• Energy Research
• 1. No poverty close
• 3. Good health close
• PK close
• FI close
• COMSATS University Islamabad close

Abstract This paper investigates the impact of urbanization on energy consumption by applying the Stochastic Impacts by Regression on Population, Affluence and Technology (STIRPAT) in case of Malaysia. The study covers the time period of 1970Q1–2011Q4. The unit root test and the ARDL bounds testing approach have been applied to examine integrating properties and long run relationship in the presence of structural breaks. Our results validated the existence of cointegration and exposed that urbanization is a major contributor in energy consumption. Affluence raises energy demand. Capital stock boosts energy consumption. Trade openness leads to affluence and hence increases energy consumption. The causality analysis finds that urbanization Granger causes energy consumption. The feedback effect is found between energy consumption and affluence and, energy consumption and capital. The bidirectional causality exists between trade openness and energy consumption.

Environmental quality indicators are crucial for responsive and cost-effective policies. The objective of the study is to examine the relationship between environmental quality indicators and financial development in Malaysia. For this purpose, the number of environmental quality indicators has been used, i.e., air pollution measured by carbon dioxide emissions, population density per square kilometer of land area, agricultural production measured by cereal production and livestock production, and energy resources considered by energy use and fossil fuel energy consumption, which placed an impact on the financial development of the country. The study used four main financial indicators, i.e., broad money supply (M2), domestic credit provided by the financial sector (DCFS), domestic credit to the private sector (DCPC), and inflation (CPI), which each financial indicator separately estimated with the environmental quality indicators, over a period of 1975-2013. The study used the generalized method of moments (GMM) technique to minimize the simultaneity from the model. The results show that carbon dioxide emissions exert the positive correlation with the M2, DCFC, and DCPC, while there is a negative correlation with the CPI. However, these results have been evaporated from the GMM estimates, where carbon emissions have no significant relationship with any of the four financial indicators in Malaysia. The GMM results show that population density has a negative relationship with the all four financial indicators; however, in case of M2, this relationship is insignificant to explain their result. Cereal production has a positive relationship with the DCPC, while there is a negative relationship with the CPI. Livestock production exerts the positive relationship with the all four financial indicators; however, this relationship with the CPI has a more elastic relationship, while the remaining relationship is less elastic with the three financial indicators in a country. Energy resources comprise energy use and fossil fuel energy consumption, both have distinct results with the financial indicators, as energy demand have a positive and significant relationship with the DCFC, DCPC, and CPI, while fossil fuel energy consumption have a negative relationship with these three financial indicators. The results of the study are of value to both environmentalists and policy makers.

Globalization has resulted in several technical advancements, including the ability to connect people all over the world and drive the economies with higher agricultural output. With agricultural productivity expanding quickly, the negative impact of globalization on environmental degradation is being disregarded. Rapid agricultural expansion and globalization have resulted in significant increases in energy consumption and CO2 emissions. The primary purpose of this research is to assess the role of Pakistan’s massive agriculture industry in encouraging or discouraging CO2 emissions under Globalization scenario. Therefore, we applied Non-linear Autoregressive Distributive Lag Nonlinear Autoregressive Distributed Lag model from 1971 to 2021. Our results showed that in presence of globalization, agricultural production shows asymmetries in case of positive and negative shocks. A positive shock in Agricultural production increased the CO2 emissions while negative shock in agricultural production decreased CO2 emissions. Furthermore, GDP, energy consumption and economic globalization have positive association with economic globalization while on the other hand, surprisingly trade and urbanization in the presence of globalization have negative association with CO2 emissions. Environmental deterioration due to greenhouse emissions causes climatic variation in the economy and several mitigation strategies are required on sustainable basis in Pakistan. So, our study recommends that farmers of Pakistan should adopt organic farming this will help to reduce CO2 emissions.

This paper presents a general decentralized energy generation optimization model for developing countries. A mixed integer nonlinear programming model has been formulated and implemented, representing decisions regarding (1) the optimal number, locations, and sizes of various types of processing plants, (2) the amounts of biomass transported, and electricity to be transmitted between the selected locations over a selected period, and minimizes the objective function of overall generation cost. The model has been applied first for designing a decentralized energy generation system using palm oil biomass for Iskandar Malaysia region of the state of Johor, Malaysia and then extended to entire state. We investigated the benefits of more distributed types of processing networks, in terms of the overall economics and the robustness to demand variations. No change in designed decentralized energy generation system and distribution network was observed when the demand was lowered to 90%, 75% and 60% of original demand.

Abstract Like other developing countries, Pakistan is under severe economic pressure and striving to boost entrepreneurial orientation for achieving growth through minimal depletion of natural resources. In order to facilitate widespread and successful adoption of green entrepreneurial farming, it is crucial to address barriers inhibiting the uptake of green entrepreneurial activities in farming for the sustainability of natural resources as well as food provision. To this end, the present study aimed to investigate barriers in the adoption of green entrepreneurial farming in Pakistan. To fulfill the study objectives, after a comprehensive literature review and field visit, 34 barriers were identified. The results based on ranking analysis identified 20 out of 34 barriers as critical barriers to adoption of green entrepreneurial farming in the country. Furthermore, factor analysis was employed to group underlying 20 critical barriers into six major categories viz. 1) training and development-related barriers, 2) entrepreneurial orientation-related barriers, 3) market orientation-related barriers, 4) customer orientation-related barriers, 5) innovation orientation-related barriers, and 6) green supporting supplies-related barriers. Results showed that most dominant barrier among six groupings was training and development-related barriers and the marginal role of government in the provision of such endeavours. This implies that government needs to play a more active role in the adoption and promotion of green entrepreneurial farming in Punjab, Pakistan.

Chronic ethanol exposure causes neurotoxicity and long-term learning and memory impairment along with hippocampal and frontal cortical dysfunction. Flavonoids possess antioxidant and anti-inflammatory properties believed to be contributory factors in reversing cognitive decline. 6-Methoxyflavone (6-MOF), a flavonoid occurring naturally in medicinal plants, has been reported to instigate neuroprotection by reversing cisplatin-induced hyperalgesia and allodynia. Consequently, this study was designed to investigate 6-MOF activity in models of chronic ethanol-induced cognitive impairment along with neurochemical correlates.Mice were given ethanol orally (2.0 g/kg daily) for 24 days plus either saline, 6-MOF (25-75mg/kg) or donepezil (4mg/kg) and then ethanol was withdrawn for the next 6 days. Animals were subsequently assessed for their cognitive performance in several models on days 1, 12, and 24, during abstinence (Day-26) and on the 7th day of the washout period. Following behavioral assessment, post-mortem dopamine, noradrenaline and vitamin C concentrations were quantified in the frontal cortex, hippocampus and striatum, using HPLC with UV detection.Chronic ethanol treatment suppressed locomotor activity and impaired cognitive tasks, which included novel object recognition, performance in the Morris water maze as well as the Y-maze, socialization and nest-building behavior throughout the protocol and during withdrawal. These behavioral deficits were at least partially restored by the co-administration of 6-MOF or donepezil with ethanol as were ethanol-induced deficits in frontal cortical and hippocampal dopamine plus noradrenaline, together with striatal dopamine. 6-MOF co-administration with ethanol also modestly restored striatal vitamin C levels.It is postulated that, apart from donepezil, 6-MOF may be useful not only in the treatment of ethanol withdrawal severity but also in the management of chronic ethanol withdrawal induced cognitive impairment.

In terms of attaining the objectives of Sustainable Development Goals (SDGs), the Asian economies are considered as laggards, and one of the major problems faced by these economies is the issue of environmental degradation. For addressing this pertaining issue, a policy-level reorientation might be necessary. In this view, this study aims to explore the impact of urbanization, renewable energy consumption, financial development, agriculture, and economic growth on CO2 emissions in 15 Asian economies over 1990–2014. The empirical evidence demonstrates that urbanization, financial development, and economic growth increase CO2 emissions, renewable energy consumption reduces CO2 emissions, and the impact of agriculture is insignificant. Impulse response function and variance decomposition techniques are used to test the causality among the variables. Based on the study outcomes, a comprehensive SDG-oriented policy framework has been recommended, so that these economies can make progression toward attaining the objectives of SDG 13 and SDG 7. This study contributed to the literature by recommending this SDG-oriented policy framework, which encapsulates economic growth and its drivers.