Towards a clean production by exploring the nexus between agricultural ecosystem and environmental degradation using novel dynamic ARDL simulations approach

Hossain, Md. Emran; Islam, Md. Sayemul; Sujan, Md. Hayder Khan; Tuhin, Md. Mifta-Ul-Jannat; Bekun, Festus Victor

doi:10.1007/s11356-022-19565-5

Cited by 40 publications

(15 citation statements)

References 42 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Furthermore, we compared the F-statistic value to the critical values at 1%, 5%, and 10% significance levels. If the F-statistic value surpasses the critical values, the long-run association can be ascertained [59].…”

Section: Econometric Methodologymentioning

confidence: 99%

Can Energy Efficiency Help in Achieving Carbon-Neutrality Pledges? A Developing Country Perspective Using Dynamic ARDL Simulations

et al. 2022

Self Cite

View full text Add to dashboard Cite

The current research sheds light on the nexus between environmental degradation as proxied by carbon dioxide emissions (CO2), energy efficiency (EE), economic growth, manufacturing value-added (MVA), and the interaction effect of EE and MVA in India. Using yearly data from 1980 to 2019, the current study employs dynamic auto-regressive distribution lag (DARDL) simulations and Fourier Toda and Yamamoto causality techniques. The findings of DARDL reveal that as income and MVA rise, environmental quality decreases, while EE improves environmental conditions in both the long and short run. Surprisingly, the interaction term of EE and MVA has a detrimental influence on environmental quality, meaning that India remains unable to provide energy savings technologies to the manufacturing industry. Furthermore, the environmental Kuznets curve (EKC) hypothesis is well-founded for India, as the long-run income coefficient is smaller than the short-run coefficient, implying that India is in its scale stage of economy, where economic growth is prioritized over environmental quality. The results of the causality technique reveal that CO2 emissions and EE have a bidirectional association. Therefore, policymakers in India should embrace realistic industrialization strategies combined with moderate decarbonization and energy efficiency initiatives under the umbrella of sustainable industrial and economic growth.

show abstract

Section: Econometric Methodologymentioning

confidence: 99%

Can Energy Efficiency Help in Achieving Carbon-Neutrality Pledges? A Developing Country Perspective Using Dynamic ARDL Simulations

et al. 2022

Self Cite

View full text Add to dashboard Cite

show abstract

“…For example, Dagher and Harajli, (2015) used the Tobit model to analyze the relationship between Lebanese people's willingness-to-pay for new energy electricity and the social economy. Hossain et al (2022) used the ARDL boundary test method to study the relationship between severe environmental problems caused by chemical energy and the necessity of using new energy. Masrahi et al (2021) used the research model of TPB to find the sensitivity of CNEP to the willingness to use new energy was significantly positively correlated.…”

Section: Discussionmentioning

confidence: 99%

A Pilot Assessment of New Energy Usage Behaviors: The Impacts of Environmental Accident, Cognitions, and New Energy Policies

Zhang¹,

Huang²

2022

Front. Environ. Sci.

View full text Add to dashboard Cite

Literature reviews and interviews with experts showed that new energy would be the future way of life instead of traditional energy. In this study, a questionnaire survey and SPSS model are used to examine the impacts on people’s new energy usage behavior (NEUB) by its cognitions of energy-related environmental accidents (CEREA) and new energy policies (CNEP), as well as other important factors affecting this behavior. The new energy usage behavior examines people’s new energy usage behavior of product usage (NEUBPU) and forecasted payment (NEUBFP). Among the influencing factors, people’s cognitions of energy-related environmental accidents (CEREA), people’s cognitions of new energy policies (CNEP), new energy characteristics (CNEC), new energy advantages (CNEA), and new energy disadvantages (CNED) are examined, and the influence of personal factors on NEUB is also examined. People’s new energy usage behavior of new energy stove (NEUBNES), new energy car (NEUBNEC), and NEUBFP are significantly positively correlated with CNEP; NEUBNEC is significantly positively correlated with CNEA, and NEUBFP is significantly positively correlated with CNEP and CNED. CNEC and CNEP significantly influence people’s new energy usage behavior of household photovoltaic system (NEUBHPS); CNEP significantly influences NEUBNES; age, monthly income, CNEA, and CNEP significantly influence NEUBNEC; age, monthly income, and CNEP significantly influence NEUBFP.

show abstract

“…and farmers' living habits in the Danjiangkou Reservoir area showed that farmers' cognition is affected by factors such as their educational level and political outlook. The influence of farmers' awareness of organic fertilizer, excessive application of chemical fertilizers, and agricultural non-point source pollution on their willingness to control is a negative standardized path, which is mainly related to the fact that farmers in the study area pay attention to economic interests and ignore the environment [5][6].…”

Section: Research On the Behavior Of Farmersmentioning

confidence: 99%

Agricultural Pollution Visualization under Multilevel Grid

2022

AJEB

View full text Add to dashboard Cite

At present, the pollution of rural industries is serious, the development of rural industries is more harmful to the rural environment and agricultural resources, and the sustainable, healthy and stable development of rural areas is threatened. This paper aims to study the visualization of agricultural pollution under the multi-level grid. The research of this paper starts from sorting out the theories related to the rural environment, summarizes and analyzes the survey results of the current situation of rural industrial pollution, and summarizes the reasons for the increasing rural industrial pollution on the basis of the investigation and analysis of the damage to farmers' environmental rights. and in-depth analysis. On the basis of previous research, this paper takes discourse analysis and social network analysis as the theoretical support, and uses the visualization method as the method for presenting the analysis results. On the basis of understanding the pollution situation of agricultural waste discharge, emission intensity, pollution sources, etc., analyze the factors affecting farmers' pollution behavior and willingness to pay, and put forward some suggestions for residents' life, management measures, livestock and poultry, aquaculture, agricultural production, etc. Experiments have shown that the annual COD pollution factor in a certain province has been greatly reduced to about 1.4 million tons in recent years.

show abstract

Towards a clean production by exploring the nexus between agricultural ecosystem and environmental degradation using novel dynamic ARDL simulations approach

Cited by 40 publications

References 42 publications

Can Energy Efficiency Help in Achieving Carbon-Neutrality Pledges? A Developing Country Perspective Using Dynamic ARDL Simulations

Can Energy Efficiency Help in Achieving Carbon-Neutrality Pledges? A Developing Country Perspective Using Dynamic ARDL Simulations

A Pilot Assessment of New Energy Usage Behaviors: The Impacts of Environmental Accident, Cognitions, and New Energy Policies

Agricultural Pollution Visualization under Multilevel Grid

Contact Info

Product

Resources

About