This study aims to investigate the impact of COVID-19 pandemic on stock markets sixteen countries. Pooled OLS regression, conventional t-test and Mann-Whitney test are used estimate results study. We construct a weekly panel data new cases returns. estimation result shows that growth rate negatively predicts return in market. Next, returns leading indices these countries during outbreak period compared with non-COVID period. use compare The reveal investors do not react media news at early...

A huge foreign direct investment (FDI) inflow has been witnessed in China, though on the one hand, it brings a significant contribution to economic growth. On other adversely affects ambient air pollution that may affect human mortality country. Renewable energy (RE) usage meets country's needs with no adverse effect environment. Therefore, this study is trying empirically analyze of FDI morality and RE consumption China. We used time-series data for 1998-2020 applied non-linear ARDL...

Water is a fundamental and crucial natural resource for human survival. However, the global demand water increasing, leading to subsequent decrease in availability. This study addresses critical need improved forecasting models amidst scarcity concerns exacerbated by climate change. uses best weather model sustainable development. Employing Recurrent Neural Network–Long Short-Term Memory (RNN-LSTM) approach, research enhances drought prediction capabilities integrating secondary data of...

Summary As a result of the recent energy crisis and rapid industrialization in Pakistan, significant attention has turned toward alternative resources, CO 2 emissions, health‐related issues. The adoption renewable energies will not only accomplish demand economy but also provide healthy environment. Therefore, it is essential to understand linkages between trade, energy, health expenditures with special focus on an emerging like Pakistan. This study used time series data from 1998‐2017...

Global tourism has witnessed a significant positive implication on the development of developing economies. Despite tourism, it imposes serious environmental cost such as pollution. Brazil receives large number tourists each year that potentially affects economic growth and development. Therefore, this study investigates effect GDP CO 2 emissions in Brazil. We used nonlinear ARDL approach to examine nexus between growth, for period 1995–2018. The outcomes reveal both short-run long-run...

In the recent decades, developing nations aim to industrialize and grow sustainably often ignoring environmental consequences. However, few empirical studies have looked at influence of industrialization-driven economic transition on marine pollution, in particular post trade openness. This paper analyzes nexus between openness, industrialization, pollution. The study uses time series data (1995–2022) applies quantile regression analyze impact openness industrialization finding this...

China has remained top among the carbon dioxide (CO2) emitting countries in world, while it a significant contribution to world trade after World Trade Organization (WTO) reforms China. The dramatic increase CO2 emissions been witnessed. This study examines linkages between openness, emissions, and healthcare expenditures using time series data for period 1990-2017. extended theoretical model by adding expenditures, openness with some constraints. We used simultaneous equation method...

In recent years, information and communication technology (ICT) is used in every sphere of life, from business to services, education culture, infrastructure transportation, art entertainment. The current study aims assess the impact ICT, economic growth, globalization on CO 2 emission context Pakistan. For empirical estimation, applied an innovative methodological approach called generalized linear model (GLM) robust least square (ROBUSTLS) technique for years 1990–2019. key finding this...

Objective: The provision of healthcare facilities remains high on the manifesto various political parties in Pakistan and spending has witnessed a significant surge last two decades that is expected to positively influence health outcomes country. Therefore, this research aims explore effects expenditures actual status masses for period 1995Q1 2017Q1. Methods: We apply Quantile Autoregressive Distributed Lag (QARDL) approach estimation purposes. This most recent emerging technique time...

Pakistan's local currency has been devalued during different exchange regimes, which may substantially affect energy consumption and CO 2 emissions. Therefore, this study investigates the effects of rate depreciation on emissions from 1990–2018. We apply nonlinear autoregressive distributed lag (ARDL) cointegration approach for empirical analysis found that increases in both short long runs. These results suggest devaluation an expansionary effect enhances economic growth at cost high...

The world has seen a number of natural hazards, but among them, floods are perhaps the most frequent devastating hazard, resulting in more human causalities and financial losses. Rural inundation become an issue concern various parts world, including Pakistan. Over past few decades, it been hard for local institutions rural populations to recover from trauma inflicted by these events. disaster risk management cycle is well-known tool coping with disasters their consequences. Yet, DRM...

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The economic complexity index is an effective dimensionality reduction tool that applied to forecast and predict future growth, income, environmental quality. Renewable energy plays important role in mitigation of carbon dioxide emissions. This study explores the nexus between complexity, renewable energy, FDI, trade, quality Japan for period 1970Q1-2019Q4. We use (CO2) emissions as dependent variable while (ECI), foreign direct investment (FDI) inflow, (RNE), trade explanatory variables....

Abstract Environmental quality has become a growing concern for Chinese society since the last 2 decades in China. The large contribution of different pollutants severely affected environmental that untimely affects life expectancy country. In this backdrop, present study investigates impact and public spending on environment China using period 1999Q1–2017Q4. We employ nonlinear autoregressive distributed lag model (ARDL) approach empirical assessment. outcomes reveal existence long‐run...

The purpose of this study is to investigate the determinants capital structure firms operating in a developing economy, Pakistan. quantile regression method applied on sample 183 non-financial companies listed Pakistan Stock Exchange during period 2008-2017. Specifically, empirical analysis focuses changes coefficients according leverage ratio quantiles examined firms. findings show that differs between different leverage. These differences are significant with sign explanatory variables...

This study empirically analyzes the impact of financial structure and misery index on economic growth in Pakistan. We adopted Autoregressive-Distributed Lag (ARDL) for a co-integration approach to data analysis used time series from 1989 2017. GDP as dependent variable; Financial Development (FDI) explanatory variables; remittances, real interest, trade openness control variables. The empirical results indicate existence long-term relationship among included variables model FD index,...

This study delves into the impact of formal institutions on stock market volatility within a selection emerging economies. Specifically, it examines role that play in shaping this volatility. To accomplish our goal, we analyze panel data from 46 nations spanning years 2000-2019, utilizing system generalized method moments (GMM), as well random and fixed effect models for estimations. The findings research validate existence significant association between Likewise, through dynamic...

The coupling and coordination of high-quality agricultural development (HQAD) rural revitalization is an inevitable choice to accelerate the realization Chinese-style modernization. Based on system theory, this study reconstructs indicator systems both conducts measurements by applying improved AHP–entropy weight method. This has extended analytical methods kernel density estimation, Dagum Gini coefficient, σ convergence, spatial β convergence further investigate spatio-temporal evolution,...

The increasing pace of globalization and competition for highly skilled professionals have accelerated the international mobility across national boundaries knowledge exchange economic reasons. purpose this study was to examine current trend determinants migration intentions in China. For purpose, we carried out a survey China from 2021 respondents by using probability sampling technique. empirical estimation, employed logistic regression estimation technique compute evaluate data. In...

Pakistan liberalized its trade in different regimes and the recent reforms is CPEC project which expected to reduce wages inequality of skilled unskilled labor. This study forecasts as a result openness by using artificial neural network approach for period 1991–2017. The empirical outcomes revealed that liberalization influential factor reducing Pakistan, forecasting results 2019–2026 show dynamic trend response liberalization; however, many years, positive implication has been witnessed inequality.

Food and water security are critical challenges in Pakistan, exacerbated by rapid population growth, climate variability, limited resources. This study explores the application of machine learning techniques to address these issues. We specifically examine dimensions food employing data-driven methods enhance crop yield predictions, production forecasting, resource management. Using secondary data, we refine models, such as random forest linear regression, analyze availability, yield,...

Fata region has diverse characteristics of income and consumption than the other regions Pakistan but no study is available in literature which address household region. To feel this gap, examines impact socioeconomic demographic factors on household’s monthly expenditure food items FATA 2017. Regression analysis revealed that head, size, education, experience, significantly determined commodities. Income elasticity less unity (0.37<1) confirmed commodities are necessities supported Engel...

This study employs “Data Envelopment Analysis (DEA)” method to calculate the “Total Factor Productivity (TFP)” growth and its components of 19 non-financial firms from Cement Energy sectors Pakistan listed on ISE-100 Index during time period 20052011. The research focuses identify factors like, technical change efficiency tends influence TFP cement -and energy Pakistan. We use hand collected data annual reports these included in our sample. Results show that sector has an overall positive...