Asymmetrical ARDL correlation between fossil fuel energy, food security, and carbon emission: providing fresh information from Pakistan

Naseem, Snovia; Kashif, Umair

doi:10.1007/s11356-020-09346-3

Cited by 44 publications

(14 citation statements)

References 69 publications

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“…However, numerous studies established the positive link between agriculture and CO 2 emissions, which supports our finding. For example, Sarkodie and Owusu (2016), Liu et al ( 2017 ), Jebli and Youssef ( 2017a ), Doğan ( 2018 ), Gokmenoglu and Taspinar ( 2018 ), Waheed et al ( 2018 ), Ullah et al ( 2018 ), Agboola and Bekun ( 2019 ), Balsalobre-Lorente et al ( 2019 ), Burakov ( 2019 ), Qiao et al ( 2019 ), Gokmenoglu et al ( 2019 ), Aydoğan and Vardar ( 2020 ), Olanipekun et al ( 2019 ), Aziz et al ( 2020 ), Naseem et al ( 2020 ) and Pata ( 2021 ). In addition, the present study reveals unidirectional causality from agriculture to CO 2 emissions, which is in line with the findings by Burakov ( 2019 ) and Naseem et al ( 2020 ).…”

Section: Discussionmentioning

confidence: 99%

“…The findings by Naseem et al ( 2020 ) revealed that agriculture value-added has a significant positive impact on the CO 2 emissions in Pakistan. In addition, Naseem et al ( 2020 ) found unidirectional causality running from agriculture to CO 2 emissions. Ullah et al ( 2018 ) performed ARDL, Johansen-cointegration test, and Granger causality test by using the data from 1972 to 2014.…”

Section: Literature Reviewmentioning

confidence: 98%

“…By performing FMOLS, Maki cointegration, and Toda-Yamamoto causality tests for Pakistan from 1971 to 2014, Gokmenoglu and Taspinar ( 2018 ) reported that agriculture deteriorates environmental quality, and there is bidirectional causality between agriculture and CO 2 emissions. Naseem et al ( 2020 ) examined the asymmetrical impact of agriculture on CO 2 emissions in Pakistan from 1969 to 2018 by utilizing the NARDL approach. The findings by Naseem et al ( 2020 ) revealed that agriculture value-added has a significant positive impact on the CO 2 emissions in Pakistan.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Naseem et al ( 2020 ) examined the asymmetrical impact of agriculture on CO 2 emissions in Pakistan from 1969 to 2018 by utilizing the NARDL approach. The findings by Naseem et al ( 2020 ) revealed that agriculture value-added has a significant positive impact on the CO 2 emissions in Pakistan. In addition, Naseem et al ( 2020 ) found unidirectional causality running from agriculture to CO 2 emissions.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Moreover, CO 2 emissions and climate change were connected to agriculture, one of the main drivers of environmental deterioration, and deemed ultrasensitive to climate change (Seo 2016 ; Naseem et al 2020 ). The Agriculture, Forestry and Other Land Use (AFOLU) sector are responsible for about one-fifth of the global annual CO 2 emissions, which is the second-largest CO 2 emission source and is a major contributor to global climate change (IPCC 2014 ).…”

Section: Introductionmentioning

confidence: 99%

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Dynamic impacts of energy use, agricultural land expansion, and deforestation on CO2 emissions in Malaysia

et al. 2022

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This study empirically investigates the nexus among energy use, agricultural land expansion, deforestation, and carbon dioxide (CO 2 ) emissions in Malaysia. Time series data from 1990 to 2019 were utilized using the bounds testing (ARDL) approach followed by the Dynamic Ordinary Least Squares (DOLS) method. The DOLS estimate findings show that the energy usage coefficient is positive and significant with CO 2 emissions, indicating a 1% increase in energy consumption is related to a 0.91% rise in CO 2 emissions. In addition, the coefficient of agricultural land is positive, which indicates that agricultural land expansion by 1% is associated with an increase in CO 2 emissions by 0.84% in the long run. Furthermore, the forested area coefficient is negative, which means that decreasing 1% of the wooded area (i.e., deforestation) has a long-term effect of 5.41% increased CO 2 emissions. Moreover, the pairwise Granger causality test results show bidirectional causality between deforestation and energy use; and unidirectional causality from energy use to CO 2 emissions, agricultural land expansion to CO 2 emissions, deforestation to CO 2 emissions, agricultural land expansion to energy use, and deforestation to agricultural land expansion in Malaysia. The empirical findings reveal that increased energy use, agricultural land expansion, and deforestation have a negative impact on environmental quality in Malaysia. Thus, the effective implementation of policy measures to promote renewable energy, climate-smart agriculture, and sustainable management of forest ecosystems could be useful for reducing environmental degradation in Malaysia.

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