Gyanendra Sisodia

Dr. Gyanendra Sisodia

orcid

Research Focus & Metrics

Academic Career Length

13Years (2014-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 July 2018 in Sustainable Cities and Society
Verified
Journal Article
Closed access
FRFabien Chidanand Robert
Fabien Chidanand Robert
GSGyanendra Sisodia
Gyanendra Sisodia
SGSundararaman Gopalan
Sundararaman Gopalan


30 September 2020 in GeoJournal
Verified
Journal Article
Open access
PDF file
AIAlberto Ibanez
Alberto Ibanez
GSGyanendra Sisodia
Gyanendra Sisodia
This study aims to analyze the role of cross-cultural country differences during a global pandemic. Based on country cultural dimensions and country economic indicators, the research proposes specific policies that might prove of value in order to manage and better respond to present and future critical events such as the 2020 SARS-CoV-2 outbreak. The methodology is based on multivariate analysis for the first set of countries and cross-country comparative analysis for the second set of countries. Research results reveal the critical role of the cultural dimensions individualism, power distance, masculinity, long-term orientation and indulgence, along with the country economic context in the magnitude of the consequences of a global pandemic within a country specific context. Based on these results, the study proposes policies adjusted to the countries specific cultural and economic frameworks in order to promote the most effective and efficient management of a critical event such as a global pandemic.

22 January 2023 in International Journal of Energy Economics and Policy
Verified
Journal Article
Open access
PDF file
JGJesus Cuauhtemoc Tellez Gaytan
Jesus Cuauhtemoc Tellez Gaytan
ARAqila Rafiuddin
Aqila Rafiuddin
GSGyanendra Sisodia
Gyanendra Sisodia
GAGouher Ahmed
Gouher Ahmed
CPCh Paramaiah
Ch Paramaiah
Vector Auto regression model (VAR) a time -varying parameter is applied to study the effect of oil price shocks on the returns of stocks in the LATAM (Latin American) markets. Coherent Wavelet analysis highlights possibilities of connectedness of the oil price and LATAM stock markets through the presence of different patterns in a time series. The structural demand shocks standard deviations during the COVID-19 era remain high and the pass-through effects on stock returns due to oil prices differ for different time frames. The fundamental linkages are demonstrated due to oil market specific demand. The main motive of the research work is to identify the influence of oil price on stocks and identify the fundamental source of contagion. A random effects model is applied to the panel data of LATAM markets with the Global stock market index, MSCI (Morgan Stanley Capital International World Index), domestic money market rates and currency exchange rates during the period of study, 15 March 2019 to 31 July 2021 with 684 observations of controlled non-observed characteristics from individual country. The findings of this research recommend the pass-through effect of the oil prices on the stock market returns are based on time frequency. The contribution of this paper helps the policy makers to restore the confidence amongst the investors in the stock markets and strategies to be adopted by the investors to mitigate the risk by ideal portfolio management.

25 December 2020 in British Food Journal
Verified
Journal Article
Closed access
GSGyanendra Sisodia
Gyanendra Sisodia
RARaweya Alshamsi
Raweya Alshamsi
BSBruno Sergi
Bruno Sergi
Purpose: This study aims to evaluate a hydroponic farm (through nutrient film technique) while considering uncertainty, sustainability and the system's utility in the dominant desert geography. The idea of the hydroponic farm is to allow individuals/businesses to grow plants. Given the geographical condition, the hydroponic system may be useful in the Gulf context and may lead to food security and sustainability. Additionally, the UAE government has initiated several support schemes that can be availed for investing in such businesses that can contribute to the nation's food security.Design/methodology/approach: The hydroponic farm is evaluated using the net present value and real options approach. The authors studied five scenarios: 1. business as usual, 2. 50% subsidy on initial investment through Khalifa funding, 3. 4% premium, 4. Subsidy plus premium and 5. solar panel installation with bore well.Findings: As per the assumptions and data usage, all the scenarios shows a positive net present value (NPV); Nevertheless, scenarios 4 and 5 report the significant highest net present and delay value.Research limitations/implications: This study has environmental, economic and social implications. Lower imports indirectly lead to lower carbon footprints. The local production of food ensures higher employability in the sector and increase in local consumption. Additionally, fresh food consumption is directly associated to good health.Practical implications: Supportive policies such as subsidies through Khalifa funding may accelerate the expansion of such projects through domestic and foreign investments. One of the important takeaway from the study is to invest in the training of the workforce.Social implications: Given the geographical condition, the UAE usually depends on food imports. If the hydroponic farms become popular, the residents will have access to fresh vegetables and fruits. Higher engagement in agriculture activities also ensures a significant increase in agriculture-related businesses and higher employability.Originality/value: The study adds novelty to the literature because the effect of Khalifa funding and investment analysis on solar (wells) has not been evaluated in any hydroponic studies. We presented the results with tornado graphs using NPV risk and real options approach in the Gulf context. The study represents functional scenarios that were previously not found in the literature.

2 September 2014 in Applied Economics Letters
Verified
Journal Article
Closed access
GSGyanendra Sisodia
Gyanendra Sisodia
Isabel SoaresIsabel Soares
Isabel Soares
This study is an empirical approach to understand the determinants of renewable energy (RES) investment in European Union (EU-27) through panel data study over the period 1995 to 2011. Random effect panel data modelling technique was used to understand the variables that affect solar and wind energy investments in EU-27. Results suggest that the strong regulation perception plays negative role in the solar energy investment, and lower sunshine hours lead to higher wind investment.