Towards a clean production by exploring the nexus between agricultural ecosystem and environmental degradation using novel dynamic ARDL simulations approach

[1]  F. Bekun,et al.  Heading towards sustainable environment: exploring the dynamic linkage among selected macroeconomic variables and ecological footprint using a novel dynamic ARDL simulations approach , 2021, Environmental Science and Pollution Research.

[2]  I. Ozturk,et al.  Modeling the impact of climatic and non-climatic factors on cereal production: evidence from Indian agricultural sector , 2021, Environmental Science and Pollution Research.

[3]  Daniel Balsalobre-lorente,et al.  Exploring the impact of tourism and energy consumption on the load capacity factor in Turkey: a novel dynamic ARDL approach , 2021, Environmental Science and Pollution Research.

[4]  J. Tollefson IPCC climate report: Earth is warmer than it’s been in 125,000 years , 2021, Nature.

[5]  A. Alola,et al.  The environmental aspects of conventional and clean energy policy in sub-Saharan Africa: is N-shaped hypothesis valid? , 2021, Environmental Science and Pollution Research.

[6]  Md. Shahjahan Kabir,et al.  Doubling Rice Productivity in Bangladesh: A Way to Achieving SDG 2 and Moving Forward , 2021 .

[7]  Zhilun Jiao,et al.  How energy consumption, industrial growth, urbanization, and CO2 emissions affect economic growth in Pakistan? A novel dynamic ARDL simulations approach , 2021 .

[8]  M. Khan,et al.  Adoption of improved wheat management practices: An empirical investigation on conservation and traditional technology in Bangladesh , 2021 .

[9]  F. Adedoyin,et al.  Do energy use and economic policy uncertainty affect CO2 emissions in China? Empirical evidence from the dynamic ARDL simulation approach , 2021, Environmental Science and Pollution Research.

[10]  F. Bekun Mitigating Emissions in India: Accounting for the Role of Real Income, Renewable Energy Consumption and Investment in Energy , 2021 .

[11]  Muhammad Kamran Khan,et al.  The impact of oil prices on stock market development in Pakistan: Evidence with a novel dynamic simulated ARDL approach , 2020 .

[12]  Arif Ullah,et al.  Does the prevailing Indian agricultural ecosystem cause carbon dioxide emission? A consent towards risk reduction , 2020, Environmental Science and Pollution Research.

[13]  N. Leitão The relationship between carbon dioxide emissions and Portuguese agricultural productivity , 2018, Studies in Agricultural Economics.

[14]  Andrew Q. Philips,et al.  Cointegration Testing and Dynamic Simulations of Autoregressive Distributed Lag Models , 2018, The Stata Journal: Promoting communications on statistics and Stata.

[15]  Avik Sinha,et al.  Impact of energy mix on nitrous oxide emissions: an environmental Kuznets curve approach for APEC countries , 2018, Environmental Science and Pollution Research.

[16]  R. Rees,et al.  Nitrous Oxide Emissions Increase Exponentially When Optimum Nitrogen Fertilizer Rates Are Exceeded in the North China Plain. , 2018, Environmental science & technology.

[17]  Liu Shiping,et al.  Existing agricultural ecosystem in China leads to environmental pollution: an econometric approach , 2018, Environmental Science and Pollution Research.

[18]  C. Nanthakumar,et al.  Carbon Dioxide The Frontline Greenhouse Gas , 2018 .

[19]  Arif Ullah,et al.  Does agricultural ecosystem cause environmental pollution in Pakistan? Promise and menace , 2018, Environmental Science and Pollution Research.

[20]  F. Fasina,et al.  Greenhouse Gas Emissions and Health Outcomes in Nigeria: Empirical Insight from ARDL Technique , 2018 .

[21]  Nasrullah Khan,et al.  Review of GHG emissions in Pakistan compared to SAARC countries , 2017 .

[22]  C. Drury,et al.  Year‐Round Nitrous Oxide Emissions as Affected by Timing and Method of Dairy Manure Application to Corn , 2017 .

[23]  Dogan Nezahat Agriculture and Environmental Kuznets Curves in the case of Turkey: evidence from the ARDL and bounds test , 2016 .

[24]  G. Aye,et al.  Dynamic relationship among CO2 emission, agricultural productivity and food security in Nigeria , 2016 .

[25]  J. Singh,et al.  Cyanobacteria: A Precious Bio-resource in Agriculture, Ecosystem, and Environmental Sustainability , 2016, Front. Microbiol..

[26]  P. Strong,et al.  Biologically derived fertilizer: A multifaceted bio-tool in methane mitigation. , 2016, Ecotoxicology and environmental safety.

[27]  Phebe Asantewaa Owusu,et al.  The causal nexus between carbon dioxide emissions and agricultural ecosystem—an econometric approach , 2016, Environmental Science and Pollution Research.

[28]  W. Parton,et al.  Measuring and mitigating agricultural greenhouse gas production in the US Great Plains, 1870–2000 , 2015, Proceedings of the National Academy of Sciences.

[29]  A. Cullen,et al.  Environmental impacts and constraints associated with the production of major food crops in Sub-Saharan Africa and South Asia , 2015, Food Security.

[30]  G. Velthof,et al.  Mitigation of ammonia, nitrous oxide and methane emissions from manure management chains: a meta‐analysis and integrated assessment , 2015, Global change biology.

[31]  M. Mihalache,et al.  Multicriteria analysis of the effects of field burning crop residues. , 2014 .

[32]  Arti Bhatia,et al.  Methane and nitrous oxide emissions from Indian rice paddies, agricultural soils and crop residue burning , 2013 .

[33]  P. Birthal,et al.  Positive Environmental Externalities of Livestock in Mixed Farming Systems of India , 2013 .

[34]  Bashu Dev Deshar An Overview of Agricultural Degradation in Nepal and its Impact on Economy and Environment , 2013 .

[35]  O. Singh,et al.  Study of Impacts of Global Warming on Climate Change: Rise in Sea Level and Disaster Frequency , 2012 .

[36]  Mohd Ariffin Abu Hassan,et al.  Methane emission by sectors: A comprehensive review of emission sources and mitigation methods , 2012 .

[37]  Donald Eugene. Farrar,et al.  Multicollinearity in Regression Analysis; the Problem Revisited , 2011 .

[38]  P. Gupta,et al.  Effects of agriculture crop residue burning on children and young on PFTs in North West India. , 2010, The Science of the total environment.

[39]  R. Desjardins,et al.  Agricultural production, greenhouse gas emissions and mitigation potential , 2007 .

[40]  Jörg Breitung,et al.  Testing for short- and long-run causality: A frequency-domain approach , 2006 .

[41]  E. Turtola,et al.  Fluxes of nitrous oxide and methane, and nitrogen leaching from organically and conventionally cultivated sandy soil in western Finland , 2006 .

[42]  P. Narayan,et al.  The saving and investment nexus for China: evidence from cointegration tests , 2005 .

[43]  P. Zuo-xiang,et al.  Testing for a Unit Root in Time Series with GJR-GARCH Errors , 2005 .

[44]  Yongqiang Yu,et al.  Modeling methane emission from rice paddies with various agricultural practices , 2004 .

[45]  Reiner Wassmann,et al.  Modeling greenhouse gas emissions from rice‐based production systems: Sensitivity and upscaling , 2004 .

[46]  S French,et al.  Multicriteria Analysis , 1998, J. Oper. Res. Soc..

[47]  P. Phillips,et al.  Testing the null hypothesis of stationarity against the alternative of a unit root: How sure are we that economic time series have a unit root? , 1992 .

[48]  P. Phillips Testing for a Unit Root in Time Series Regression , 1988 .

[49]  W. Fuller,et al.  Distribution of the Estimators for Autoregressive Time Series with a Unit Root , 1979 .

[50]  A. Kahraman,et al.  Effects of Agricultural Practices on Environment , 2022 .