75 results match your criteria: "Pakistan Institute of Development Economics[Affiliation]"

Due to its rapid economic development over the past few decades, China is now at the forefront of environmental issues, necessitating creative solutions that combine ICT, digital financial inclusion, environmental pressure, and free trade to encourage green investment. This study aims to investigate the linkage between ICT, digital financial inclusion, environmental pressure, free trade, and green investment in China from 1996 to 2022 by employing the Partial least squares structural equation modelling (PLS-SEM). As per our results, the statistical values of Cronbach's alpha, composite reliability, and average variance are all above the cutoff point, demonstrating the applicability of this methodology.

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Probability distributions play a pivotal and significant role in modeling real-life data in every field. For this activity, a series of probability distributions have been introduced and exercised in applied sectors. This paper also contributes a new method for modeling continuous data sets.

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The research aims to propose a feature selection model for hydraulic analysis as such a model has not been proposed previously. For this purpose, hybrids of three metaheuristic algorithms, particle swarm optimization (PSO), ant colony optimization (ACO), and genetic algorithm (GA) with two machine learning models which are support vector machine (SVM) and K-nearest neighbor (KNN) are employed. The dataset considered was hydraulic having an association with flood and possessed topographic, geo-environmental, and human-induced variables.

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Unconditional cash transfers, health and savings.

Econ Hum Biol

April 2024

Department of Economics, Monash University, Australia. Electronic address:

This paper examines the relationship between a national unconditional cash transfers (UCTs) program, health and savings. We theoretically and empirically show that motives to save can be strong when cash transfers promote health outcomes. We first present a theoretical model that considers lifecycle-consumption savings decisions, where households derive utility from consumption and leisure time at working age, as well as old-age consumption and old-age longevity that positively depend on health spending.

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In contemporary times, geopolitical risk, and natural resources prices are susceptible due to the Russian-Ukraine conflict. In the meantime, emerging economies are struggling to explore the factors that could reduce ecological challenges and enhance environmental management. This research aims to analyze several economic, environmental, political, and institutional variables to ascertain their influence on greenhouse gas emissions in China.

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Financial deepening is important in resource allocation for more productive enterprises, leading to sustainable green growth. Moreover, rapid development in the digital economy and export diversification significantly affect green growth. From this perspective, our study explores the impact of financial deepening, ICT development, and export diversification on green growth in China's economies from 1996 to 2021.

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This report is based on the extrapolation to 2020 of data on the economic burden of mental illnesses in Pakistan in 2006. Given the resultant estimated high economic burden of mental illness in the country (£2.97 billion in 2020), we advocate a revised budget allocation to mental healthcare.

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Statistical modeling is a crucial phase for decision-making and predicting future events. Data arising from engineering-related fields have most often complex structures whose failure rate possesses mixed state behaviors (i.e.

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It is undeniable fact that financial development and technological capital are fundamental determinants that help in the achievement of green growth. This is important to explore the nexus between financial development, technological capital, and green growth in China. This study utilizes the quantile autoregressive distributed lag (QARDL) approach for exploring the effect of financial development and technological capital on green growth.

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The environmental goods and services industry consists of the activities that generate products and services to monitor, avoid, restrict, reduce, or repair environmental risk and decrease non-renewable energy resource usage. Although the environmental goods industry does not exist in many countries, mainly developing countries, through international trade, its impacts are reaching developing countries. This study examines the impact of environmental and non-environmental goods trade on emissions in high and middle-income countries.

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Informal employment and catastrophic health expenditures: Evidence from Pakistan.

Int J Health Plann Manage

July 2023

School of Business, Faculty of Business, Education, Law and Arts, Toowoomba, Queensland, Australia.

Workers in informal employment suffered significant out-of-pocket healthcare expenditures (OOPHEs) due to their low earnings and a lack of a social safety net or health insurance. There is little or no evidence of impoverishment caused by OOPHEs in the context of labor market categorization. Therefore, this study examines the economic burden of OOPHEs and its associated consequences on households, whose members are in informal employment.

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Effect of environmental taxes on environmental innovation and carbon intensity in China: an empirical investigation.

Environ Sci Pollut Res Int

April 2023

Department of Business Administration, Faculty of Management Sciences, ILMA University, Karachi, Pakistan.

Environmental taxes are deemed to be an important carbon mitigating factor and also encourage the producers to adopt environmentally friendly technologies. Therefore, the main objective of the analysis is to evaluate the environmental taxes on environmental innovations and carbon intensity in China. The novel quantile autoregressive distributed lag (QARDL) is applied to investigate the model empirically.

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In the estimation of demand functions for energy resources, parametric econometric models of energy demand are commonly used to predict future energy needs. The functional forms commonly assumed in parametric energy demand models include linear functional forms, log-linear forms, trans-log models, and an almost ideal demand system. It is frequently debated which is the "best" functional form to employ in order to accurately represent the underlying relationships between the demand for various energy resources and explanatory variables such as energy prices, income, and other demographic factors.

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Background: The lack of reliable tobacco healthcare and economic cost estimates leaves the tobacco industry undertaxed and thriving in Pakistan and makes the country as one of the top tobacco-consuming nations. To facilitate effective tobacco tax policymaking, this study estimates the economic cost of smoking-attributable diseases and deaths in Pakistan.

Methods: A nationally representative sample survey of 13 000 households was administered to gather the data required to estimate different cost components of smoking-attributable diseases through the prevalence-based approach.

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Exploring the role of economic and institutional indicators for carbon and GHG emissions: policy-based analysis for OECD countries.

Environ Sci Pollut Res Int

March 2023

Department of Chemical Engineering, Process and Environmental Technology Lab. KU Leuven, J De Nayerlaan 5, B-2860, Sint-Katelijne-Waver, Belgium.

Article Synopsis
  • The study investigates the relationship between economic and environmental indicators in 29 OECD countries from 1990 to 2018, aiming for sustainable economic growth.
  • It finds that export diversification reduces carbon emissions but increases greenhouse gas emissions, while institutional quality and economic factors generally lower carbon emissions but can raise greenhouse emissions.
  • The research highlights the complex effects of trade openness and urbanization on emissions and suggests policy recommendations for better environmental outcomes.
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In this study, we have analyzed the asymmetric influence of tourism activities on economic growth and CO emissions in selected Asian economies covering the time span from 1992 to 2020. The results are estimated using the panel NARDL approach. These results confer that a rise in tourism activities causes the CO emissions to decline and economic growth to rise, whereas a fall in tourism activities causes the CO emissions to rise and economic growth to decline in the long run.

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Aim: Previous theory and research postulate that workaholism is one of the important factors that contribute to burnout. The present study aimed to analyze the role of psychological capital as a mediator between the two. Moreover, the study examined the moderating role in the stated mediated relationship.

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Objectives: The proposed research studied the determinants of male and female child malnutrition in Pakistan. More specifically, it observed the role of the sanitation facility and drinking water source as important determinants of malnutrition in a gender analysis.

Methods: Novel data of 1010 children under three years of age from PDHS 2017-18 were used.

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Policymakers in developing countries like Pakistan mostly ignore the behavioral aspects of climate change mitigation, whereas literature is also deficient in advocating evidence-based mitigation strategies. This study aims to analyze the impact of personality traits, social norms, and attitudes on energy conservation behavior. Face-to-face interviews of 361 households are conducted in the capital city of Pakistan using random sampling.

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The relationship between women's empowerment and household food and nutrition security in Pakistan.

PLoS One

October 2022

Scottish Collaboration for Public Health Research and Policy, School of Health in Social Science, University of Edinburgh, Edinburgh, Scotland, United Kingdom.

Unlabelled: Women's empowerment is considered to play a crucial role in food and nutrition security. We aimed to explore the relationship between women's empowerment and food and nutrition security, in rural Pakistan.

Methods: To estimate women's empowerment, we developed a Rural Women Composite Empowerment Index incorporating nine domains.

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Objectives: This research measures the occurrence of malnutrition amongst under-five children in the Rahimyar Khan district of Southern Punjab in Pakistan. Employing different anthropometric measurement approaches such as (1) conventional indices (HAZ, WAZ, and WHZ), (2) CIAF, (3) BMI-for-age, and (4) MUAC, we compare their estimated results and examine the relationship between socioeconomic determinants and different anthropometric indicators.

Methods: The study employs a proportional purposive random sampling method to collect data from 384 rural households in the community-based study using a self-administered survey and following the Lady Health Workers (LHWs) registered records.

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Environmental stringency policy shocks and environmental tax have become fundamental policy tools for mitigating the degradation of the environment. The study explores the effects of environmental tax and environmental stringency policy shocks in the reduction of pollution emissions in China for the time 1993 to 2019. This study is a pioneer in assessing the simultaneous impact of these two policy instruments on pollution emissions in China.

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Severe Acute Malnutrition (SAM) is a serious public health problem in many low- and middle-income countries (LMICs). Therapeutic programs are often considered the most effective solution to this problem. However, multiple social and structural factors challenge the social inclusion, sustainability, and effectiveness of such programs.

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This study accesses the impact of lady health worker (LHWs) visits in the community and distance to a healthcare facility on the nutritional status of under-five children. Additionally, it explores the perceptions and attitudes of the community about the performance of LHWs. A self-administered instrument was applied to gather data on different parameters, such as children's height, age, weight, and socioeconomic status from 384 rural households in a marginalized district of Punjab province with the help of a purposive random sampling technique.

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Livestreaming e-commerce has emerged as a highly profitable e-commerce that has revolutionized the retail industry, especially during the COVID-19 pandemic. However, research on livestreaming e-commerce is still in its infancy. This study sheds new light on impulsive purchase behavior in livestreaming e-commerce.

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