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        <rdf:li rdf:resource="http://dspace.dtu.ac.in:8080/jspui/handle/repository/23049" />
        <rdf:li rdf:resource="http://dspace.dtu.ac.in:8080/jspui/handle/repository/23044" />
        <rdf:li rdf:resource="http://dspace.dtu.ac.in:8080/jspui/handle/repository/23027" />
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    <dc:date>2026-07-25T12:55:56Z</dc:date>
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  <item rdf:about="http://dspace.dtu.ac.in:8080/jspui/handle/repository/23049">
    <title>THE MODERATING ROLE OF HUMAN CAPITAL ON THE RELATIONSHIP BETWEEN GLOBALIZATION AND GREEN TECHNOLOGY ADOPTION IN EMERGING ECONOMIES</title>
    <link>http://dspace.dtu.ac.in:8080/jspui/handle/repository/23049</link>
    <description>Title: THE MODERATING ROLE OF HUMAN CAPITAL ON THE RELATIONSHIP BETWEEN GLOBALIZATION AND GREEN TECHNOLOGY ADOPTION IN EMERGING ECONOMIES
Authors: NAYYAR, GULEENA; Kumar, Virender (SUPERVISOR)
Abstract: Shifting to clean or green energy technologies is important for emerging economies &#xD;
that aim to separate economic growth from environmental harm. Existing research has &#xD;
already proved that globalization channels—such as economic, social, trade, and &#xD;
financial globalization—have promoted the adoption of green technology. However, a &#xD;
significant gap remains in understanding how a country’s internal human capital &#xD;
influences this international spillover. We used 22 years of yearly data from 25 &#xD;
emerging economies from 2000 to 2021. This paper explores  whether local human &#xD;
capital influences the way dimensions of globalization impact the adoption of green &#xD;
technology across emerging economies using a two-step System GMM methodology &#xD;
. &#xD;
The empirical evidence suggests that in the case of economic, social, and trade &#xD;
globalization, they cannot solely impact the adoption of green technology across &#xD;
emerging economies. Conversely, their interaction with local human capital has a &#xD;
robust and significant impact on technology adoption. Among all the dimensions, only &#xD;
financial globalization independently facilitates the adoption of clean energy. &#xD;
Simultaneously, leveraging human capital significantly enhances the link between &#xD;
globalization and green technology, nearly doubling the adoption rate. These findings &#xD;
imply that, without skilled technicians and engineers, imported technologies may be &#xD;
underused or remain unused in warehouses. This highlights that the advantages of &#xD;
green technology transfer heavily rely on having a skilled workforce to implement the &#xD;
transition. To this finding, we propose some policy recommendations for governments &#xD;
in emerging economies: They should step away from the idea of trade liberalization &#xD;
and invest more in bringing in advanced technology, dedicated STEM education, &#xD;
compulsory green training contracts for their corporate employees , and upskilling of &#xD;
labor to overcome the mismatch in skill sets.</description>
    <dc:date>2026-05-01T00:00:00Z</dc:date>
  </item>
  <item rdf:about="http://dspace.dtu.ac.in:8080/jspui/handle/repository/23044">
    <title>INDUSTRIAL AND FISCAL SPILLOVER EFFECTS OF  DEFENCE MANUFACTURING UNDER MAKE IN INDIA:  AN INTEGRATED ASSESSMENT</title>
    <link>http://dspace.dtu.ac.in:8080/jspui/handle/repository/23044</link>
    <description>Title: INDUSTRIAL AND FISCAL SPILLOVER EFFECTS OF  DEFENCE MANUFACTURING UNDER MAKE IN INDIA:  AN INTEGRATED ASSESSMENT
Authors: YADAV, KOMAL; Banerjee, Saikat (SUPERVISOR)
Abstract: This dissertation presents an integrated assessment of the industrial and fiscal &#xD;
spillover effects of defence manufacturing under India's Make in India initiative, &#xD;
covering the period 2004–25. The study is organised around two core objectives that &#xD;
together examine how India's ongoing transition from import-dependence to &#xD;
indigenous defence production has affected both its broader industrial ecosystem &#xD;
and its fiscal position. &#xD;
Objective 1 tracks India's defence indigenisation journey through trend analysis and &#xD;
econometric modelling. Part A documents the dramatic growth in domestic defence &#xD;
production (from ₹17,435 crore in 2004–05 to ₹1,50,590 crore in 2024–25), the &#xD;
partial but incomplete substitution of imports (SIPRI TIV data shows continued &#xD;
dependence for high-technology platforms), and the emergence of a defence export &#xD;
capability (growing to ₹23,622 crore in 2024–25). Part B presents an OLS &#xD;
regression model — ln(MFG GVA) = 1.094 + 0.354·ln(Defence Production) + &#xD;
0.629·ln(GFCF) + ε — that demonstrates a statistically significant positive spillover &#xD;
from indigenous defence production to manufacturing GVA (R² = 0.991, p &lt; 0.05). &#xD;
A qualitative spillover matrix identifies six channels through which defence &#xD;
manufacturing generates civilian economic benefits: DRDO technology transfers &#xD;
(670 LATOTs signed), HAL’s dual-use aviation infrastructure, BEL’s non-defence &#xD;
commercial revenues (₹2,640 crore, 13.3% of revenue), iDEX startups, MSME &#xD;
vendor ecosystem (~16,000 MSMEs), and Defence Corridor industrial clusters &#xD;
(52,658 jobs committed). &#xD;
Objective 2 examines the fiscal sustainability of defence indigenisation through a &#xD;
three-component framework. Ratio analysis reveals a structural decline in the &#xD;
overall defence fiscal burden (from 10.4% to 7.6% of government expenditure) but &#xD;
documents the internal restructuring that constrains this progress: pension liabilities &#xD;
have risen from 14.5% to 22.7% of the defence budget; the capital-to-revenue ratio &#xD;
has more than halved; and DRDO’s proportionate budget share has remained flat at &#xD;
3–6%. Regression analysis (R² = 0.417, F p-value = 0.024) confirms that India &#xD;
Page 5 &#xD;
remains in the transition-cost phase of indigenisation, with pension crowding-out the &#xD;
dominant structural pressure (coefficient = −0.080, p = 0.086) and no single policy &#xD;
variable independently determining fiscal outcomes. &#xD;
The integrated analysis reveals a paradox at the heart of India’s defence &#xD;
transformation: industrial spillovers from defence manufacturing are real and &#xD;
growing, but fiscal constraints — rising pension liabilities, stagnant R&amp;D &#xD;
investment, and declining capital-to-revenue ratios — threaten the sustainability of &#xD;
the indigenisation process itself. The study identifies specific policy interventions &#xD;
required to break this constraint and accelerate India’s transition to a fiscally &#xD;
sustainable, industrially generative defence manufacturing base.</description>
    <dc:date>2025-06-01T00:00:00Z</dc:date>
  </item>
  <item rdf:about="http://dspace.dtu.ac.in:8080/jspui/handle/repository/23027">
    <title>IMPACT OF FINTECH ON POVERTY REDUCTION: A STUDY OF  SELECTED SOCIOECONOMIC FACTORS WITH SPECIAL REFERENCE  TO UPI IN INDIA</title>
    <link>http://dspace.dtu.ac.in:8080/jspui/handle/repository/23027</link>
    <description>Title: IMPACT OF FINTECH ON POVERTY REDUCTION: A STUDY OF  SELECTED SOCIOECONOMIC FACTORS WITH SPECIAL REFERENCE  TO UPI IN INDIA
Authors: CHAUDHARY, MONA; Mookerjee, Amit (SUPERVISOR)
Abstract: Digital financial systems are becoming essential tools to improve financial inclusion &#xD;
and alleviate poverty in developing economies. The Unified Payments Interface &#xD;
(UPI) is also India's flagship digital public good that has revolutionised the payment &#xD;
ecosystem through instant, low cost, bank linked payments which are now accessible &#xD;
for all income and generational groups. In FY 2024–25, UPI has emerged as one of &#xD;
the world's largest real-time payment systems with nearly 185.8 billion transactions &#xD;
valued at ₹260.6 lakh crore. However, the evidence from the micro level that there is &#xD;
any relationship between poverty reduction and intensity of UPI use, and how this &#xD;
relationship occurs is still limited. The thesis examines the link between the use of &#xD;
FinTech or UPI, financial inclusion and the multidimensional poverty outcomes of &#xD;
400 households in the National Capital Territory (NCT) of Delhi. The data were &#xD;
gathered using a structured household survey questionnaire with socioeconomic &#xD;
profile, UPI usage intensity (5 items), financial inclusion (8 items) and &#xD;
multidimensional poverty and living standards (5 items) through stratified random &#xD;
sampling by generational and income cohort. The analysis used was Exploratory &#xD;
Factor Analysis (EFA), Confirmatory Factor Analysis (CFA), and the Structural &#xD;
Equation Modelling (SEM). The following four hypotheses were tested: (H1) UPI &#xD;
usage intensity positively affects financial inclusion; (H2) financial inclusion has a &#xD;
positive effect on multidimensional household poverty; (H3) financial inclusion &#xD;
positively affects household welfare; and (H4) financial inclusion mediates the &#xD;
relationship of UPI and poverty. The measurement model was reliable, with &#xD;
Cronbach's α values of 0.931 for UPI Usage Intensity, and valid with all Average &#xD;
Variance Extracted (AVE) values &gt; 0.50. Support for all four structural hypotheses &#xD;
was found. The usage intensity of UPI had a strong positive effect on financial &#xD;
inclusion (β = 0.744, p&lt;0.001), and financial inclusion significantly reduced &#xD;
multidimensional poverty (β = 0.476, p&lt;0.001). A direct positive effect of the usage &#xD;
v &#xD;
of UPI on welfare was found (β = 0.268, p&lt;0.001), and the indirect path through &#xD;
financial inclusion was also significant (β = 0.354, p&lt;0.001), which confirmed the &#xD;
partial mediation. The results support a usage intensity approach to financial &#xD;
inclusion, showing that the intensity of UPI use yields welfare gains, rather than just &#xD;
access. The thesis ends by proposing policy options such as broadening QR code &#xD;
acceptance in the informal markets, integrating UPI transaction with the formal &#xD;
credit assessment and extending the integration of UPI with Direct Benefit Transfer &#xD;
(DBT) schemes. Technology: UPI, Financial Inclusion, Digital Payments, SEM, &#xD;
Financial Inclusion, Financial Technologies, Village Level Welfare.</description>
    <dc:date>2026-05-01T00:00:00Z</dc:date>
  </item>
  <item rdf:about="http://dspace.dtu.ac.in:8080/jspui/handle/repository/22741">
    <title>AN INVESTIGATION INTO THE IMPACT OF GOLD, CRUDE OIL, BITCOIN, SPX, INTEREST RATES, EXCHANGE RATES, AND GLOBAL EVENTS ON ETHEREUM PRICES</title>
    <link>http://dspace.dtu.ac.in:8080/jspui/handle/repository/22741</link>
    <description>Title: AN INVESTIGATION INTO THE IMPACT OF GOLD, CRUDE OIL, BITCOIN, SPX, INTEREST RATES, EXCHANGE RATES, AND GLOBAL EVENTS ON ETHEREUM PRICES
Authors: JANGID, ADITYA; KUMAR, ADITYA; KUMAR, AYUSH; TANWAR, RITIK; CHATURVEDI, ANURAG (SUPERVISOR)
Abstract: The motivation behind this exposition is to examine the effect of specific factors like gold, raw &#xD;
petroleum, bitcoin, financing cost, money swapping scale, besides worldwide occasions like the &#xD;
Coronavirus pandemic, the 2019 crypto bubble burst, besides the Russia-Ukraine battle on &#xD;
Ethereum costs. The exploration expects to recognize the main macroeconomic variables besides &#xD;
worldwide occasions that influence the cost of Ethereum besides investigate the connections &#xD;
between these elements besides the cost of Ethereum.&#xD;
The review utilizes a blended strategies research approach, including both subjective besides &#xD;
quantitative investigation. The subjective investigation remembers a survey of the pertinent &#xD;
writing for the effect of gold, unrefined petroleum, Bitcoin, SPX, trade rates, loan costs, besides &#xD;
worldwide occasions on digital money costs, besides quantitative examination includes the &#xD;
utilization of factual devices like relapse investigation besides connection examination. The &#xD;
product sees 12 has been utilized to direct the accompanying examination.&#xD;
The review's discoveries recommend that gold, unrefined petroleum, Bitcoin, besides SPX have a &#xD;
positive connection with the cost of Ethereum, while loan fees have a negative relationship. &#xD;
Worldwide occasions like the Coronavirus pandemic, the 2019 crypto bubble burst, besides the &#xD;
Russia-Ukraine war mixed affect Ethereum costs.&#xD;
The review infers that macroeconomic elements besides worldwide occasions essentially influence &#xD;
the cost of Ethereum. The discoveries of this study can be helpful for financial backers, dealers, &#xD;
besides policymaker’s keen on grasping the elements that impact the worth of Ethereum.</description>
    <dc:date>2024-06-01T00:00:00Z</dc:date>
  </item>
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