restaurant density was more affected by total retail sales of social consumption, GDP per unit area, number of urban population, and the proportion of tertiary industry in GDP. These insights serve as a direct scientific foundation for informing the strategic planning of different types of restaurants at municipal, provincial, and regional levels.

Analysis of carbon peak achievement at the provincial level in China: Construction of ensemble prediction models and Monte Carlo simulation

As China advances toward its carbon peaking goals, many regions face the challenge of balancing rapid economic growth with sustainable development. Evaluating carbon emissions at the provincial level is crucial for formulating effective strategies to achieve China's carbon peak targets. This study aims to construct an accurate model for predicting carbon emissions and to explore the evolution of these emissions across Chinese provinces, as well as their contributions to national carbon peak targets. Using the Environmental Kuznets Curve (EKC) theory, the 30 provinces were categorized into groups. An ensemble carbon emissions forecasting model was developed by integrating time-series models with multifactor models. Three scenarios were established within the framework of Shared Socioeconomic Pathways (SSPs) and Representative Concentration Pathways (RCPs). Monte Carlo simulations were employed to explore potential pathways to achieve carbon peaks. The results indicate that China will reach its carbon emission peak between 2030 and 2031, with peak values expected to range between 11,499.65 and 11,629.51 Mt. Significant differences were observed among the provincial groups in their contributions to carbon peaking. Groups II and III are projected to peak in 2030 and 2022, respectively, while Groups I and IV face greater challenges, with peak years projected between 2032–2035 and 2031–2034, respectively. Four tiers with different emission reduction responsibilities were identified by comparing the peak times of the 30 provinces under the three scenarios, and optimal recommendations for achieving carbon peaks were proposed for each province. The accurate prediction models and Monte Carlo simulations provide reliable results for achieving carbon peak targets across Chinese provinces, offering a scientific basis for optimizing national carbon emission reduction policies.

Analysis of Social Perspectives in Reconstructing the History of Urbanization in Medan City

Urbanization is considered to be an ingrained social phenomenon in various large Indonesian cities, characterized by rapid urban population growth and drastic changes in social, economic and environmental structures. Urbanization in Indonesia shows a rapid increasing trend over the last few decades. Medan City, as one of the main urban centers in North Sumatra, has not escaped the impact of significant urbanization. Along with rapid economic and demographic growth, the city has experienced a major transformation in various aspects of city life. This research aims to identify the history of urbanization in Medan City from a social perspective. The research method used is a qualitative descriptive method through literature study sourced from journals, scientific articles, books and other relevant sources. The results of this research show that urbanization in Medan City has been going on for a long time. Strategically located on the east coast of Sumatra and between the confluence of the Deli River and the Babura River, Medan has vital trade access to the Malacca Strait. Especially in the period 2012 to 2022, the increase in population in Medan City occurred in almost all sub-districts. Of the 21 sub-districts, 17 sub-districts experienced an increase in population of more than 10%. Only one sub-district experienced a decline in population, namely Medan Baru Sub-district by 7.89%. The high level of urbanization in the city of Medan is generally caused by several factors, such as strategic location, the presence of natural resources (SDA), and supporting natural conditions. Meanwhile, the impact on society's social life includes rapid population growth, changes in societal structure, and social and cultural dynamics.Keywords: History, Urbanization, Social, Medan City

A Timeline of Journalistic Influence of Writing on the Gilded Age in American Literature

The themes found in the writings by authors during the Gilded Age are still prevalent in writings of the twenty-first century. The Gilded Age, a term used to describe a period of economic boom after the American Civil War at the turn of the century, influenced communication to readers by using the ethos unearthed by writers who were opposed to a particular politician and their policies. The Gilded Age was a time of rapid economic growth through the invention of the railroad and business. What looked like a golden time was an era of great growing pains in America between the industrial worker and the wealthy business owner. What the Gilded Age symbolized in both life and writing has become a model of writing that extended to current literature. American writers contributed to a great body of literature that flourished during the Gilded Age. The Gilded Age was a time of rapid economic growth through the invention of the railroad and business. Literature was used as a social revolt that violated the growing power of business and growing government corruption that outlined the utopias of the inefficiency of a capitalistic system. Within genres of writing such as Poetry, the later nineteenth century, and early years of the twentieth century were a poor period for American poetry providing themes of distress, doubts, and fears about American life. Within the genres of writing, newspaper writing played a crucial role in exposing scandals, the pathos of the American Dream, and the logos or persuasion by using the trials of society. Writing was a powerful communication tool during the Gilded Age that allowed writers to target events during this era. Newspaper writing was important to communicating prominent issues to the public, as it upheld ideals to question government and keep it accountable. However, the Gilded Age writings helped to permanently etch in the minds of readers the importance of themes that were prevalent post-Civil War that impacted the writing and writers of American Literature.

Evaluation of life cycle cost for the comparison of decentralized waste to composting and landfilling of municipal solid waste

BackgroundMunicipal solid waste (MSW) has increased dramatically in emerging economies like Bangladesh as a result of rapid urbanization and economic growth. Due to the high land requirements and nature of the waste, options of municipal waste management such as landfilling and waste-to-energy have proven to be expensive and inefficient. Previously, a pilot study on a waste-to-compost program in a decentralized facility was done in Dhaka to evaluate the effectiveness of municipal waste management.ObjectiveThe aim of this study was to analyze the life cycle costs (LCCs) of a waste-to-composting facility in Dhaka, Bangladesh. The objective was to ensure economical and effective management of MSW by comparing overall spending to the current and proposed waste management process.MethodologyIn order to evaluate the potential of the planned decentralized compost plant, LCC methods using UNEP/SETAC guidelines are used in the study. This includes an additional analysis of environmental and operational costs and benefits.ResultThe research found that the overall cost of the decentralized compost facility was $857,110, much less than the expenditures associated with landfilling and conventional composting methods in Dhaka.ConclusionThis study shows that a decentralized waste-to-compost plant may be a profitable option for dealing with municipal solid waste. Its potential to ease stress on municipal governments is highlighted by its much lower price tag. Insightful for policymakers and urban planners in emerging nations confronting comparable waste management difficulties, this research stresses the need to implement such creative, cost-effective approaches in quickly rising metropolitan cities.

The Effect of Inspiratory Muscle Training on Health-Related Fitness in College Students.

In an era characterized by rapid economic growth and evolving lifestyles, college students encounter numerous challenges, encompassing academic pressures and professional competition. The respiratory muscle endurance capability is important for college students during prolonged aerobic exercise. Therefore, it is of great significance to explore an effective intervention to enhance the endurance level of college students. This study explores the transformative potential of inspiratory muscle training (IMT) to improve the physical functions of college students. This research comprised a group of 20 participants who underwent IMT integrated into their daily physical education classes or regular training sessions over an 8-week period, with 18 participants forming the control group. The IMT group adhered to the manufacturer's instructions for utilizing the PowerBreathe device. The findings indicated a significant positive effect on inspiratory muscle strength (p < 0.001), showing improvements in pulmonary function, exercise tolerance, cardiac function, and overall athletic performance. These results revealed the substantial benefits of IMT in enhancing physical fitness and promoting health maintenance among college students.

Research on the Impact of RMB Exchange Rate Changes on China's Export Trade

The RMB exchange rate's fluctuation has become a critical element in China's export trade, due to the country's rapid economic growth and the quickening of global economic globalization. The potential of this exchange rate alteration to affect the cost of exports and the international market's competitiveness renders it one of the most influential regulatory forces in the export trade sector. To explore the impact of RMB exchange rate fluctuations on China's export trade, a linear regression model was constructed, based on panel data from 2001 to 2022 in 31 provinces (regions, cities) of China.A positive relationship between the real effective exchange rate index of RMB and China's total exports is evidenced by the results, and an appreciation of RMB can result in a rise in China's total exports. Therefore, the countermeasures and suggestions to stabilize exchange rate expectation, promote RMB internationalization and improve commodity competitiveness are put forward for reference.

Study on the motivation of enterprise greenwashing behavior based on the perspective of environmental commitment implementation

With the rapid economic growth, the issue of ecological environmental protection has been widely concerned by the public, and has triggered diversified discussions. As the main participants in social and economic activities, enterprises play a pivotal role in this issue, not only bearing social responsibility, but also playing a decisive role in environmental protection practices. In the context of consciously undertaking social responsibilities and responding to institutional requirements, enterprises often express their firm position and commitment to environmental protection and compliance with laws and regulations through information disclosure. In practice, some enterprises run counter to their environmental protection commitments, choosing to "low investment, high return" as the goal of greenwashing behavior. Taking Hegang as the research object, this paper summarizes the process of implementing environmental commitment as the result of the joint action of two factors: implementation ability and implementation motivation. Then, the paper analyzes the major environmental pollution cases of Hesteel, analyzes the motivation of Hesteel's greenwashing behavior from the perspective of the implementation ability and implementation motivation of environmental commitment, and finally puts forward corresponding suggestions for the shortcomings of the enterprise itself and external regulatory departments in preventing greenwashing behavior, in order to optimize the governance mechanism and improve regulatory efficiency.

G20 countries’ progress on the 7th SDG under circular economy DEA model

The purpose of this paper was to analyze the performance of the G20 nations in terms of efficiency and productivity concerning achieving the seventh Sustainable Development Goal (SDG 7) of providing affordable and clean energy between 2010 and 2019 under a circular economy framework. The diagnostic tools to measure included the output-oriented Data Envelopment Analysis (DEA, SBM) to determine efficiency and the Malmquist Productivity Index (MPI) to measure productivity. In the DEA model, renewable energy is the primary energy source as inputs and outputs as total Greenhouse Gases (GHG) emissions, electricity consumption, and renewable energy consumption. The results indicated that the efficiency and productivity of developed and emerging countries towards the 7th SDG targets were heterogeneous throughout the analysis. The results showed that among the G20 countries that ranked as efficient were emerging countries (South Africa, Brazil, India, and China). Developed countries have more to gain in efficiency by designing strategies with sustainable development and environmental policies consistent with CE actions than emerging countries. In addition, since productivity gains increased more due to efficiency changes than technology gains, as indicated by the MPI analysis, it seems reasonable to infer that strengthening research and development of resource-efficient technologies could help to reach the 7th SDG faster by increasing productivity through adopting new technologies. In the short run, all countries could benefit from a multilateral effort to reduce climate change and GHG emissions if developed countries provided technological support to emerging countries and the latter offered carbon credits to the former in exchange for measures to mitigate the emissions resulting from their rapid economic growth driven by capital investment.

Investment Opportunities in Uganda's Real Estate Market

Uganda's real estate market presents lucrative opportunities for investors driven by rapid urbanization, economic growth, and favorable government policies. Key urban centers like Kampala, Entebbe, and Mbarara are experiencing significant development, and increasing demand for residential, commercial, and industrial properties. This growth is bolstered by a steady rise in GDP, enhanced infrastructure, and increased foreign direct investment. However, investors must navigate challenges such as regulatory complexities, land ownership issues, economic volatility, and infrastructure deficiencies. Successful investment strategies include thorough market research, due diligence, strategic location choices, local partnerships, and sustainable practices. With careful planning, investors can capitalize on Uganda's dynamic real estate market and contribute to its ongoing development. Keywords: Urbanization, Economic Growth, Investment Opportunities, Real Estate Market, Infrastructure Development

Stabilization of polyacrylonitrile-based fiber with a quasi-traveling microwave applicator

This study introduces a novel microwave applicator and optimized processing conditions to enhance the stability of Polyacrylonitrile (PAN)-based precursor fiber (PF). The innovative microwave applicator facilitates the propagation of the electromagnetic (EM) field akin to a quasi-traveling wave, thus circumventing standing wave nodes. This ensures a uniform thermal distribution and broadens the heating zone. Utilizing this applicator, the PF undergoes thermal stabilization in a streamlined two-step process, completing in just 13 min, a significant improvement over the conventional 90-min process. This not only saves manufacturing time, promoting energy efficient manufacturing but also aligns with the global trend towards green energy and lightweight carbon fiber-reinforced polymer matrix composites, potentially catalyzing rapid economic growth. Fiber characterization through Raman spectroscopy (RS), X-ray diffraction (XRD), differential scanning calorimetry (DSC), and complex permittivity measurements reveals that the microwave-processed fiber meets the standard of commercial stabilization fiber (SF).

Analyzing Composite Stock Price Index Volatility in Response to Changes in Data Structure Using Bayesian Markov-Switching GARCH

Rapid economic growth was observed to have motivated economic actors and investors to maximize business performance using different methods. An example of these are stocks or shares securities showing that a person or entity has a stake in a company. Investors are primarily drawn to stocks due to their potential for substantial profits closely tied to the volatility in the stock market. The prevalence of this volatility has long been addressed using the ARCH/GARCH model, but it is not ideal for datasets experiencing structural changes. Therefore, a model was developed using the Bayesian Markov-switching GARCH approach to effectively capture the heteroscedastic component and structural changes in data and mitigate certain limitations, especially those associated with a small sample size. This study adopted the composite stock price index (CSI) data from March 2020 to April 2021 to model and understand the volatility. The results showed that the Bayesian Markov-switching GARCH model with the most negligible variance provided the best fit. It was also discovered that a more minor error variance corresponded to lower data volatility. Moreover, the concept of value at risk was used to assess the investment risk based on the criterion that a decrease in the CSI investments led to a reduction in the level of risk faced by the investors.

Trajectory Patterns of Macronutrient Intake and Their Associations with Obesity, Diabetes, and All-Cause Mortality: A Longitudinal Analysis over 25 Years.

Over the past decades, China has been undergoing rapid economic growth, which may have significantly influenced the dietary patterns and health status of the Chinese population. Our study aimed to assess the associations of potential macronutrient trajectory patterns with chronic diseases and all-cause mortality using the latent class trajectory model (LCTM) and the longitudinal data of the China Health and Nutrition Survey obtained between 1991 and 2015. A 24-hour diet recall was used to assess the dietary intake. The Poisson regression model was employed to investigate the correlations between trajectory patterns and chronic diseases and all-cause mortality. A total of 8115 participants were included in the final analysis. We explored four and three trajectory patterns for male and female populations, respectively. We found that a decreasing very high-carbohydrate trajectory together with a U-shape protein trajectory was associated with a higher risk of diabetes in the male population (odds ratio (OR): 2.23; 95% confidence interval (CI): 1.31-3.77). A similar pattern for moderate protein intake was also associated with the risk of diabetes in the female population (OR: 1.82; 95% CI: 1.18-2.79). In addition, we show that a decreasing low-carbohydrate trajectory and an increasing high-fat trajectory were associated with a lower risk of all-cause mortality (OR: 0.76; 95% CI: 0.60-0.96) and a higher risk of obesity (OR: 1.24; 95% CI: 1.05-1.47) in males. Our results shed light on some salient nutritional problems in China, particularly the dual challenges of undernutrition and overnutrition.

Integrated Urban Transport and Land-Use Policies in Reducing CO2 Emissions and Energy Consumption: Case Study of a Medium-Sized City in Thailand

In developing cities, transport activities have become one of the primary sources of CO2 emissions and energy consumption owing to rapid economic growth, urbanization, and motorization. Khon Kaen City, Thailand, was chosen as a representative mid-sized city of a developing country to investigate the potential influences of transit-oriented development (TOD), light rail transit (LRT), and electric vehicle (EV) policy integration scenarios on CO2 emission and energy consumption reductions in 2016, 2026, and 2046. The TOD did not significantly reduce CO2 emissions or energy consumption because it was only applied in one area of the city. The LRT development also had a small effect because of the small proportion of modal shifts to LRT. However, EV utilization offered the greatest potential for reducing both CO2 emissions and energy consumption. In addition, the integrated scenario combining the three policies had a promising effect, diminishing both CO2 emissions and energy consumption, because it gathered the potential merits and benefits of each individual policy.

Assessment and characterization of solid and hazardous waste from inorganic chemical industry: Potential for energy recovery and environmental sustainability

Rapid global urbanization and economic growth have significantly increased solid waste volumes, with hazardous waste posing substantial health and environmental risks. Co-processing strategies for industrial solid and hazardous waste as alternative fuels highlight the importance of integrated waste management for energy and material recovery. This study identifies and characterizes solid and hazardous industrial wastes with high calorific values from various industrial processes at Nirma Industries Limited. Nine types of combustible industrial wastes were analyzed: discarded containers (W1), plastic waste (W2), spent ion exchange resins from RO plants (W3), sludge from effluent treatment in soap plants (W4), glycerine foot from soap plants (W5), rock wool puff material (W6), fiber-reinforced plastic waste (W7), spent activated carbon (W8), and spent cartridges from reverse osmosis plants (W9). Physical characterization, proximate and ultimate analysis, heavy metal concentration evaluation, and thermogravimetric analysis were conducted to assess their properties, revealing high calorific values exceeding 2500 kcal/kg. Notably, W1 and W2 exhibited the highest calorific values (∼10,870 kcal/kg), followed by W6 and W8 (∼6000 kcal/kg) and W9 (∼8727 kcal/kg). Safe heavy metal levels are safe, and high calorific values support the prospects of energy recovery and economic and environmental benefits, reducing landfill reliance and enhancing sustainable waste management.

Food allergy in a changing dietary landscape: A focus on the Asia Pacific region.

Recent studies have provided compelling evidence to suggest that various environmental factors play a significant role in the development of food allergies. As our society experiences rapid economic growth, increased urbanization, and a shift towards a more Westernized diet, the incidence of food allergies is also on the rise and the pattern is gradually evolving. This review will delve into the changes in the epidemiology of food allergies within the Asia-Pacific region and the various dietary practices and factors that are postulated to play a role in the rise in food allergies over the years. Although there have been important advancements in the field of food allergies, there are still numerous uncertainties regarding the intricate relationship between diet and food allergies. Specifically, the role of epigenetic factors in influencing the susceptibility to food allergies, as evidenced by studies that assessed the impact of migration and rural-urban dynamics, is not fully understood. Addressing this knowledge gap presents an opportunity to develop more effective prevention and treatment strategies that could greatly benefit individuals living with food allergies.

The energy mix dilemma in Indonesia in achieving net zero emissions by 2060

Background: The global responsibility to reduce greenhouse gas emissions forces Indonesia to evaluate its energy policies and strategies. The energy mix dilemma in Indonesia arises as a consequence of rapid economic growth, rapid urbanization, and the continuously increasing energy demand. By 2060, Indonesia aims to have an energy mix dominated by renewable energy sources (RES) and to reduce its dependence on fossil fuels. The importance of reducing greenhouse gas emissions is becoming increasingly apparent, considering Indonesia is one of the countries highly vulnerable to climate change. Method: This study employs a combined approach of policy analysis and literature review. The method used in this research is an objective narrative literature review as a reference for conducting the literature study. Findings: In 2023, Indonesia is still heavily reliant on fossil fuels, primarily coal, oil, and natural gas. The Indonesian government has enacted several regulations related to energy use, including policies for the development of renewable energy. Despite efforts to reduce emissions through the application of clean technologies, the main challenge is significantly replacing fossil energy sources with renewable energy. Several inhibiting factors emerge as real challenges in the journey to achieve Net Zero Emissions. Technological and infrastructure constraints are the main obstacles. The strategic importance of sustainable economic growth is a central point in this dilemma. However, the transition to net zero emissions often requires structural adjustments that can impact the economy. Conclusion: The process of transitioning to renewable energy must be carefully implemented to avoid the risk of supply instability. The alignment between economic growth, energy security, and emission reduction is key to designing effective and sustainable policies. Novelty/Originality of this Study: This study provides a comprehensive examination of Indonesia's energy mix dilemma in the context of achieving net zero emissions by 2060, specifically highlighting the intricate balance between sustainable economic growth, energy security, and global climate commitments. By adopting a holistic approach that involves the government, private sector, and societal participation, the research offers innovative policy recommendations for transitioning from non-renewable to renewable energy sources while addressing socio-economic challenges.

In Search of Marginalized Womens Tragedy in Urbanization: A Brief Analysis of Supporting Role Narrative in Li Yus Lost in Beijing

Post-millennium Beijing experienced rapid economic growth as a result of Chinas reform policies, fostering burgeoning urbanization and intensifying materialism and societal stratification. Witnessing this metropolitan backdrop, Chinese auteur Li Yu adopted a documentary style in her cinematic narrative in the feature film Pingguo (Lost in Beijing, 2007), which premiered in the same year. Under the influence of Western feminist filmmakers, Lis notable call for social attention to marginalized female workers in the film demonstrated her distinctive ways of amplifying womens voices in Chinese cinema. Through an intertextual analysis of masseuse Xiao Mei, a "Northern Drifter" who tragically descends into a sexualized worker, this thesis would argue how by portraying the gradual psychic and physical alienation of Xiao Mei under the pressure of urbanization and economic competition, Li condenses the existential and spiritual dilemmas of contemporary underclass women into a supporting figure. While advocating for metropolises like Beijing to consider these "neglected majorities" in their development, this endeavor contributes to the study of productions from the late period of China's reform and opening up, as well as to the examination of contemporary Chinese feminist cinema.

A Hybrid Deep Learning Model to Estimate the Future Electricity Demand of Sustainable Cities

Rapid population growth, economic growth, and technological developments in recent years have led to a significant increase in electricity consumption. Therefore, the estimation of electrical energy demand is crucial for the planning of electricity generation and consumption in cities. This study proposes a hybrid deep learning model that combines convolutional neural network (CNN) and long short-term memory (LSTM) techniques, both of which are deep learning techniques, to estimate electrical load demand. A hybrid deep learning model and LSTM model were applied to a dataset containing hourly electricity consumption and meteorological information of a city in Türkiye from 2017 to 2021. The results were evaluated using mean absolute percent error (MAPE), root mean square error (RMSE), mean absolute error (MAE), and coefficient of determination (R2) metrics. The proposed CNN-LSTM hybrid model was compared to the LSTM model, with lower MAPE, MAE, and RMSE values. Furthermore, the CNN-LSTM model exhibited superior prediction performance with an R2 value of 0.8599 compared to the LSTM model with an R2 value of 0.8086. These results demonstrate the effectiveness of the proposed deep learning model in accurately estimating future electrical load demand to plan electricity generation for sustainable cities.