The Impact of Agricultural Sector on Environmental Pollution: A Cointegration and Causality Analysis for Turkish Economy

被引:19
|
作者
Cetin, Murat [2 ]
Saygin, Selin [1 ]
Demir, Harun [1 ]
机构
[1] Tekirdag Namik Kemal Univ, SBE, Iktisat ABD, Tekirdag, Turkey
[2] Tekirdag Namik Kemal Univ, IIBF, Iktisat Bolumu, Tekirdag, Turkey
关键词
Agriculture; Carbon Dioxide emission; Structural break; ARDL; Turkey; CARBON-DIOXIDE EMISSIONS; RENEWABLE ENERGY-CONSUMPTION; CO2; EMISSIONS; KUZNETS CURVE; UNIT-ROOT; EKC HYPOTHESIS; TRADE OPENNESS; GROWTH; CHINA; NEXUS;
D O I
10.33462/jotaf.678764
中图分类号
S [农业科学];
学科分类号
09 ;
摘要
In recent years, environmental pollution and the accurate determination of the main factors affecting it are an important subject of investigation. The aim of this study is to explore the relationship between agricultural sector and environmental pollution in Turkey for the period of 1968-2016. There is no consensus on the empirical relationship between agricultural sector and environmental pollution in the literature. For this reason, the study both contributes to the literature and provides an important evidence for future studies. Agricultural value added and agricultural land are preferred as determinants of agriculture while carbon dioxide emission is used as a measure of environmental degradation. In addition, economic growth and renewable energy consumption are added to the models as other independent variables. In empirical analysis, the relationship between agriculture and environmental pollution is estimated by establishing two models. The methodology comprises of three stages. Firstly, the stationarity properties of the series are tested with conventional unit root tests such as DF-GLS and Ng-Perron. In addition, the stationarity levels of the series are investigated by Zivot-Andrews and Lee-Strazicich structural break unit root tests. Secondly, the cointegration between the series and long-run coefficients are estimated by the ARDL model. Lastly, the existence of causality between the series is determined by the Toda-Yamamoto test. The findings points out a cointegration between the underlying series. The findings also reveal that agricultural value added and agricultural land decrease carbon dioxide emission in the long run. The study supports that the environmental Kuznets curve (EKC) hypothesis is valid for the Turkish economy. It is found that agriculture causes carbon dioxide emission. Moreover, it is detected that agricultural value added and agricultural land are the causation of renewable energy consumption. Consequently, policy makers should attach more importance to the agricultural sector for sustainable economic development in Turkey. Additionally, the agricultural lands should be protected and encouraged for value added manufacturing. Thus, environmental pollution will tend to decrease.
引用
收藏
页码:329 / 345
页数:17
相关论文
共 50 条
  • [41] Trade openness, environmental regulation, and human capital in China: based on ARDL cointegration and Granger causality analysis
    Huaide Wen
    Jun Dai
    [J]. Environmental Science and Pollution Research, 2020, 27 : 1789 - 1799
  • [42] Trade openness, environmental regulation, and human capital in China: based on ARDL cointegration and Granger causality analysis
    Wen, Huaide
    Dai, Jun
    [J]. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2020, 27 (02) : 1789 - 1799
  • [43] Environmental Kuznets curve in an open economy: A bounds testing and causality analysis for Tunisia
    Shahbaz, Muhammad
    Khraief, Naceur
    Uddin, Gazi Salah
    Ozturk, Ilhan
    [J]. RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2014, 34 : 325 - 336
  • [44] Dynamic impact of interest rate volatility and spillover effect of the US interest rate on banking sector development of Turkey: empirical evidence from cointegration and causality analysis*
    Almahadin, Hamed Ahmad
    Tuna, Gulcay
    [J]. ASIA-PACIFIC JOURNAL OF ACCOUNTING & ECONOMICS, 2019, 26 (05) : 577 - 588
  • [45] An integrated specification for the nexus of water pollution and economic growth in China: Panel cointegration, long-run causality and environmental Kuznets curve
    Zhang, Chen
    Wang, Yuan
    Song, Xiaowei
    Kubota, Jumpei
    He, Yanmin
    Tojo, Junji
    Zhu, Xiaodong
    [J]. SCIENCE OF THE TOTAL ENVIRONMENT, 2017, 609 : 319 - 328
  • [46] The Relationship between Exchange Rate and Trade Balance in Turkish Economy: New Evidence from Fourier Cointegration Analysis
    Mike, Faruk
    Ozayturk, Gurcem
    Kizilkaya, Oktay
    [J]. SOSYOEKONOMI, 2022, 30 (52) : 313 - 331
  • [47] An Analysis of Environmental Efficiency and Environmental Pollution Treatment Efficiency in China's Industrial Sector
    Li, Xiao-Ning
    Feng, Ying
    Wu, Pei-Ying
    Chiu, Yung-Ho
    [J]. SUSTAINABILITY, 2021, 13 (05) : 1 - 25
  • [48] The Impact of Foreign Direct Investment on Financial Development: New Evidence from Panel Cointegration and Causality Analysis
    Majeed, Abdul
    Jiang, Ping
    Ahmad, Mahmood
    Khan, Muhammad Asif
    Olah, Judit
    [J]. JOURNAL OF COMPETITIVENESS, 2021, 13 (01) : 95 - 112
  • [49] The Nexus between Environmental Impact and Agricultural Sector Linkages: A Case Study of Pakistan
    Sajid, Muhammad Jawad
    Rahman, Muhammad Habib Ur
    [J]. ATMOSPHERE, 2021, 12 (09)
  • [50] Environmental impact of agricultural inorganic pollution on groundwater resources of the Kelantan Plain, Malaysia
    Ahmad, AR
    Zulkefli, M
    Ahmed, M
    Aminuddin, BY
    Sharma, ML
    Zain, MM
    [J]. AGRICULTURAL IMPACTS ON GROUNDWATER QUALITY, 1996, (61): : 8 - 21