The impact of agriculture on CO2 emissions in China
Author(s) -
Nezahat Doğan
Publication year - 2017
Publication title -
panoeconomicus
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.289
H-Index - 14
eISSN - 2217-2386
pISSN - 1452-595X
DOI - 10.2298/pan160504030d
Subject(s) - cointegration , agriculture , kuznets curve , distributed lag , economics , greenhouse gas , econometrics , autoregressive model , china , energy consumption , environmental science , natural resource economics , agricultural economics , geography , ecology , archaeology , biology
This study empirically analyses the long-term relationship between agricultural production and carbon dioxide emissions in China by using annual data covering 1971-2010. In estimating the relationship between agriculture and CO2 emissions, the study also includes real income and energy consumption as variables in the model, in line with the EKC hypothesis. To identify the existence of a long-term relationship between CO2 emissions and agriculture, the bounds test approach for cointegration and autoregressive distributed lag (ARDL) methods are used. To determine the robustness of the results, other single-equation cointegration methods such as FMOLS, DOLS, and CCR are also estimated. The results confirm cointegration among variables and the presence of an inverse U-shaped agriculture-induced EKC curve for China. Agriculture increases a country’s long-term CO2 emissions. The government, policymakers, and agricultural producers should set strategies covering energy-intensive economic activities, including agriculture, to solve environmental problems. Key words: Agriculture, CO2 emissions, Cointegration, China.JEL: O13, Q53, O44. Uticaj poljoprivrede na emisije CO2 u Kini U radu se empirijski analizira dugorocnu vezu između poljoprivredne proizvodnje i emisije ugljenog dioksida (CO2) u Kini koriscenjem godisnjih podataka koji pokrivaju 1971-2010. U proceni odnosa između poljoprivrede i emisije CO2, istraživanje ukljucuje realne prihode i potrosnju energije kao varijable u model, u skladu sa hipotezom Kuznetsove krive (EKC). Da bi se utvrdilo postojanje dugorocne veze između emisije CO2 i poljoprivrede, koristi se pristup testiranja granica za metode kointegracije i autoregresivnog modela sa distributivnim vremenskim pomakom (ARDL). Kako bi se odredila robusnost rezultata, procenjuju se i druge metode kointegracije sa jednom jednacinom kao sto su potpuno modifikovani najmanji kvadrati (FMOLS), dinamicki obicni najmanji kvadrati (DOLS) i kanonska kointegraciona regresija (CCR). Rezultati potvrđuju kointegracionu vezu između varijabli i prisutnost inverzne U-krive EKC za Kinu indukovane poljoprivredom. Poljoprivreda povecava dugorocnu emisiju CO2 u zemlji. Vlada, kreatori politike i poljoprivredni proizvođaci trebaju postaviti strategije koje pokrivaju energetski intenzivne ekonomske aktivnosti, ukljucujuci poljoprivredu, za resavanje ekoloskih problema. Kljucne reci: Poljoprivreda, emisija CO2, kointegracija, Kina.
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