Major Driver Of Growth Research Articles

Quest to Achieve Blue Growth Via Blue Education: A Differentiated Approach to Serve the Society

The blue economy is considered parallel to the traditional economy and acts as one of the major drivers of growth and development (in the form of blue growth). The world is blessed with a coastline of 1.16 million kilometers, and many are declared maritime nations due to their larger coastal areas. As a driver to boost economic growth, this sector has immense potential; thus, it fastens the blue economy, but outcomes of this sector purely hinge on the relevant human resource (human capital), which acts as a catalyst to the blue growth, hence, generating desired outcomes human capital requires blue education which contributes in the national growth of any economy; the crux of blue growth lies in the blue education. As a maritime nation, Pakistan needs to prioritize this sector by promoting blue education to bring economic prosperity.

Dependency revisited: commodities, commodity-related capital flows and growth models in emerging economies

The growth model perspective has provided avenues for bridging comparative and international political economy, mainly regarding the Global Financial Crisis and developments within the eurozone. This article aims to contribute to this endeavor by highlighting the joint effects of capital flows and commodity price swings on growth models in emerging capitalist economies. While the literature on dependent financialization has primarily focused on debt-led growth in the Global South, we spell out the negative implications of commodity-based export-led growth. To this end, we first present a stylized depiction of commodity dependence and provide descriptive statistical evidence of its global prevalence. Subsequently, we trace the co-movement of capital flows to emerging economies and commodity prices. We argue that this ‘commodity–finance nexus’ reinforces the pro-cyclical nature of commodity-based growth, financial volatility, and the vulnerability to global boom–bust cycles. Furthermore, we demonstrate that the conventional method for establishing growth models by calculating the relative contributions to growth is ill-suited to capture the commodity-based export-led growth model of highly commodity-dependent economies. Finally, we identify commodity price movements and fiscal policies as major drivers of growth, with an important role for domestic politics as an intervening variable.

Understanding the Role of growth Drivers in Agri tech Startup Ecosystem: Experiences and Learning from Indian Cases

"Increased start-up activity is beneficial to agricultural sector in addressing the bottlenecks in agriculture and as well empowering the stakeholders of agri value chain. In India, the start-ups working in the agricultural sector are confronted with two scenarios. One is, they account for only 7.37 % of total startups and the other is, only around 10.05 % are able to progress to scaling stage while more than 50 % are in their early stages of their life-cycle. Thus, the present study aims to understand the key drivers essential for agri start-ups to progress quickly through business life-cycle stages through a multi case study approach. As B2B is emerging as key revenue generating segment of agri tech start-ups, three agri tech start-ups in this segment having similar line of business and with common competition i.e., traditional agricultural markets are considered for the study. The findings indicated that higher education levels, expertise of managerial team and technological innovation are growth drivers through the ideation, validation and early traction stage. Strategic drivers namely vision, market-oriented opportunity switch, networking and market expansion are playing a key role in growth of identified start-ups. The short term and long-term strategic decisions pertaining to these strategic drivers derived out of day-to-day experiences and learning’s are major growth drivers in pushing the start-ups towards growth stage. While business strategies for achieving scalability, gaining investor confidence are vital growth drivers to attain scale-up stage. An improvement in operating revenues and assets derived out of growth factors is reflected in financial progress."

Interactive Websites as Major Drivers of Growth and Innovation in Apparel Retail Industry

Interactive Websites as Major Drivers of Growth and Innovation in Apparel Retail Industry

Distinct impacts of feeding frequency and warming on life history traits affect population fitness in vertebrate ectotherms.

Body size shifts in ectotherms are mostly attributed to the Temperature Size Rule (TSR) stating that warming speeds up initial growth rate but leads to smaller size when food does not limit growth. Investigating the links between temperature, growth, and life history traits is key to understand the adaptive value of TSR, which might be context dependent. In particular, global warming can affect food quantity or quality which is another major driver of growth, fecundity, and survival. However, we have limited information on how temperature and food jointly influence life history traits in vertebrate predators and how changes in different life history traits combine to influence fitness and population demography. We investigate (1) whether TSR is maintained under different food conditions, (2) if food exacerbates or dampens the effects of temperature on growth and life history traits and (3) if food influences the adaptive value of TSR. We combine experiments on the medaka with Integral Projection Models to scale from life history traits to fitness consequences. Our results confirm that warming triggers a higher initial growth rate and a lower adult size, reduces generation time and increases mean fitness. A lower level of food exacerbates the effects of warming on growth trajectories. Although lower feeding frequency increased survival and decreased fecundity, it did not influence the effects of warming on fish development rates, fecundity, and survival. In contrast, feeding frequency influenced the adaptive value of TSR, as, under intermittent feeding, generation time decreased faster with warming and the increase in growth rate with warming was weaker compared to continuously fed fish. These results are of importance in the context of global warming as resources are expected to change with increasing temperatures but, surprisingly, our results suggest that feeding frequency have a lower impact on fitness at high temperature.

Impact of diarrhoea and acute respiratory infection on environmental enteric dysfunction and growth of malnourished children in Pakistan: a longitudinal cohort study.

Diarrhoea and acute respiratory infections (ARI) are assumed to be major drivers of growth and likely contribute to environmental enteric dysfunction (EED), which is a precursor to childhood malnutrition. In the present study, we checked the correlation between diarrhoeal/ARI burden and EED using a novel duodenal histological index. Between November 2017 and July 2019, a total of 365 infants with weight-for-height Z scores (WHZ score) of <-2 were enrolled, and 51 infants with WHZ scores of >0 and height-for-age Z scores (HAZ scores) of >-1 were selected as age-matched healthy controls. Morbidity was assessed weekly and categorised as the total number of days with diarrhoea and acute respiratory infection (ARI) from enrolment until two years of age and was further divided into four quartiles in ascending order. The HAZ declined until two years of age regardless of morbidity burden, and WHZ and weight-for-age Z scores (WAZ scores) were at their lowest at six months. Sixty-three subjects who had a WHZ score <-2 and failed to respond to nutritional and educational interventions were further selected at 15 months to investigate their EED histological scores with endoscopy further. EED histological scores of the subjects were higher with increasing diarrhoeal frequency yet remained statistically insignificant (p=0.810). There was not a clear correlation between diarrhoea and ARI frequency with growth faltering, however, children with the highest frequency of diarrhoea had the highest EED histological scores and growth faltering. Bill and Melinda Gates Foundation and The National Institutes of Health.

Machine-Learning-Based Electric Power Forecasting

The regional demand for electric power is influenced by a variety of factors, such as fluctuations in business cycles, dynamic linkages among regional development, and climate change. The valid quantification of the impacts of these factors on the demand for electric power poses significant challenges. Existing methods often fall short of capturing the inherent complexities. This paper addresses these limitations by proposing a framework, which integrates machine-learning techniques into regional electricity demand forecasting. Regional electricity generation firms could then leverage the power of machine learning and improve the accuracy and robustness of electric power forecasting. In this paper, we conduct extensive numerical experiments using an actual dataset from a large utility firm and other public data sources. The analysis indicates that the support vector regression model (the SVR model) has high accuracy in predicting the demand. The results show that socio-economic development is the major driver of growth in electricity demand, while weather variability is a key contributor to the seasonal fluctuations in electricity use. Furthermore, linkages among regional development and the status of development of the green economy become increasingly important influencing factors. The proposed forecasting approach helps the regional electricity generation firms reduce a large amount of carbon dioxide emissions.

The Digital Leadership on Project Management in the Emerging Digital Era

Digital leadership plays an important role in steering organizations toward growth. With the current and changing technological advancements in the business world, organizations are turning towards projects as the major driver of growth and development. Project managers are expected to have the desired level of digital leadership quality to benefit the organization. Managers are expected to use their teams, by example, instill collaboration, have a global vision of growth, be resourceful in matters concerning technology, and are ready to sustain their organizations during these disruptive times. This study aims to determine how different organizations have benefitted from digital leadership in terms of efficiency in project management. The study uses qualitative data from both primary interview sources and secondary sources such as past literature and growth records of the selected organizations. The study found that digital leadership impacted project management positively. However, digital leaders with different levels of desired attributes had different results, with those bearing transactional and transformational traits as the most successful ones. However, digital leaders faced challenges as their organizations aimed to survive through strong competition.

A Study on Major Issues Faced by the Consumers in Buying Organic Food Products in Salem District of Tamil Nadu

The consumption of food pattern of consumer’s is changing rapidly due to rising awareness about health, higher disposable income and increasing number of modern retail outlets across the country are the major growth drivers for the organic food markets. A better quality and healthy lifestyle have become a kind of necessity to the current generation. Consumers are become more concerned about the food safety. They tend to consume foods that are nutritious, healthy, safety, and the environmental friendly. Organic products are grown under organic manure without the use of chemical fertilizers and pesticides. The organic farming method works at grass root level preserving the reproductive and regenerative capacity of the soil, good plant nutrition, and sound soil management practices and produces healthy nutritious food rich in vitality which has resistance to diseases. The consumers also face some problems on buying organic food products. The study focuses on the major issue on buying organic food products.

Indian real estate in the post-COVID-19 era

COVID-19 forced upon the world an unprecedented number of transformative changes that not only posed significant challenges, but also brought with it opportunities for business. However, India’s real estate sector had already been through its own transformative phase in the years leading up to 2019, with three major policy interruptions — demonetisation (2016), introduction of the Goods and Services Tax (2017) and real estate regulatory authority (2016). After the initial shocks, Indian real estate had begun to rebound, and it was widely expected that this would continue into 2020. But with the advent of COVID-19, real estate was widely expected go into a slump. Today, as we see things in hindsight, COVID-19 has accelerated some of the medium-term transformations that were largely expected to bring Indian real estate level with global best practices. A sustained revenue growth of India’s largest occupier segment — the IT-BPM sector — helped office gross leasing levels in 2020 and 2021 (forecast) stand similar to the average levels clocked in last six years (2014–19). Total workplace ecosystem is a now a more critical factor for occupiers than office rentals and building quality. Testimony to that effect is the higher number of managed spaces (offered by co-working) in 2020 and 2021. In the retail sector, experiential retail is now seen as a major driver of growth for retailers, rather than merely securing a physical store presence. The predominantly unorganised industrial spaces are paving way for stronger demand coming for operators in the organised sector. Data centres are fast emerging, driven by the digitalisation and data localisation. These growth opportunities have naturally attracted attention from institutional investors in the real estate sector. Recent successes by maiden REIT listings in India provide impetus to investors. This paper aims to highlight these sector-by-sector understanding of the transformational forces underway in the Indian commercial real estate, and it appears unfazed by the on-going uncertainty around COVID-19.

Managing Risks, Challenges and Opportunities in MSMEs to Build a Self-Resilient India

MSME sector has come up as the major growth driver of the Indian economy, contributing nearly 40 percent of the nation’s GDP and creating employment opportunities. The study encompasses understanding about the sector’s functioning procedure, Government policies and recent developments, risks and challenges faced by the sector, major Government schemes initiated for the sector and opportunities ahead to enhance the MSME performance in India. However, the envisaged future growth in MSME sector requires adequate hassle-free financial support, induction of skilled work force, infrastructural assistance, ease of statutory compliance for faster processing of loans and credits and other amenities.

Growth responses of Pinus sylvestris L. to climate from the southeastern limit of its natural distribution area, Turkey

Pinus sylvestris, the most widely distributed pine species, is commonly used in dendrochronological studies. Based on a lack of studies at its southeastern distribution, we analysed the growth responses of P. sylvestris to temperature and precipitation. We selected 13 sites to study the effects of climate on the growth of Scots pine stands throughout a geographic gradient over time. Trees were sampled from pure stands at different elevations and landscape conditions. The linear and non-linear associations between tree-ring widths and climate variables were calculated with locally specific linear correlation analysis and a mixed generalised additive model. Moving window correlation function was also performed to understand the temporal stability of limiting factors on growth from 1930 to 2013. Our findings showed that early spring temperature (March-April) and late spring-early summer precipitation (May-June) are the major drivers of growth at all sites, where high temperature constraints and high precipitation enhances the growth. Moving window correlation analysis highlighted that the response to precipitation was stationary while temperature changed over time. Our non-linear analysis provided a threshold for March-April temperature. The threshold indicates that the relative additional increment sharply increases up to 7 °C and then slightly decreases.

Future growth pattern projections under shared socioeconomic pathways: a municipal city bottom-up aggregated study based on a localised scenario and population projections for China

Precise multi-scenario projections of future economic outputs based on localised interpretations of global scenarios and major growth drivers are important for understanding long-term economic changes. However, few studies have focussed on localised interpretations, and many assume regional uniformity or use key parameters that are recursive or extrapolated by mathematical methods. This study provides a more intuitive and robust economic framework for projecting regional economic growth based on a neoclassical economic model and shared socioeconomic pathways (SSPs) scenarios. A non-uniform version of SSP2 (the middle-of-the-road scenario) was developed, and more detailed population projections for China were adopted using municipal-level data for 340 districts and parameter settings based on China’s recent development. The results show that China’s GDP will vary substantially across SSPs by 2050. Per capita GDP ranges from 19,300 USD under SSP3 (fragmentation) to 41,100 USD under SSP5 (conventional development). Per capita GDP under SSP1 (sustainability) is slightly higher than under SSP2, but lower on average than under SSP5. However, SSP1 is a better choice overall because environmental quality and equity are higher. Per capita GDP growth will generally be higher in relatively low-income regions by 2050, and the upper-middle-income provinces will become China’s new engine for economic growth.

Scenarios of future Indian electricity demand accounting for space cooling and electric vehicle adoption

India is expected to witness rapid growth in electricity use over the next two decades. Here, we introduce a custom regression model to project electricity consumption in India over the coming decades, which includes a bottom-up estimate of electricity consumption for two major growth drivers, air conditioning, and vehicle electrification. The model projections are available at a customizable level of spatial aggregation at an hourly temporal resolution, which makes them useful as inputs to long-term electricity infrastructure planning studies. The approach is used to develop electricity consumption data sets spanning various technology adoption and growth scenarios up to the year 2050 in five-year increments. The aim of the data is to provide a range of scenarios for India’s demand growth given new technology adoption. With long-term hourly demand projections serving as an essential input for electricity infrastructure modeling, this data publication enables further work on energy efficiency, generation, and transmission expansion planning for a fast-growing and increasingly important region from a global climate mitigation perspective.

Exploring the links between total factor productivity and energy efficiency: Portugal, 1960–2014

A good understanding of the sources of economic growth is fundamental. Total factor productivity (TFP) – frequently taken as synonymous of technical change but computed as a residual – is credited as a major driver of growth. Despite considerable efforts, the sources of TFP growth are still poorly understood. As all economic processes necessarily entail the conversion of energy, aggregate energy (conversion) efficiency is a plausible candidate to measure technical change. Here, we test the hypothesis that there is a statistically significant long-term relationship between TFP and aggregate energy efficiency (measured as final-to-useful aggregate exergy efficiency), for Portugal, 1960–2014. Our results strongly suggest that these variables are cointegrated, with unit elasticity between technical change and energy efficiency. This link is stronger when TFP is computed considering the more theoretically correct capital services and schooling-corrected labour measures. Since we also find that aggregate energy efficiency Granger-causes TFP, we can legitimately claim that the former is the main driver of economic growth. As thermodynamic laws impose that aggregate energy efficiency is upper bounded at 100%, our findings also suggest there are thermodynamic limits on growth. This carries implications for models currently used to inform policymakers on economic growth, sustainable development, and climate change scenarios.

Recovery of Undenatured Collagen Type II from Different Prototypes of Food and Beverages Using Enzyme-Linked Immunosorbent Assay (ELISA)

Abstract Objectives According to a new report in 2020, the global functional food market size is projected to reach USD 275.77 billion by 2025 at a CAGR of 7.9%. One of the major growth drivers for this includes increasing demand for nutritional and fortifying food additives. Undenatured type II collagen (UC-II®) is a dietary ingredient derived from chicken sternum and has been shown to improve joint health. The development of undenatured type II collagen in different food and beverage (F&amp;B) products is gaining momentum. The objective of this study was to assess the compatibility and recovery of undenatured type II collagen from different prototypes of F&amp;B. Methods A specific ELISA test that detects the presence of native type II collagen was used to measure undenatured type II collagen content. Results Results showed the recovery of undenatured type II collagen from the F&amp;B matrices varied depending on the pH, pressure, humidity and processing temperature. Highest recovery was seen from F&amp;B prototype of nutritional bars (∼100%), chews (98%), gummies (96%), and dairy beverage (81%). Conclusions In summary, the results from this study shows that UC-II® is able to withstand the processing conditions used for manufacturing F&amp;B products. The applicability of this findings will allow UC-II® to be incorporated into different functional foods thereby helping the consumers to improve their joint mobility, flexibility and comfort. Funding Sources Lonza Consumer Health Ingredients Inc.

An Comparative Study of Pre and Post Health Insurance Schemes in Karnataka

The health insurance schemes are very necessary to everyone in Indian country are with regards improve their life styles and which is including for very essential for every one for improving their health and some of strategies to improve the own insurance companies potential even insurance companies are majorly help to the employees their health and family members. Insurance Corporation is a sector of Health Insurance that has emerged as a major growth driver and as the most prominent segment in the expansion of insurance space. The study highlighted that health insurance and health insurance schemes are one of the largest Social Security Schemes of the world where no upper limit on medical expenditure has been fixed for beneficiaries. The study was made on the overview of health insurance Corporation of India and tries to bring out the banking details of provisions available to customer and persons and their dependents both in and banking facilities under the Employees of Karnataka state.

Global Cyber Security Research Output (1998–2019): A Scientometric Analysis

ABSTRACT The main aim of this paper is to analyze the global cyber security literature and to discover underlying trends and developments at the global, national, institutional, and individual level using bibliometric indicators. The publications and citations data for the study were sourced from the SCOPUS database published during 1998–2019. Over this period of 22 years, cyber security research registered a 46.41% growth with an average citation impact of 5.05 citations per paper. Nearly 15% of the total papers were funded by external agencies. The top 10 countries alone accounted for the bulk (76.52%) of output in the subject. The United States leads this list with the highest publication productivity (43.75% of global output). Canada leads the world in terms of relative citation index (1.47). International collaboration has been a major driver of growth in cyber security research. The paper lists most productive organizations, authors, and journals.

Technology-driven growth and inclusive growth- implications for sustainable development in Africa

The 21st century industrial and digital age has been largely driven by technological dynamics and advancement. The Neo-classical argued that beyond the classical notion of investments and capital accumulation, technology growth, which is driven by innovation and development is a major driver for growth and development. Africa economies, which has been largely described as technologically dependent, has over the years through technological diffusion engaged modern processes in driving its economic activities, which has informed economic and even social outcomes. Therefore, using the generalised methods of moments for selected sub-Saharan African economies, this study intends to assess the extent to which the presence of technology has informed economic activities in Africa as well as its impact in addressing developmental issues of poverty and unemployment. Also, given the current drive towards sustainability, this study takes the neo-classical growth theory a step higher by examining the modulating effects of technology-driven growth (through mobile densities and ICTs) in setting the pace for sustainable development in Africa. The study shows that the expected long-run impact of a technology-induced growth in reshaping developmental outcomes is seen from the estimates.

Structural Decomposition Analysis to Investigate the Changes in Energy Consumption in Pakistan

The world energy demand is increasing due to rapid growth in the global economy, industrialization, and urbanization. Pakistan is also confronted with increasing energy demand on one hand and is confronted with the challenge of energy demand-supply gap on the other hand. Since energy is the major driver for growth, it becomes important to investigate the trends of energy consumption in a country and the factors that are most affecting the changes in the use of energy. This particular study aims to investigate the use of energy by all the economic sectors of Pakistan during 2000–2012. The major contribution is the first time application of structural decomposition analysis (SDA) for energy usage along with using Input-Output data for the period of 2002–2012. The results show the fluctuation of the energy intensity of the sectors throughout the study period. Also, the overall effect of energy intensity is negative on energy consumption and it shows a negative contribution value of −80.90% for the study period. Furthermore, the focus on more energy-intensive products like cement, automobiles, iron, steel products and the increasing final demand of the economy contributes to the growth of energy consumption in Pakistan during 2000–2012.