Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 0

The DOI matches its Crossref record; the references it cites are not checked yet.

Comparative effects of climatic and non-climatic inputs on rice yields: New evidence from Bangladesh

Riaz, Mahmud Hasan·2026·Heliyon

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.heliyon.2026.e44994

Cites

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

The citation lists haven’t been fetched yet

Research works printed but not linked: 41

  1. Islam, 2017, Adaptation to climate change in agriculture in Bangladesh: the role of formal institutions, J. Environ. Manag., 200, 347, 10.1016/j.jenvman.2017.05.092 · DOI · Paper page
  2. Liu, 2025, Effects of temperature fluctuations on the growth cycle of rice, Agriculture, 15, 99, 10.3390/agriculture15010099 · DOI
  3. Shahid, 2012, Changes in diurnal temperature range in Bangladesh during the time period 1961–2008, Atmos. Res., 118, 260, 10.1016/j.atmosres.2012.07.008 · DOI · Paper page
  4. Rahman, 2002, Technological change and food production sustainability in Bangladesh agriculture, Asian Profile, 30, 233
  5. Ruttan, 2002, Productivity growth in world agriculture: sources and constraints, J. Econ. Perspect., 16, 161, 10.1257/089533002320951028 · DOI · Paper page
  6. Tiamiyu, 2015, Rainfall variability and its effect on yield of rice in Nigeria, ILNS, 49, 63, 10.56431/p-yk8v53 · doi:10.56431/p-yk8v53
  7. Kumar, 2023, Climate change and rice production in India: role of ecological and carbon footprint, JADEE, 13, 260, 10.1108/JADEE-06-2021-0152 · DOI
  8. Hartati, 2018, Effectiveness and efficiency of potassium fertilizer application to increase the production and quality of rice in entisols, IOP Conf. Ser. Earth Environ. Sci., 142, 10.1088/1755-1315/142/1/012031 · doi:10.1088/1755-1315/142/1/012031
  9. Olufemi, 2020, Assessment of temperature variability effect on rice production in Nasarawa state, Nigeria, IJECC, 91, 10.9734/ijecc/2020/v10i830221 · doi:10.9734/ijecc/2020/v10i830221
  10. Al Mamun, 2025, Temperature variability and its effect on seasonal yield of rice in Bangladesh: a long-term trend assessment, Cogent Food Agric., 11
  11. Bhardwaj, 2022, A district-level analysis for measuring the effects of climate change on production of agricultural crops, i.e., wheat and paddy: evidence from India, Environ. Sci. Pollut. Res., 29, 31861, 10.1007/s11356-021-17994-2 · DOI
  12. Bamiro, 2020, Effects of climate change on grain productivity in Nigeria (1970-2014), IOP Conf. Ser. Earth Environ. Sci., 445, 10.1088/1755-1315/445/1/012058 · doi:10.1088/1755-1315/445/1/012058
  13. Abbas, 2021, Impact of temperature and rainfall on rice production in Punjab, Pakistan, Environ. Dev. Sustain., 23, 1706, 10.1007/s10668-020-00647-8 · DOI · Paper page
  14. Agba, 2017, Analysis of the effects of climate change on crop output in Nigeria, AJCC, 6, 554, 10.4236/ajcc.2017.63028 · doi:10.4236/ajcc.2017.63028
  15. Ali, 2017, Climate change and its impact on the yield of major food crops: evidence from Pakistan, Foods, 6, 39, 10.3390/foods6060039 · DOI · Paper page
  16. Guntukula, 2020, Assessing the impact of climate change on Indian agriculture: evidence from major crop yields, J. Publ. Aff., 20, 10.1002/pa.2040 · DOI · Paper page
  17. Gallé, 2025, Indian agriculture under climate change: the competing effect of temperature and rainfall anomalies, Economics of Disasters and Climate Change, 9, 53, 10.1007/s41885-024-00154-4 · DOI
  18. Gollin, 2014, The agricultural productivity gap, Q. J. Econ., 129, 939, 10.1093/qje/qjt056 · DOI · Paper page
  19. Iddrisu, 2025, Urban expansion and livelihood dynamics in peri‐urban Tamale, Ghana, Geogr. Res., 63, 40, 10.1111/1745-5871.12681 · DOI
  20. Andrade, 2022, Impact of urbanization trends on production of key staple crops, Ambio, 51, 1158, 10.1007/s13280-021-01674-z · DOI
  21. Atapattu, 2018, Increased rate of potassium fertilizer at the time of heading enhances the quality of direct seeded rice, Chem. Biol. Technol. Agric., 5, 22, 10.1186/s40538-018-0136-x · doi:10.1186/s40538-018-0136-x
  22. Ye, 2019, Nitrogen, phosphorus, and potassium fertilization affects the flowering time of rice (Oryza sativa L.), Glob. Ecol. Conserv., 20
  23. Tanko, 2016, Determinants of rice yield in Northern Region of Ghana, the role of policy, AJAEES, 9, 1, 10.9734/AJAEES/2016/22922 · doi:10.9734/ajaees/2016/22922
  24. Jauhari, 2025, Rice yield enhancement and environmental sustainability with precision nutrient management, Glob. J. Environ. Sci. Manag., 77
  25. Chandio, 2021, Assessing the impacts of climatic and technological factors on rice production: empirical evidence from Nepal, Technol. Soc., 66, 10.1016/j.techsoc.2021.101607 · DOI
  26. Gul, 2022, Tracking the effect of climatic and non-climatic elements on rice production in Pakistan using the ARDL approach, Environ. Sci. Pollut. Res., 29, 31886, 10.1007/s11356-022-18541-3 · doi:10.1007/s11356-022-18541-3
  27. Kishore, 2025, Climate-induced changes in agricultural land use: parcel-level evidence from California's Central Valley, Clim. Change, 178, 59, 10.1007/s10584-025-03905-8 · DOI
  28. Jagadish, 2007, High temperature stress and spikelet fertility in rice (Oryza sativa L.), J. Exp. Bot., 58, 1627, 10.1093/jxb/erm003 · DOI · Paper page
  29. Wassmann, 2009, Climate change affecting rice production: the physiological and agronomic basis for possible adaptation strategies, Adv. Agron., 101, 59, 10.1016/S0065-2113(08)00802-X · DOI · Paper page
  30. Seto, 2012, Global forecasts of urban expansion to 2030 and direct impacts on biodiversity and carbon pools, Proc. Natl. Acad. Sci., 109, 16083, 10.1073/pnas.1211658109 · DOI · Paper page
  31. Dobermann, 2000, vol. 191
  32. Lambin, 2011, Global land use change, economic globalization, and the looming land scarcity, Proc. Natl. Acad. Sci., 108, 3465, 10.1073/pnas.1100480108 · DOI · Paper page
  33. 2022, Agriculture Statistics
  34. Riaz, 2025, Nonlinear effects of ICT-trade openness on sustainable energy transition in Bangladesh, Energy Policy, 206, 10.1016/j.enpol.2025.114784 · DOI
  35. Pesaran, 2001, Bounds testing approaches to the analysis of level relationships, J. Appl. Econom., 16, 289, 10.1002/jae.616 · DOI · Paper page
  36. Brown, 1975, Techniques for testing the constancy of regression relationships over time, J. Roy. Stat. Soc. B Stat. Methodol., 37, 149, 10.1111/j.2517-6161.1975.tb01532.x · DOI · Paper page
  37. Narayan, 2005, The saving and investment nexus for China: evidence from cointegration tests, Appl. Econ., 37, 1979, 10.1080/00036840500278103 · DOI · Paper page
  38. Zivot, 2002, Further evidence on the great crash, the oil-price shock, and the unit-root hypothesis, J. Bus. Econ. Stat., 20, 25, 10.1198/073500102753410372 · DOI · Paper page
  39. Phillips, 1988, Testing for a unit root in time series regression, Biometrika, 75, 335, 10.1093/biomet/75.2.335 · DOI · Paper page
  40. Dickey, 1979, Distribution of the estimators for autoregressive time series with a unit root, J. Am. Stat. Assoc., 74, 427, 10.1080/01621459.1979.10482531 · DOI · Paper page
  41. Ali Chandio, 2018, The linkage between fertilizer consumption and rice production: empirical evidence from Pakistan, AIMS Agriculture and Food, 3, 295, 10.3934/agrfood.2018.3.295 · doi:10.3934/agrfood.2018.3.295

Metadata

Authors
Riaz, M. H.
Venue
Heliyon
Publisher
Elsevier BV
Published
2026-05
Volume
12
Issue
9
Pages
e44994
ISSN
2405-8440
Cited by
0
Language
en
Licence

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Comparative effects of climatic and non-climatic inputs on rice yields: New evidence from Bangladesh. https://app.cochat.ai/papers/10.1016/j.heliyon.2026.e44994
The paper
Riaz, M. H. (2026). Comparative effects of climatic and non-climatic inputs on rice yields: New evidence from Bangladesh. Heliyon. https://doi.org/10.1016/j.heliyon.2026.e44994

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.