Determinants of Climate-Smart Agriculture Adoption Among Rice Farmers: Enhancing Sustainability DOI Open Access
S. C. Pāṇḍeya,

Ananta P. Gajurel,

B. P. Mishra

и другие.

Sustainability, Год журнала: 2024, Номер 16(23), С. 10247 - 10247

Опубликована: Ноя. 23, 2024

The use of conventional farming methods, excessive reliance on fertilizers and inputs, abrupt shifts in climate have raised significant concerns regarding global agricultural production, particularly developing countries like Nepal. Agriculture products such as rice hold importance Nepal’s agriculture economy, serving a staple food crucial source livelihood for its population. Sustainable cultivation enhancing productivity are imperative ensuring security economic stability the country. Adoption climate-smart (CSA) practices can minimize detrimental effects, promote sustainability, enhance resilience towards change. We surveyed 200 farmers across four municipalities Chitwan District Nepal to explore prevalence socio-economic drivers adoption CSA practices, which include stress-tolerant varieties, efficient water management, diversified cropping, among others. results revealed that pest-resistant plant varieties was common practice study area. Logistic regression increases with an increase education membership climate-related organizations. Similarly, is negatively associated farm size, farmers’ experience, their access credit facilities. Short-term courses training could be initiated complement formal maximize practices. farmer-related organizations should further strengthened capacity facilitate more provide need-based, timely information flow. This highlights potential sustainability change, but also identifies barriers need tailored policy interventions. Our findings contribute understanding dynamics vulnerable settings guide future strategies smallholder communities countries.

Язык: Английский

Enhancing crop yields and farm income through climate-smart agricultural practices in Eastern India DOI Creative Commons
Purna Chandra Tanti, Pradyot Ranjan Jena, Raja Rajendra Timilsina

и другие.

Mitigation and Adaptation Strategies for Global Change, Год журнала: 2024, Номер 29(5)

Опубликована: Апрель 8, 2024

Climate-induced increase in temperature and rainfall variability severely threaten the agricultural sector food security Indian state of Odisha. Climate-smart (CSA) practices, such as crop rotation integrated soil management, help farmers adapt to climate risk contribute a reduction greenhouse gas (GHG) emissions. Therefore, this paper examines impact CSA practices on yield income vulnerable semi-arid districts Odisha—Balangir, Kendrapara, Mayurbhanj. We use primary survey data from 494 households collected 2019–2020, using multi-stage stratified sampling approach structured questionnaire. Propensity score matching (PSM) two-stage least square method (2SLS) have been used analyze productivity. Two instrument variables, namely distance extension office percentage adopters village, are control self-selection bias endogeneity our model. Both models show positive significant adoption farmers' productivity income. The study sheds light contribution fostering sustainable growth amid environmental challenges. Overall, results suggest that small marginal Eastern India, highly environmentally area, can significantly improve their by adopting technology. Hence, policymakers should scale technology through effective programs.

Язык: Английский

Процитировано

10

Factors Influencing Livestock Ownership and Intensity Among Smallholder Farmers in the Eastern Cape, South Africa DOI Creative Commons
Jabulile ZAMUKUHLE MANYIKE, Amon Taruvinga, Leocadia Zhou

и другие.

Heliyon, Год журнала: 2025, Номер 11(2), С. e41787 - e41787

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

1

Coupled coordination and pathway analysis of food security and carbon emission efficiency under climate-smart agriculture orientation DOI
Cong Sun,

Enjun Xia,

Jieping Huang

и другие.

The Science of The Total Environment, Год журнала: 2024, Номер 948, С. 174706 - 174706

Опубликована: Июль 14, 2024

Язык: Английский

Процитировано

6

Soil microbiome: An intrinsic driver for climate smart agriculture DOI Creative Commons
Hemant J. Purohit,

Prabhakar D. Pandit,

Rajesh Pal

и другие.

Journal of Agriculture and Food Research, Год журнала: 2024, Номер unknown, С. 101433 - 101433

Опубликована: Сен. 1, 2024

Процитировано

5

Climate-smart agricultural practices- determinants and impact on crop production. New insights from Afghanistan DOI
Sayed Alim Samim, Xiangzheng Deng, Zhihui Li

и другие.

Mitigation and Adaptation Strategies for Global Change, Год журнала: 2024, Номер 29(8)

Опубликована: Дек. 1, 2024

Язык: Английский

Процитировано

4

Effects of using climate-smart agricultural practices on factor demand and input substitution among smallholder rice farmers in Nigeria DOI
Mojisola Olanike Kehinde, Adebayo M. Shittu,

Toluwalase Eniola Awe

и другие.

Mitigation and Adaptation Strategies for Global Change, Год журнала: 2024, Номер 29(4)

Опубликована: Март 16, 2024

Язык: Английский

Процитировано

3

Impact of adoption of climate smart agriculture practices on farmer's income in semi-arid regions of Karnataka DOI
Shreya Kapoor, Barun Deb Pal

Agricultural Systems, Год журнала: 2024, Номер 221, С. 104135 - 104135

Опубликована: Сен. 16, 2024

Язык: Английский

Процитировано

3

Scale measurement and economic effect evaluation of smart agriculture in China DOI
Shaohua Zhang, R. Chen, Jian Wu

и другие.

Socio-Economic Planning Sciences, Год журнала: 2025, Номер unknown, С. 102195 - 102195

Опубликована: Март 1, 2025

Язык: Английский

Процитировано

0

Analysis of Driving Factors of Cropland Productivity in Northeast China Using OPGD-SHAP Framework DOI Creative Commons

Runzhao Gao,

Hongyan Cai, Xinliang Xu

и другие.

Land, Год журнала: 2025, Номер 14(5), С. 1010 - 1010

Опубликована: Май 7, 2025

In the context of climate change and ecological degradation, enhancing cropland productivity in Northeast China is essential for ensuring national food security. This study adopted an integrated framework combining optimal parameter-based geographical detector (OPGD) SHapley Additive exPlanations (SHAP) to identify key drivers average total at county level from 2001 2020. Growing-season-based Net Primary Productivity (NPP) was estimated using CASA model represent productivity. Results indicated that natural factors significantly dominated spatial variation productivity, with their interactions amplified through dual-factor or nonlinear enhancements. Various machine learning models were fine-tuned compared, selected subsequent SHAP analysis. The findings revealed erosion intensity exhibited most significant impact on whereas effect precipitation shifted negative positive, a clear threshold around 400 mm—matching boundary between China’s semi-arid semi-humid regions. Low-elevation plains (<300 m) gentle slopes (<0.5°) predominately promoted Interactions fertilizer highlighted need moderate fertilization prevent degradation severely eroded counties. These provide scientific support targeted management aimed achieving sustainable agriculture China.

Язык: Английский

Процитировано

0

Assessment of socio-economic determinants and impacts of climate-smart feeding practices in the Kenyan dairy sector DOI
M Mburu, John Mburu, Rose Adhiambo Nyikal

и другие.

Mitigation and Adaptation Strategies for Global Change, Год журнала: 2024, Номер 29(5)

Опубликована: Апрель 2, 2024

Язык: Английский

Процитировано

2