In recent years, rising carbon dioxide (CO2) emissions and other negative environmental effects of human activity have raised concerns about the planet's future. Rapid industrialization, urbanization, and economic activity have shown a surge in CO2 emissions, contributing to global warming and climate change. The main purpose of this study is to examine the impact of such as gross domestic product, gross domestic product square, foreign direct investment, environmental diplomacy, environmental diplomacy security, and renewable energy consumption on environmental degradation.
View Article and Find Full Text PDFThe primary purpose of this research is to examine the impact of climate change on maize production in Pakistan. This research studied the impact of climate change on maize production in Pakistan from 1990 to 2020 using the Auto Regressive Distributed Lag (ARDL) technique and draws implications for the future of Pakistan's sustainable agricultural industry. According to ARDL's short-run and long-run analyses, variables such as average temperature (AVEGTP), carbon dioxide (CO2), precipitation (PRPT), and tube well irrigation (TWL) all have a significant short-run and long-run impact on maize yield at the 1 %, 5 %, and 10 % significance levels.
View Article and Find Full Text PDFIt is essential to identify consumer purchase behavior to establish and implement effective marketing strategies by Western food chains in Pakistan. By identifying motives, firms can offer extra-value products to their current and potential clients. Thus, this study seeks to understand what drives Pakistani consumers to buy imported Western food.
View Article and Find Full Text PDFEnviron Sci Pollut Res Int
March 2023
Environmental sustainability is becoming a crucial objective in this modern era. To attain this objective, it is important to reduce CO2 emissions for ensuring sustainable development. This study examined the nonlinear impact of government and household expenditures on CO2 emissions in China during 1984-2019.
View Article and Find Full Text PDFThe work cognition of public employees lays importance on tackling an escalating health crisis situation. At the micro-level and macro-level, different factors contribute to different degrees of public employees' work cognition. However, there are limited studies examining the work cognition of public employees and its influencing factors, particularly in situations such as a public health crisis.
View Article and Find Full Text PDFFertilization is a way to better use nitrogen fertilizers and increase productivity, but in another way, fertilization is also a source of anthropogenic greenhouse gas emissions. The study was carried out to measure the profitability ratio, technical efficiency, and CO from the top dressing (TD) and deep placement (DP) fertilization. The study was based on primary data, which were collected from different respondents and areas through a well-designed questionnaire.
View Article and Find Full Text PDFThis study contributes to the empirical literature by analyzing the dynamic impacts of insurance sector development on CO emissions of emerging economies for the period of 1991-2018. By using the nonlinear autoregressive distributed lag (NARDL) approach, our findings show that increased life insurance sector development significantly reduces CO emissions of Russia, China and South Africa and decreased life insurance sector development significantly enhances CO emissions of Russia only. While China and South Africa have also reduced CO emissions due to the negative shock of life insurance sector development in the long run.
View Article and Find Full Text PDFEnviron Sci Pollut Res Int
August 2021
The foremost theme of the paper is to explore the asymmetric/symmetric impact of energy consumption on the carbon dioxide emission of G7 countries (Germany, Canada, USA, Italy, France, Italy, UK, and Japan). The nonlinear autoregressive distributed lag is used to measure asymmetric/symmetric cointegration by using annual data of G7 countries from 1965 to 2019. The augmented Dickey-Fuller and structural break unit root test is employed to measure the stationarity in variables while the Brock, Dechert, and Scheinkman test is used for measuring nonlinearity and the Wald test is used to figure out short- and long-run asymmetries/symmetries, respectively.
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