globalchange  > 气候变化事实与影响
DOI: 10.3390/app9081692
WOS记录号: WOS:000467316400177
论文题名:
The Causal Connection between CO2 Emissions and Agricultural Productivity in Pakistan: Empirical Evidence from an Autoregressive Distributed Lag Bounds Testing Approach
作者: Rehman, Abdul1; Ozturk, Ilhan2; Zhang, Deyuan1
通讯作者: Rehman, Abdul
刊名: APPLIED SCIENCES-BASEL
EISSN: 2076-3417
出版年: 2019
卷: 9, 期:8
语种: 英语
英文关键词: Pakistan ; agriculture production ; CO2 emission ; climate change ; energy use ; food grains
WOS关键词: GREENHOUSE-GAS EMISSIONS ; RENEWABLE ENERGY-CONSUMPTION ; ECONOMIC-GROWTH ; CARBON-DIOXIDE ; GRANGER CAUSALITY ; TIME-SERIES ; SECTOR ; MITIGATION ; CHINA ; COINTEGRATION
WOS学科分类: Chemistry, Multidisciplinary ; Materials Science, Multidisciplinary ; Physics, Applied
WOS研究方向: Chemistry ; Materials Science ; Physics
英文摘要:

The rapid agricultural development and mechanization of agronomic diligence has led to a significant growth in energy consumption and CO2 emission. Agriculture has a dominant contribution to boosting the economy of any country. In this paper, we demonstrate carbon dioxide emissions' association with cropped area, energy use, fertilizer offtake, gross domestic product per capita, improved seed distribution, total food grains and water availability in Pakistan for the period of 1987-2017. We employed Augmented Dickey-Fuller and Phillips-Perron unit root tests to examine the variables' stationarity. An autoregressive distributed lag (ARDL) bounds testing technique to cointegration was applied to demonstrate the causality linkage among study variables from the evidence of long-run and short-run analyses. The long-run evidence reveals that cropped area, energy usage, fertilizer offtake, gross domestic product per capita and water availability have a positive and significant association with carbon dioxide emissions, while the analysis results of improved seed distribution and total food grains have a negative association with carbon dioxide emissions in Pakistan. Overall, the long-run effects are stronger than the short-run dynamics, in terms of the impact of explanatory variables on carbon dioxide emission, thus making the findings heterogeneous. Possible initiatives should be taken by the government of Pakistan to improve the agriculture sector and also introduce new policies to reduce the emissions of carbon dioxide.


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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/134005
Appears in Collections:气候变化事实与影响

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作者单位: 1.Anhui Univ, Res Ctr Agr Rural Peasants, Hefei 230039, Anhui, Peoples R China
2.Cag Univ, Fac Econ & Adm Sci, TR-33800 Mersin, Turkey

Recommended Citation:
Rehman, Abdul,Ozturk, Ilhan,Zhang, Deyuan. The Causal Connection between CO2 Emissions and Agricultural Productivity in Pakistan: Empirical Evidence from an Autoregressive Distributed Lag Bounds Testing Approach[J]. APPLIED SCIENCES-BASEL,2019-01-01,9(8)
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