Economic Growth In India Research Articles

Role of Artificial Intelligence in Crop Protection

In the era of 21st century, agriculture is facing many challenges now-a-days to feed the world population. The population growth is increasing day by day and it expected to cross 10 billion by 2050. Agriculture farming plays significant role in growth of Indian economy. India stands second in farm production all over the world. After the green revolution, India face production loss with an estimate of US$ 36 billion. The agriculture production decreases mainly because of insect pests, diseases and weeds in important agricultural crops. Hence, there is a need of transition in farming system to adopt advanced and innovative technologies for more and sustainable production. In recent years Artificial intelligence gained popularity in agriculture and provides solutions in several areas like big data analysis, pest and disease forewarning models, mobile applications in IPM, Information and ICT based crop-advisory system, insect detection, pest and disease identification, etc. In the proposed paper, AI based applications discussed in detail to provide insights into innovative technologies and pave the way for knowledge dissemination and adoption of AI based technologies for more effective crop production and protection.

A PVAR dynamic correlation appraisal of China’s carbon emissions in conjunction with economic growth and clean energy use

This study aims to explore the dynamic relationship among economic growth, clean energy, and carbon dioxide (CO2) emissions in China. The indicators of economic growth, clean energy, CO2 emissions, fixed assets investment, and research and development intensity of 30 provinces and municipalities for the period of 2005–2019 in China have been investigated by Panel Vector Autoregression model (PVAR). To further explore regional differences, three types of regions were classified by K-means cluster analysis. The results show that clean energy has a positive impact on economic growth in China; Clean energy reduces CO2 emissions in Region II while others do not; Both fixed assets investment and research and development promote clean energy development; The dynamic relationship between the 5 indicators varies across regions. Various regions in China should combine their development characteristics and location advantages, increase capital investment and research and development input in clean energy, strengthen environmental regulations, and improve the energy consumption structure.

Fiscal Discipline and Its Relationship with Economic Growth in India: Evidence-based Policy Analysis

This study attempts to make an empirical analysis to evaluate the procedural progress of India in terms of public policy parameters. The study constructs a composite Fiscal Performance Index (FPI) for the period 1990–2018. The reported values show that the FPI has been significantly increasing over the last two-three decades. However, it is clearly evident that the fiscal discipline was slightly poor during the period 1998–1999 to 2003–2004. Since 2003–2004, there has been a consistent increasing trend in the fiscal discipline till 2007–2008 global financial crisis. The constructed index was further utilised to establish its relation with economic growth. The causal relationship from FPI to GDP growth is evident in the long run. The study suggests that, as a federal nation, the Central government should encourage governments at all levels to promote fiscal discipline by formulating macroeconomic policies in line with the Fiscal Responsibility and Budget Management Act, 2003.

Impact of technological change on growth trajectory of India: a multivariate-BVAR analysis

ABSTRACT This paper examines the impact of technological change on Indian economic growth using the Bayesian Vector Auto-Regressive (BVAR) methodology. We use a comprehensive annual time series dataset covering the period of 1980 to 2019 on real economic activity, gross fixed capital formation, and employment. Technological innovation is measured by the number of patents filed by resident Indians. Technological innovation positively impacts both economic growth and gross fixed capital formation. Our findings indicate that increasing the number of patents leads to higher investment, which drives India's economic growth. However, our results also point towards the possible negative influence of technological innovation on the aggregate employment scenario in India. Our main findings are robust to alternative identification strategies and variable transformation. The asymmetric analysis also corroborates the positive influence of patents on driving investment and economic growth in India.

Relational Inequality and Economic Outcomes: A Consideration of the Indian Experience

ABSTRACT The study of inequality by economists has largely focussed on distributive inequalities of various kinds. The focus on different dimensions of distributive inequality in access and outcomes is welcome. However, it is also important to consider relational inequalities and power imbalances, which economists typically consider to be the domain of sociology, anthropology and related disciplines. Many economic processes cannot be understood without analysing the underlying relational inequalities, which can reveal much about economic processes and associated policies. Some examples from the Indian experience, specifically relating to power imbalances created by gender and caste differentiation, indicate how this can play out. These are not simply ‘traditional social forms’ that are in opposition to or contradictory with capitalist accumulation. Rather, they are crucial in enabling segmented labour markets and enabling extractivist patterns of accumulation, on which recent Indian economic growth has been dependent.

To the question of the impact of public procurement on economic growth indicators. Commentary on the article by D.V. Berdnikov and O.Yu. Kirillova "Analysis of the impact of public procurement indicators on the achievement of public policy goals"

To the question of the impact of public procurement on economic growth indicators. Commentary on the article by D.V. Berdnikov and O.Yu. Kirillova "Analysis of the impact of public procurement indicators on the achievement of public policy goals"

Role of GDP in the Sustainable Growth Era

While there is a correlation between economic growth and the increase in living standards, economic theory is evident in the purpose of the Gross Domestic Product (GDP) measurement. GDP measures only the production capacity and economic growth, not the nation’s development, as often claimed by policymakers. Furthermore, as several studies show, by focusing on economic growth and neglecting the other two crucial systems, the ecosystem, and the social system, we will not be able to achieve economic growth in the future. Since the GDP was developed in 1937, it has faced criticism not only for its limitation related to its construction. Also, the concept of economic growth is currently being challenged and being replaced by the pursuit of sustainable development. Therefore, the role of GDP, as an economic growth indicator, in our economy needs to be clarified and re-assessed. The main aim of this paper is to investigate the usefulness of the GDP in the era of sustainable development. To achieve this, we investigated the historical development of various measures of economic growth, as well as the historical development of the GDP as an economic growth metric. Furthermore, we argue that the future of GDP should be in the multi-dimensional indicators, which are used to measure the sustainable development of a country, as opposed to a self-standing single-dimensional measure of economic growth. As a case study, we also construct two measures, based on Analytical Hierarchical Process (AHP) using the free online software ‘SuperDecisions: our Simple three-dimensional index of the nation’s growth and the enhanced holistic three-dimensional index – Holistic Nation’s Growth Index. Using the AHP method, we showcase the difference between the countries’ rankings if we consider only economic growth and if we focus on the country’s development more holistically. Our comparative study reveals that it is not enough to look only at three main systems, the economic, social, and ecosystem while assessing the countries’ development. It is necessary to also investigate and try to capture the relationships between those three main systems.

Analysis of Exchange Rate, Inflation and BI Rate on Return of Syari'ah Share

This study aims to analyze the exchange rate, inflation and BI rate on stock returns, as well as know developments about the Jakarta Islamic index. Changes in market behaviour make people pay more attention to the company's financial performance factors and macroeconomic factors that affect stocks. The stock return is also influenced by the market index and macro factors, namely; inflation, interest rates, exchange rate, BI rate and economic growth. Investment in Islam is a recommended activity because by investing in assets that are owned it becomes productive and also brings benefits to other people. The Islamic capital market is an indicator of a country's economic growth, as an alternative for individuals to invest. This study used quantitative methods with secondary data sources. The population used in this study is all time series data (time series data) contained in the Jakarta Islamic Stock Index (JII). 11 companies met the criteria and were selected as the research sample. Data collection was carried out using literature and documentation. The data analysis technique used is descriptive statistical analysis. The results obtained from this study indicate that: 1) the exchange rate variable has a significant and significant effect on stock returns with a p-value (Sig) <0.05, namely 0.000 <0.05, then Ha is accepted and Ho is rejected. 2) The inflation variable has a significant and significant effect on people's income with a p-value (Sig) <0.05, namely 0.001 <0.05, then Ha is accepted and Ho is rejected. 3) The BI rate variable has a significant effect on people's income with a p-value (Sig) <0.05, namely 0.045 <0.05, so Ha is accepted and Ho is rejected. 4) Exchange Rate, Inflation and BI Rate variables have a significant and significant effect on people's income with a Fcount value of 6.250 > Ftable 3.172 (df = 55 – 2) with a probability value or sig. = 0.001 <0.05 means that Ha is accepted and Ho is rejected.

The Impact of Economic Growth and Urbanisation on Environmental Degradation in the Baltic States: An Extended Kaya Identity

The main aim of this article is to empirically examine the impact of economic growth and urbanisation on environmental degradation, as well as the existence of the environmental Kuznets curve (EKC) in three Baltic States (Lithuania, Latvia, and Estonia) from 2000 to 2020. The main Kaya identity and the extended urban Kaya identity models are applied within the analysis. The multiple regression analysis made it possible to assess the influence of urbanisation and other factors on greenhouse gas (GHG) emissions in the studied countries, as well as test the hypothesis of the inverted U-shaped EKC. The main finding reveals that GDP per capita growth has the largest and increasing effect on GHG emissions in all three countries. It was also found that changes in population in urban areas in Lithuania and Latvia reduced the amount of GHG until 2020, while in Estonia, the growing urban population greatly contributed to increasing GHG emissions. As a result, processes related to urbanisation have not yet had a significant impact on environmental quality in Lithuania and Latvia. Meanwhile, in Estonia, this is a significant factor that policymakers need to focus on when solving environmental pollution reduction problems. The hypothesis of the EKC was mostly supported when analysing GHG emissions in Lithuania and Estonia and using GDP per capita as an indicator for economic growth. On the other hand, it was found that the impact of the urbanisation rate on GHG emissions is not curved, yet there is some evidence that in Estonia, a growing urbanisation rate is related to diminishing GHG emissions, according to the multiple regression analysis. The results of the study showed that policymakers should consider economic growth and, especially in Estonia, urbanisation when solving problems related to environmental degradation.

Trends and Encounters of Digital Banking in India

Various sectors are critical to the growth of every country's economy. The banking industry is the most significant part of Indian economic growth. The banking industry has evolved into the backbone of the Indian economy. Any advances in technology or other characteristics have a direct influence on economic growth. Various developments occur in the banking business as technology evolves. Customers are becoming more educated. They do not want to wait in line for numerous tasks such as making payments, depositing checks, opening bank accounts, depositing checks, and so on. With the passage of time, digital banking has emerged as a shining star in the financial industry. Today's generation readily accepts the notion of digital banking, and it has quickly become a more popular means of transaction in the market. We examine the topic of digital banking in this study. What impact it has on human lives. The study relies on secondary data. The notion of digital banking in the financial business opens up a plethora of options. However, with every gain comes some danger. Furthermore, there are various risks associated with digital banking.

How does digital finance affect sustainable economic growth? Evidence from China.

Digital finance is an innovative financial model of great significance for sustainable economic growth. By constructing indicators of sustainable economic growth, we explore the impact of digital finance on sustainable economic growth using the fixed effect model, mediating effect model, threshold regression model, and dynamic spatial Dubin model. The study finds that digital finance can drive sustainable economic growth, and the robustness and endogenous treatment results strongly verify this. Digital finance promotes sustainable growth mainly through technological innovation. In addition, with technological innovation and the development of renewable energy, there is a significant nonlinear relationship between digital finance and sustainable economic growth. Finally, the spatial spillover effect results show that digital finance's impact on sustainable economic growth has a positive effect, whether it is a direct effect or an indirect effect. This article provides possible ideas for digital finance to promote sustainable economic growth.

Nexus Between Indian Economic Growth and Remittance Inflows: A Non-linear ARDL Approach

Nexus Between Indian Economic Growth and Remittance Inflows: A Non-linear ARDL Approach

Effects of economic factors on median list and selling prices in the U.S. housing market

This study investigates the effects of key economic factors on the median list price and median selling price in the U.S. housing market. Key economic factors such as interest rates, unemployment rates, inflation rates, real gross domestic product, money supply, mortgage rate, Standard & Poor’s (S&P) 500, and government expenditure are investigated to understand their relationships with housing prices. Conventional econometric models are typically used for housing market analysis; however, advancements in data science and machine learning allow these relationships to be examined more accurately. This study employs a decision tree regressor, k-nearest neighbors, random forest, and gradient boosting to enhance analysis accuracy and feature selection, thus enriching literature pertaining to machine learning in the housing market domain. The significance of housing market data as an indicator of economic growth is emphasized, and its effect on the overall economy, consumer spending, investment patterns, and financial stability is discussed. By utilizing a robust dataset and performing rigorous preprocessing, this study aims to provide valuable insights for policymakers, investors, and individuals involved in the housing sector.

Efficiency ranking of economic growth toward sustainable growth with grey system theory: the case of small countries in advanced and emerging economies

Abstract The article refers to the new Synthetic Efficiency Indicator for Economic Growth (SEI-EG) proposed in an earlier publication. Research from 2016–2018 in 11 EU countries revealed small nations were notably more effective at sustainable growth than their larger counterparts. This prompted the authors to ask about the differences between small countries with developed economies and small countries with lower levels of development joining the EU in 2004. The article aims to determine the relative efficiency of transforming growth inputs and debt into sustainability outcomes for small countries in the EU using the SEI-EG index over the period 2016–2020. The study group symmetrically includes six countries each from developed economies and six countries that joined the EU in 2004. The adopted indicator complements the expanded SDGs and aligns with the trend linking research inputs to sustainable development effects.

Enerji Tüketiminin Ekonomik Büyüme Üzerindeki Etkileri: Frekans Alanda Nedensellik Analizi

One of the most important indicators of the production channels of developed and developing countries is undoubtedly the energy problem. In addition, the nexus between economic growth and energy use differs from country to country. The main purpose of this article is to examine the nexus between economic growth and energy consumption in Turkey in the period of 2016 and 2022. Daily electricity consumption is used as an indicator of energy consumption, and industrial production index data is used as an indicator of economic growth. Toda-Yamamoto (1995) and Breitung-Candelon (2006) frequency domain tests were used to determine for the causality. According to the outcomes of the Toda-Yamamoto causality test, a unidirectional causality relationship was found from economic growth to energy consumption in the long run. Breitung- Candelon frequency domain causality test results revealed a short (temporary) and long (permanent) relationship from economic growth to energy consumption. In Türkiye, increases in economic growth (expansion of the production channel), increase the energy need more and thus this situation increases import dependency.

Human Capital and Economic Growth in India: The ARDL Approach

We used time series data on variables, real GDP, physical capital stock and human capital index of India to examine the relationship between these three variables oyer the period 1972-2019. The auto-regressive distributed lag (ARDL) model and the bound test of co-integration reveal that physical capital stock, human capital index and GDP are co-integrated only when GDP is used as the dependent variable. Moreover, the negative and statistically significant value of the coefficient of adjustment in the error correction model further reinforces that there is a long-run relationship between these variables. This long-run relationship also reveals that both physical capital stock and the human capital index positively impact GDP growth in India. Growth in the human capital index is not found to be dependent on either GDP or physical capital stock. Since the human capital index is constructed based on years of schooling and returns to education, we infer from it that education stimulates economic growth in India. Hence, India has reaped the benefits in the form of economic growth by adopting the policy of free and compulsory education for its populace.

Exploring the Impact of COVID-19 on India’s Foreign Trade

This research paper will explore the impact of the COVID-19 pandemic on India’s foreign trade. The study will analyze the impact of the pandemic on the trade in goods and services in India. The study will also explore the policy implications of the pandemic on India’s trade. Data from the Ministry of Commerce and Industry, Reserve Bank of India, World Bank, and other sources will be used to measure the impact of the pandemic on India’s foreign trade. The study will also analyze the impact of the pandemic on India’s export and import partners. The paper will provide an overview of the current trends in India’s foreign trade and discuss the potential policy options to mitigate the impact of the pandemic. The study will also assess the potential effects of the pandemic on India’s economic growth and development. Finally, the paper will conclude by providing policy recommendations to ensure sustained economic growth in India.

The Role of Infrastructure on Economic Growth in West Sumatra Province

This study aims to determine the length of roads and the amount of electricity sold partially and simultaneously against economic growth in West Sumatra province for the 2012-2021 period. This type of research is quantitative research. The data consists of road length, the amount of electricity sold as infrastructure variables and economic growth. This study uses multiple regression to analyze the impact of infrastructure indicators (consisting of road length and amount of electricity sold) on economic growth. The findings revealed that, while the amount of electricity sold had a significant impact on economic growth, the length of the road had a partial insignificant impact with a regression coefficient value of 0.632 and a significant level of 0.333 > 0.05 and the length of the road did not, with a regression coefficient value of 2.012 and a significant level of 0.020 > 0.05. Simultaneously, the variable length of the road and the amount of electricity sold affect economic growth with a significant level of 0.011< 0.05. The contribution of variable road length and the amount of electricity sold is 77.60% to economic growth while the remaining 22.40% is influenced by other factors not examined in this study. This research is expected to contribute to the government, especially in the field of Urban and Regional Planning. The result of this study is that electricity infrastructure indicators have a significant effect on economic growth indicators.

A Role of Artificial Intelligence in the Context of Economy: Bibliometric Analysis and Systematic Literature Review

This bibliometric analysis aims to explore and assess the multifaceted impact of technology on the economy through a comprehensive review of academic literature. By systematically examining a wide range of research articles, this study intends to provide insights into the various ways in which technology influences economic growth, productivity, innovation, and other key indicators. The analysis will identify trends, influential authors, and prominent journals in the field, shedding light on the evolving relationship between technology and the economy. The paper might highlight a gap in research on how AI is being adopted and leveraged in developing economies. The actual research gaps addressed in the paper will depend on the findings of their systematic literature review and bibliometric analysis. The significance of this paper reflects a recognition that AI has become a driving force behind innovation, productivity improvements, and competitive advantage across industries. The main objective of this research is to use bibliometric analysis to investigate the publication output about artificial intelligence, using data sourced from the Scopus database, to contribute to economic improvement. The data has been gathered using specified terms, including "artificial intelligence, technologies," and "economy," with a focus on the fields of business management, accounting, and computer sciences. The bibliometric analysis included the use of Scopus to gather data, using VOSviewer, Rstudio, and Excel as analytical tools. The data collection spanned from 2016 to 2023. The primary aims of this work are doing a comprehensive bibliometric analysis, examining the co-citation structure, analyzing keyword co-occurrence, and conducting a geographical analysis within the domain of artificial intelligence and economics. The research yields findings about the implications of publishing in the field of artificial intelligence and its impact on business, management, accounting, and computer science from an academic standpoint. This article aims to assist scholars and business experts seeking to construct contemporary company structures, serving as a valuable resource for future endeavors in this field.

Tourism Development Effectiveness in Enhancing Wellbeing in Developing Countries: A Reality or Myth

ABSTRACT This research examines tourism development’s effectiveness in improving well-being by contextualizing economic growth, political stability, and population growth in developing South Asian economies. We applied panel econometric techniques (including PMG-ARDL estimation) to derive useful knowledge from the dataset. The findings reveal that tourism development impacts different countries’ well-being by contextualizing their economic, population growth, and political situations. Tourism development positively influences well-being and economic growth indicators at the regional level. Besides, population growth and political stability also positively contribute to well-being in South Asia. The cross-sectional country-level findings indicate that tourism development improves well-being in all the selected countries; however, economic growth only positively influences well-being in Pakistan, India, Sri Lanka, and Maldives. The Granger causality runs from tourism development to economic growth and well-being, discovering the tourism-led economic growth-led well-being hypothesis. The cross-sectional country-level findings indicate that political unrest worsens well-being in all the selected countries; however, population growth only negatively impacts Pakistan and Sri Lanka. Political stability Granger cause tourism development; thus, we argue that political stability enhances tourism development leading to economic growth and promoting well-being. Theoretical and practical policy implications are provided.