The impact of agriculture on CO2 emissions in China

Doğan, Nezahat

doi:10.2298/pan160504030d

Cited by 68 publications

(26 citation statements)

References 17 publications

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“…This case is observed in most developing economics in the scale-effect stage. These outcomes have been proven severally in the literature for the case of Turkey (Gökmenoğlu &Taspina, 2016), for the case of China (Doğan, 2018). Additionally, the same pattern was affirmed for the case of Pakistan in the studies of (Gökmenoğlu &Taspina, 2018).…”

Section: Empirical Results Interpretation and Discussionmentioning

confidence: 52%

“…(1) Equation (1) provides the basic conceptual framework for investigating the theme under consideration and is based on (Gökmenoğlu & Taspina, 2018). Equation 1is augmented with agriculture to examine the agriculture-induced EKC for the case of Nigeria.This study uses agricultural value added as share GDP which previous studies like ( Gokemnoglu and Taspina, 2018;Doğan, 2018, Ullah et al,2018Doğan,2016) adopted. This study further improves on Gökmenoğlu and Taspina (2018) for the case of Pakistan and a similar study by Shahbaz et al (2014) for Tunisia.…”

Section: Data Description and Sourcementioning

confidence: 99%

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Does agricultural value added induce environmental degradation? Empirical evidence from an agrarian country

Agboola

Bekun

2019

Environ Sci Pollut Res

110

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This study empirically investigates the agriculture-induced environmental Kuznets curve (EKC) hypothesis in an agrarian framework. Annual time series data from 1981-2014 was employed using Augmented Dickey-Fuller and the Phillips-Perron (PP) unit root test complemented by the Zivot and Andrews unit root test that accounts for a single structural break to ascertain stationarity properties of variables under consideration. For the cointegration analysis, an autoregressive distributive lag methodology and the recent novel Bayer and Hanck combined cointegration technique is employed. For the direction of causality, the Granger causality test is used as estimation technique. Empirical findings lend support for the long-run equilibrium relationship among the variables under consideration. This study also validates the inverted U-shaped pattern of EKC for the case of Nigeria, affirming that Nigeria remains at the scale-effect stage of its growth trajectory. Further empirical results show that foreign direct investment attraction helps mitigate carbon emissions in Nigeria. Based on these results, several policy prescriptions on the Nigerian energy mix and agricultural operations in response to quality of the environment were suggested for policymakers, stakeholders, and environmental economists that formulate and design environmental regulations and strategies to realise the Goal 7 of sustainable development goals (SDGs).

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Section: Empirical Results Interpretation and Discussionmentioning

confidence: 52%

Section: Data Description and Sourcementioning

confidence: 99%

Does agricultural value added induce environmental degradation? Empirical evidence from an agrarian country

Agboola

Bekun

2019

Environ Sci Pollut Res

110

View full text Add to dashboard Cite

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“…Recent studies have been performed with various econometric methods to investigate the effects of agriculture on environmental degradation. Doğan ( 2018 ) utilized ARDL, FMOLS, DOLS, and CCR techniques to explore the relationship between agricultural production and CO 2 emissions in China by using annual data covering1971-2010. The findings from Doğan ( 2018 ) revealed that agriculture increases a country’s long term CO 2 emissions.…”

Section: Literature Reviewmentioning

confidence: 99%

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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“…According to this study, the connection between both variables was inverted U-shaped. Doğan (2018) reports that in the long-term GDP, increases in carbon emissions decrease. According to the findings of (Anastacio, 2017), GDP squared positively and negatively impacts economic growth and approves the EKC theory.…”

Section: Resultsmentioning

confidence: 99%

The Effect of Economic Growth, Foreign Direct Investment, and Energy Use on Environment Degradation: Evidenced from ASEAN Nations

Sultana

Raza

Rana

et al. 2021

Pak. J. Humanit. Soc. Sci

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Literature evidenced that environmental degradation creates hurdles in economic development. So, this study highlights the leading macroeconomic indicators which affect the environment and investigates the nexus among FDI, energy utilization, economic development, and environmental pollution for ASEAN nations from 1990 to 2018. Panel Autor Regressive Distributive lag (ARDL) methodology is used to examine the impact of economic growth, foreign direct investment and energy use on environment degradation. Different panel unit roots (Im, Pesaran and Shin W-stat, Levin, Lin & Chu, ADF - Fisher Chi-square, PP - Fisher Chi-square) tests are applied to confirm the intergradation order, and results confirm that there exits I (0) and I(1) order of intergradation. There exists a unidirectional relationship between energy consumption and carbon emission of CO2 and CO2 to foreign direct investment in the long run. While in the short run, there does not exist any relationship. The results confirm the existence EKC hypothesis, which confirms there exits negative and positive effects of GDP and square of GDP on carbon emission. Hence this study concludes that its essential to develop some strategies and policies to guarantee economic stability. Additionally, reliable and sustainable power resources should be used for positive environmental changes. The carbon dioxide emission should be reduced for the GDP growth by utilizing different eco-technologies and renewable energy resources, which can nullify the effect of emission of CO2 to maintain the greenhouse environment.

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The impact of agriculture on CO2 emissions in China

Cited by 68 publications

References 17 publications

Does agricultural value added induce environmental degradation? Empirical evidence from an agrarian country

Does agricultural value added induce environmental degradation? Empirical evidence from an agrarian country

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

The Effect of Economic Growth, Foreign Direct Investment, and Energy Use on Environment Degradation: Evidenced from ASEAN Nations

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