Ex-ante evaluation of a cross-sectorial business model for risk management in new product development: the case of Haitian farming DOI
Rival Valcin, Tomohiro Uchiyama,

Rika Terano

et al.

Review of Agricultural Food and Environmental Studies, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 9, 2024

Language: 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

et al.

Mitigation and Adaptation Strategies for Global Change, Journal Year: 2024, Volume and Issue: 29(5)

Published: April 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.

Language: Английский

Citations

9
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

et al.

Heliyon, Journal Year: 2025, Volume and Issue: 11(2), P. e41787 - e41787

Published: Jan. 1, 2025

Language: Английский

Citations

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

et al.

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 948, P. 174706 - 174706

Published: July 14, 2024

Language: Английский

Citations

5
Soil microbiome: An intrinsic driver for climate smart agriculture DOI Creative Commons
Hemant J. Purohit,

Prabhakar D. Pandit,

Rajesh Pal

et al.

Journal of Agriculture and Food Research, Journal Year: 2024, Volume and Issue: unknown, P. 101433 - 101433

Published: Sept. 1, 2024

Citations

5
Scale measurement and economic effect evaluation of smart agriculture in China DOI
Shaohua Zhang, R. Chen, Jian Wu

et al.

Socio-Economic Planning Sciences, Journal Year: 2025, Volume and Issue: unknown, P. 102195 - 102195

Published: March 1, 2025

Language: Английский

Citations

0
Analysis of Driving Factors of Cropland Productivity in Northeast China Using OPGD-SHAP Framework DOI Creative Commons

Runzhao Gao,

Hongyan Cai, Xinliang Xu

et al.

Land, Journal Year: 2025, Volume and Issue: 14(5), P. 1010 - 1010

Published: May 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.

Language: Английский

Citations

0
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

et al.

Mitigation and Adaptation Strategies for Global Change, Journal Year: 2024, Volume and Issue: 29(4)

Published: March 16, 2024

Language: Английский

Citations

3
Climate-smart agricultural practices- determinants and impact on crop production. New insights from Afghanistan DOI
Sayed Alim Samim, Xiangzheng Deng, Zhihui Li

et al.

Mitigation and Adaptation Strategies for Global Change, Journal Year: 2024, Volume and Issue: 29(8)

Published: Dec. 1, 2024

Language: Английский

Citations

3
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

et al.

Mitigation and Adaptation Strategies for Global Change, Journal Year: 2024, Volume and Issue: 29(5)

Published: April 2, 2024

Language: Английский

Citations

2
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, Journal Year: 2024, Volume and Issue: 221, P. 104135 - 104135

Published: Sept. 16, 2024

Language: Английский

Citations

2