It is relatively well accepted that climate change can affect human pathogenic diseases; however, the full extent of this risk remains poorly quantified. Here we carried out a systematic search for empirical examples about the impacts of ten climatic hazards sensitive to greenhouse gas (GHG) emissions on each known human pathogenic disease. We found that 58% (that is, 218 out of 375) of infectious diseases confronted by humanity worldwide have been at some point aggravated by climatic hazards; 16% were at times diminished. Empirical cases revealed 1,006 unique pathways in which climatic hazards, via different transmission types, led to pathogenic diseases. The human pathogenic diseases and transmission pathways aggravated by climatic hazards are too numerous for comprehensive societal adaptations, highlighting the urgent need to work at the source of the problem: reducing GHG emissions. 

/pdf/over-half-of-known-human-pathogenic-diseases-can-be-13lf5kcl.pdf

Over half of known human pathogenic diseases can be aggravated by climate change

Determinants of renewable energy consumption: Importance of democratic institutions

The impact of tourism, renewable energy, and economic growth on ecological footprint and natural resources: A panel data analysis

Fossil fuel-dependency has induced a trade-off between economic growth and environmental degradation across the developing nations in particular. Against this backdrop, this study aims to evaluate the impacts of renewable energy use on the ecological footprints in the context of four South Asian fossil fuel-dependent nations: Bangladesh, India, Pakistan, and Sri Lanka. The econometric analysis involves the use of recently developed methods that account for cross-sectional dependency, slope heterogeneity, and structural break issues in the data. The results reveal that renewable energy consumption reduces the ecological footprints while nonrenewable energy use boosts the ecological footprints. The results also confirm the validity of the environmental Kuznets curve and pollution haven hypotheses for the panel of the South Asian nations. Besides, foreign direct investment inflows are found to degrade the environment while higher institutional quality improves it. Furthermore, unidirectional causalities are run from overall energy use, economic growth, and institutional quality to ecological footprints. At the same time, bidirectional associations between foreign direct investment inflows and ecological footprints are also ascertained. The overall findings highlight the pertinence of reducing fossil fuel-dependency, enhancing economic growth, restricting dirty foreign direct investment inflows, and improving institutional quality to ensure environmental sustainability across South Asia.

Renewable Energy Use and Ecological Footprints Mitigation: Evidence from Selected South Asian Economies

Modeling the impact of energy abundance on economic growth and CO2 emissions by quantile regression: Evidence from China

Potential of renewable energy, agriculture, and financial sector for the economic growth: Evidence from politically free, partly free and not free countries

The COVID-19 pandemic affected the everyday life of human beings. This study investigates the impact of COVID-19 on six socio-economic dimensions (i.e., food availability, food quality, education, finance, non-payment of utility bills, and sale of assets/goods) in Punjab, Pakistan. Three districts were selected from Punjab province based on two criteria such as (a) geographical variability and (b) intensity of COVID-19. Thus, a total of 1200 respondents were interviewed via convenience sampling from selected Punjab districts (i.e., Faisalabad, Muzaffargarh, and Chakwal). Descriptive statistics showed that most respondents face the adverse socio-economic effects of COVID-19. However, the percentage of strongly agree/ agree was comparatively more for low-educated respondents, while it was comparatively less for high-educated respondents. The percentage of strongly agree/agree comparatively more for low-income respondents, while it was comparatively less for high-income respondents. The percentage of strongly agree/agree comparatively more for private job holders while it was comparatively less for public job holders. The percentage of strongly agree/agree comparatively more for urban households, while it was comparatively less for rural households. The percentage of strongly agree/agree comparatively more in Chakwal while it was comparatively less in Faisalabad. The chi-square () independence test showed a significant role of education, family income, job type, and area of residence on the socio-economic impacts of COVID-19. Therefore, it is recommended to increase educational opportunities and educational standards. Developing a Learning Management System is also suggested to continue education in emergencies. It is recommended to increase the family income through an increase in investment and employment opportunities. The protection of private-sector employees is necessary during the pandemic situation. The government should provide interest-free loans to businesses during an emergency. The government should ensure the vaccination of citizens to control the spread and intensity of the disease. Training of doctors and paramedical staff is necessary to perform duties during the pandemic.

The Socio-Economic Impact of COVID-19 on Households in Punjab, Pakistan

This study was designed to investigate the impact of meteorological indicators (temperature, rainfall, and humidity) on total COVID-19 cases in Pakistan, its provinces, and administrative units from March 10, 2020, to August 25, 2020. The correlation analysis showed that COVID-19 cases and temperature showed a positive correlation. It implies that the increase in COVID-19 cases was reported due to an increase in the temperature in Pakistan, its provinces, and administrative units. The generalized Poisson regression showed that the rise in the expected log count of COVID-19 cases was 0.024 times for a 1 °C rise in the average temperature in Pakistan. Second, the correlation between rainfall and COVID-19 cases was negative in Pakistan. However, the regression coefficient between the expected log count of COVID-19 cases and rainfall was insignificant in Pakistan. Third, the correlation between humidity and the total COVID-19 cases was negative, which implies that the increase in humidity is beneficial to stop the transmission of COVID-19 in Pakistan, its provinces, and administrative units. The reduction in the expected log count of COVID-19 cases was 0.008 times for a 1% increase in the humidity per day in Pakistan. However, humidity and COVID-19 cases were positively correlated in Sindh province. It is required to create awareness among the general population, and the government should include the causes, symptoms, and precautions in the educational syllabus. Moreover, people should adopt the habit of hand wash, social distancing, personal hygiene, mask-wearing, and the use of hand sanitizers to control the COVID-19.

/pdf/association-between-meteorological-indicators-and-covid-19-1baey9tvk1.pdf

Association between meteorological indicators and COVID-19 pandemic in Pakistan.

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Papers

Potential of renewable energy, agriculture, and financial sector for the economic growth: Evidence from politically free, partly free and not free countries

The Socio-Economic Impact of COVID-19 on Households in Punjab, Pakistan

Association between meteorological indicators and COVID-19 pandemic in Pakistan.