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      The relationship between staple food crops consumption and its impact on total factor productivity: does green economy matter?

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          Abstract

          The agriculture sector is a key driver of economic growth and provides employment opportunities across the globe generally. However, in today’s world, agricultural product demand is more influenced by taste, prices, and nutritional value due to climatic variation. The study has analyzed the current situation grain productivity by using the data of farm inputs and major grain crops of Pakistan from (1960–2020). The study consists of a two-stage analysis in the first stage, the total factor productivity (TFP) variable is obtained by using the parametric Tornqvisit-Theil index output-input-aggregation method separately for each crop; rice, maize, and wheat. After that, the unit root test is used to check the stationarity and trend of the variables in the long run. Subsequently, the autoregressive distributed lag (ARDL) model is applied to check the existence of cointegration in the long run and short run among the variables. The results of the study disclosed that the consumption of rice has a positive relationship with its total factor productivity, but, wheat and maize have a negative long-run cointegration relationship with the respective productivities. The study results have shown that the consumption pattern of staple crops has substantially changed, due to climatic variation, and the current food consumption trend is revealing new dimensions and trends owing to variation in climate change and anthropogenic pressure which demands to adapt climate resilient farm practices.

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          Most cited references31

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          Generalized impulse response analysis in linear multivariate models

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            An Autoregressive Distributed-Lag Modelling Approach to Cointegration Analysis

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              Is Open Access

              Climate Change and Its Impact on the Yield of Major Food Crops: Evidence from Pakistan

              Pakistan is vulnerable to climate change, and extreme climatic conditions are threatening food security. This study examines the effects of climate change (e.g., maximum temperature, minimum temperature, rainfall, relative humidity, and the sunshine) on the major crops of Pakistan (e.g., wheat, rice, maize, and sugarcane). The methods of feasible generalized least square (FGLS) and heteroscedasticity and autocorrelation (HAC) consistent standard error were employed using time series data for the period 1989 to 2015. The results of the study reveal that maximum temperature adversely affects wheat production, while the effect of minimum temperature is positive and significant for all crops. Rainfall effect towards the yield of a selected crop is negative, except for wheat. To cope with and mitigate the adverse effects of climate change, there is a need for the development of heat- and drought-resistant high-yielding varieties to ensure food security in the country.
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                Author and article information

                Contributors
                nusratbaloch0301@gmail.com
                vipin555@rediffmail.com
                zatique@uok.edu.pk
                paritoshsharma431@gmail.com
                remocarlos2@gmail.com
                mshahzad786.pk11@gmail.com
                mosab.tabash@aau.ac.ae
                Journal
                Environ Sci Pollut Res Int
                Environ Sci Pollut Res Int
                Environmental Science and Pollution Research International
                Springer Berlin Heidelberg (Berlin/Heidelberg )
                0944-1344
                1614-7499
                11 August 2022
                : 1-10
                Affiliations
                [1 ]GRID grid.266518.e, ISNI 0000 0001 0219 3705, Department of Economics, , University of Karachi, ; Karachi, Pakistan
                [2 ]GRID grid.449731.c, ISNI 0000 0004 4670 6826, Department of Economics, , Teerthanker Mahaveer University Moradabad Uttar Pradesh, ; Moradabad, Uttar Pradesh India
                [3 ]Rajkiye Engineering College Bijnor, Uttar Pradesh, India
                [4 ]GRID grid.441743.1, ISNI 0000 0000 8834 7711, Universidad Andina del Cusco, ; Cusco, Peru
                [5 ]GRID grid.440564.7, ISNI 0000 0001 0415 4232, Department of Management Sciences, , University of Lahore, ; Lahore, Islamabad Pakistan
                [6 ]GRID grid.444473.4, ISNI 0000 0004 1762 9411, College of Business, , Al-Ain University, ; Al-Ain, United Arab Emirates
                Author notes

                Responsible Editor: Philippe Garrigues

                Author information
                http://orcid.org/0000-0003-1393-2897
                Article
                22150
                10.1007/s11356-022-22150-5
                9371376
                35953744
                d9d6aee3-7a78-4e68-94cc-52b311caa11e
                © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022

                This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.

                History
                : 13 April 2022
                : 18 July 2022
                Categories
                Review Article

                General environmental science
                economic growth,agriculture sector,green revolution,total factor productivity,tornqvisit-theil index,ardl,q11. q13. q16. q18

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