Analysis of Technical Efficiency in Mustard Production in Different Agro-Climatic Zones of Haryana and Punjab

This paper help in analyzing Technical Efficiencies (TE), in different agricultural production stages for growing mustard, adopted by the farmers of Punjab &Haryana in smallholding farming communities following the fast-track agricultural reform of the year 2014 with a view of highlighting key entry points for policy in the context of “Doubling of Farmers Income”. Using a randomly selected sample of 350 smallholder mustard producers in the districts of south western Punjab and north western Haryana, a stochastic frontier production model was applied, using a linear Cobb–Douglas production function to determine the production elasticity coefficients of inputs, technical efficiency and the determinants of efficiency. The TE can be proved immensely helpful to avoid the situation of indebtedness, low yield and farmer’s suicides in other Indian states. The study finds that mustard output responds positively to the increases in inorganic fertilizers, seed quantity, the use of labour and the area planted. The analysis for mustard growers depict 90 per cent of farmers in the study area, are technically efficient between 70 and 85 per cent, with an average of 77 per cent. The crucial factors of technical efficiency were the gender of head, size of family and frequency of extension services and visits, size of farm and the farming region. This paper represents a case study of south western Punjab and western Haryana to conclude the advanced middle stage farmers of both the state transforming the income generation from agricultural production by making possible use of efficient technology in production for High Yield Varieties (HYV) of mustard.JEL Codes: O21, O33, Q12, Q1

Funding liquidity on bank lending growth: The case of India

PURPOSE: By bridging the funding gap between funding surplus units and deficit units, financial institutions like banks play a crucial role in fostering economic development in a nation. Banks provide the crucial task of organizing individual and institutional resources and directing them to those prepared to engage in business ventures or other productive uses. The aim of this paper is to evaluate the relation between funding liquidity and bank lending growth (BLG). An empirical analysis between bank capital and the funding liquidity ratio on bank lending growth (BLG) using the generalized method of moments (GMM) approach for the sustainable business has been not identified before. Therefore, this study tries to fill this gap. METHODOLOGY: The data was collected from 59 commercial banks in India from 2010 to 2022 which comprises of 21 public sector banks, 18 private sector banks, and 20 foreign banks. The GMM approach was what we employed. This strategy is typically utilized in situations in which the distribution of the data is uncertain and there is a concern with over identification. GMM offers a consistent, asymptotically normal, and efficient estimator in comparison to all of the other estimators that merely use the information presented by the moment conditions. FINDINGS: Findings suggests that there is a significantly negative influence of bank capital and funding liquidity on bank lending. This indicates that higher capital can limit the effect of funding liquidity on the growth of the banks’ loans, therefore the findings are consistent with the hypothesis that higher capital can lower the effect of funding liquidity. This study’s model also reveals the significantly favorable impact that funding liquidity has on the expansion of banks’ loan portfolios, which ultimately results in a more sophisticated increase in the growth rate of bank lending. IMPLICATIONS: This can be an importance piece of information for policy makers in taking accurate decisions to induce the BLG in the presence of an interactive association of funding liquidity and the lending growth rate at different capital levels. We found that the banks’ lending growth rate is significantly influenced by its past values with a significant p-value of less than 1%. The findings imply that capital funds and liquidity funds support the BLG rate in India by strengthening and neutralising the risk involved and absorbing the losses generated by stressed assets. ORIGINALITY AND VALUE: This study makes a significant contribution to the creation of a more in-depth understanding of the potential relationship between banks’ funding liquidity, capital funds, and bankers’ lending behavior, in particular with reference to developing market nations like India

Uncertainty and Risk in Cryptocurrency Markets: Evidence of Time-frequency Connectedness

This study aims to investigate the spillover effects from geopolitical risks (proxied by the geopolitical risk index) and cryptocurrencies-related uncertainty (proxied by the Cryptocurrency Uncertainty Index) to cryptocurrencies. We utilize the Baruník and Křehlík (2018) framework to detect time-frequency connectedness. Our investigation for the period 2017 to 2022 discovers significant spillover effects from both indices to cryptocurrencies. Utilizing the information transmission theory and network graphs, our findings reveal that some cryptocurrencies function as net receivers of spillovers from geopolitical risks and uncertainty in the short-term, while over longer time horizons they transform into net transmitters of spillovers to uncertainty. The study contributes to better understanding how uncertainty due to various factors (geopolitical, policy changes, regulatory changes, etc.) could affect the cryptocurrencies’ markets

Economic Policy Uncertainty: Global Energy Security with Diversification

Global energy security is a growing worldwide concern in the presence of high economic policy uncertainty (EPU) that can be addressed by advancing sustainable energy diversification (ED) practices. Energy security can be estimated by combining ED and EPU indices; hence, this study uses a dataset covering three continents and 26 countries from 1995 to 2023 to measure energy security employing this approach. The study employs quantile regression and panel data analysis, finding a positive relationship between EPU and ED. The results reveal that when EPU increases, the spectrum of energy sources declines, negatively impacting energy security. Other factors of globalization, Gross Domestic Product, gross capital formation, and the labor force also have an impact on the spectrum of energy sources. To obtain a sustainable level of ED, policymakers should increase investment in gross capital formation because economic growth and openness via pro-global policies have less impact on ED. This study also demonstrates that labor capital shifts have a significant effect on ED. The quantitative results reveal the importance of clear and precise economic policies for increasing investment in carbon-free energy security

The crisis effect in TPB as a moderator for post-pandemic entrepreneurial intentions among higher education students: PLS-SEM and ANN Approach

This research examines college students' entrepreneurial inclinations using TPB, self-efficacy, and the crisis effect. It also examines the crisis effect's moderating influence post-pandemic. A unique analytical technique using Structural Equation Modeling (SEM) and Artificial Neural Network (ANN) was used to evaluate the model's resilience. 310 Indian university students were surveyed online. Self-efficacy is a crucial predictor of entrepreneurial tendencies among higher education students. ANN analysis confirms SEM findings that self-efficacy and perceived behavior control shape entrepreneurial desires. Despite its negative impact, the crisis effect doesn't appear to affect entrepreneurs' objectives. The crisis impact moderates all exogenous and endogenous factors except subjective norms and entrepreneurial goals, the research finds. The research also shows that students' education and geography affect their entrepreneurial inclinations. Gender, however, has little control. Policymakers and higher education administrators could boost entrepreneurial ambitions by fostering students' self-efficacy and perceived behavior control. Understanding these elements allows higher education stakeholders to create targeted interventions and support systems to foster college student entrepreneurship

Testing the Pollution Haven Hypothesis with the Role of Foreign Direct Investments and Total Energy Consumption

The main objective of this study was to examine the nonlinear relationship between environmental deterioration and foreign direct investment for subpanels based on the country’s income level. In this study, the model’s determinants were total consumption of energy and electricity consumption, the share of renewable energy, and economic growth. Due to the observation of cross-sectional dependence, utilization of cointegration tests and panel data unit root were incorporated, which confirmed a mixed integration order. For the compliance of long-run and short-run relationships among the variables, a pooled mean group estimator panel auto-regressive distributed lag approach was incorporated. The results of long-run development support the pollution haven hypothesis; hence, ecological footprint is increased by the activities related to foreign direct investments. The obtained findings depend on the different subpanels based on the income level of countries. For the assurance of economic development sustainability in the energy sector, along with the electrical energy sector, customized policymaking is suggested by this study based on the particulars of each subpanel

Novel evidence from APEC countries on stock market integration and volatility spillover: A Diebold and Yilmaz approach

AbstractThe interconnection of stock markets offers valuable insights into the broader dynamics of global financial markets. This study uses the Diebold and Yilmaz index model to analyze and measure volatility spillovers and interconnectedness among APEC stock markets. The objective is to identify major transmitters of volatility spillovers and assess the magnitude of different crisis cycles. The results show that the US is the major contributor (69.54%) to volatility spillovers in APEC stock markets, followed by Canada (52.92%) and Mexico (37.09%). These three economies are part of the highly integrated regional bloc, say, North American Free Trade Agreement (NAFTA). New Zealand has the highest net inflow of spillovers, while spillovers account for 32.86% of the error variance across APEC equity markets. Moreover, notable spikes in volatility spillovers have been observed as a result of various events, including the Chinese stock bubble, the Global Financial Crisis (2007–2008), European debt crises, the Chinese stock market crash, the cryptocurrency crash, the COVID-19 pandemic, and the Russia-Ukraine conflict. The study’s findings imply that policymakers should enhance economic integration and cooperation within APEC countries to manage volatility spillovers effectively. The research highlights market interactions for a large sample, aiding in identifying investment opportunities and risk management strategies

The Impact of Globalization, Energy Use, and Trade on Ecological Footprint in Pakistan: Does Environmental Sustainability Exist?

Globalization has contributed to several advances in technology including linking people around the globe and driving us to modern economies. With fast economic growth and industrialization progress, the negative impact of globalization on biodiversity can be easily ignored. Globalization is an undeniable factor in our planetary devastation from pollution to global warming and climate change. The major intention of our recent analysis was to examine the globalization, energy consumption, trade, economic growth, and fuel importation to determine the ecological footprint in Pakistan by taking the annual data variables from 1974–2017. A linear ARDL (autoregressive distributed lag) technique with limited information maximum likelihood and linear Gaussian model estimation were utilized to check the variables association. Outcomes show that in the long run, globalization, energy usage, trade, and GDP growth have consistently productive interactions with the ecological footprint, while an examination of fuel importation uncovers an adversative linkage to impacts on the ecological footprint in Pakistan. Similarly, the findings of short-run interactions also reveal that globalization, energy usage, trade, and GDP growth have constructive linkages; however, an examination of fuel importation also uncovers an adversative linkage to impacts on the ecological footprint. The outcomes of limited information maximum likelihood also expose that the variables of globalization, energy usage, trade, and fuel importation have productive linkages, while an examination the GDP growth uncovers an adversative linkage to the ecological footprint. Furthermore, the outcomes of the linear Gaussian model estimation also uncover that globalization and energy usage demonstrate a constructive linkage, while other variables reveal an adverse linkage to the ecological footprint. Environmental pollution is now an emerging issue which causes the climatic variations associated with greenhouse gases emissions. The Pakistani government must adopt new strategies to ensure that CO2 emissions are reduced in order to stimulate economic growth