Examining the effects of climate change on rice production: case study of Pakistan

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This study assessed the long-run (LR) and short-run (SR) impacts of climatic and non-climatic factors, i.e., CO 2 emissions (CO 2 e), average level of temperature (ALT), average level of precipitation (ALP), area harvested of wheat and rice crops (AHW and (AHR), domestic credit (DCR), and agricultural labor (ALB) on wheat and rice production (WP and RP) in Turkey by using annual time series data ranging from 1980 to 2016 and by employing several econometric techniques. The autoregressive distributed lag-bounds (ARDL) approach and the Johansen and Juselius cointegration (JJC) test confirmed a valid long-term connection among underlying variables. The estimation results from the ARDL model reveal that climatic factors such as CO 2 emissions and temperature adversely affected wheat production in the long run as well as in the short run, whereas precipitation positively improved wheat production in both periods. Further results indicate that non-climatic factors like area harvested of wheat and domestic credit positively and significantly enhanced wheat production in the long run and short run. Similarly, CO 2 emissions also adversely affected rice production in both periods, while temperature and precipitation positively contributed towards rice production in both cases. In addition, area harvested of rice positively and significantly boosted rice production in the long run as well as in the short run, while domestic credit negatively influenced rice production in the long run but in the short run positively improved rice production. Additionally, the outcomes of the VECM Granger Causality for both rice and wheat production confirm that both climatic and non-climatic variables have a strong influence on the production of both crops. This study found that climate change has a deleterious influence on both wheat and rice production; therefore, the study suggests that temperature-resistant varieties of both crops should be developed and introduced by agricultural research institutions. In addition to this, up-to-date information is more needed related to climate change, and in the farming communities, it should be provided by agricultural extension workers.

Section: Results Of Vecm-based Ganger Causality Tests For Model (I)supporting

confidence: 87%

Section: Area Productionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Addressing the long- and short-run effects of climate change on major food crops production in Turkey

Chandio

Gökmenoğlu

Ahmad

2021

Self Cite

“…In addition to this, industrial pollution is also increasing the health costs (Zeng and He 2019 ) of the residents, due to the increase in the incidence of various diseases that are caused by industrial pollution. Moreover, the scope of this industrial pollution’s impact is quoted to be vast in nature and is one of the leading causes of deforestation (Murshed et al 2020 ), natural resource depletion (Hussain et al 2020 ), elimination of ecology (Sejati et al 2020 ), rising global temperatures (Mahmood et al 2020 ), melting glaciers (Kumar et al 2020 ), rising sea levels, floods (Yoo and Suh 2020 ), frequent natural disasters (Chandio et al 2020 ), crops destruction and rising food insecurities (Gupta et al 2020 ), and rising health issues due to Covid-19 as well (Coccia 2020 ). This is mainly because of the weak immunity levels of people, as a result of exposure to industrial pollution over a long period of time (Barbasz et al 2020 ).…”

Section: Introductionmentioning

confidence: 99%

Mapping green technologies literature published between 1995 and 2019: a scientometric review from the perspective of the manufacturing industry

Usmani

Wang

Ahmad

et al. 2021

This study presents a comprehensive literature review and gives an insight into the increasing research trends that are based on the discipline of green technology (GTs) in the manufacturing industry. Prior research in this field indicates that there is a scarcity of research on the topic. Therefore, this study seeks to draft a multi-perspective literature review that is based on GTs in the manufacturing industry. Moreover, to make this analysis more detailed, the science-mapping technique and the quantitative approach were also applied on 5734 bibliographic references that were extracted from the web of science. Ultimately, the focus of the research is to understand the tendencies and trends in journals, institutions, and the main areas of research, along with the integration style of these elements in the previous literature that has been written on the subject of GTs. This technique also helps to fill in the research gap, address the limitations of existing literature, and shed light on the various possible directions this could lead to for future research. The implications of this research offer wide directives for editors, researchers, research institutions, policymakers, and practitioners.

“…More recently, literature has indicated a significant effect on major crop yields from rainfall, maximum and minimum temperatures associated with climate change (Guntukula 2019). A number of researchers have found that CO 2 emissions significantly influence agricultural output in both long-run and short-run analyses Rehman et al 2019;Chandio et al 2019). In the Sahel region, the climate disturbances are manifested by severe erratic rainfall and changes in the onsets and duration rainy seasons.…”

Section: Introductionmentioning

confidence: 99%

Climate disturbance impact assessment in West Africa: evidence from field survey and satellite imagery analysis

Traoré

Wei

Rehman

et al. 2020

Extreme drought events from climate disturbances are weakening livelihood and limiting agriculture and livestock production in the Sahel region. The lack of relevant information to anticipate coping measures has exacerbated impacts leading to climate adaptation failure in most parts. In this regard, the current research paper has collected important datasets with an objective to assess the impact of extreme drought events on household's livelihoods for better understanding impacts, local people's perception, and the changes on vegetation cover in order to support a robust adaptation strategy to drought. The study conducted a household survey and collected satellite data for comparative analysis. The first survey was conducted in 2013 to collect data from 465 household heads through a structured questionnaire. Supplementary focus group discussions (FGDs) were also conducted in 2018 to collect qualitative information from targeted respondents such as village leaders and members of other key groups including women and youth. Descriptive statistics and correlation coefficient matrix were used to characterize the impact on households' main livelihoods and logistic regression to predict people's perception on pasture depletion over the last 20 years. Satellite data were used to derive spectral vegetation of land covers and unsupervised classification indexes. Both individual survey and focus group discussions identified drought as the main climate constraint which reduced crop production, water and pastures. The logistic analysis revealed that if the respondent's major occupation is livestock, the probability to perceive a depletion of pasture will increase by 28%. Concurrently, the satellite image observation in perfect agreement with the field survey showed 6.78% and 6.01% losses of water surface and vegetation cover respectively between 1986 and 2016 in the study area. These findings showed that logistic regression coupled with satellite information can inform on past and future impacts which are extremely crucial for sound adaptation planning in the Sahel region.