Analysis of landslide risk in south OKU Regency, Indonesia DOI Creative Commons

Ellin Hafiza,

Budi Utomo, Helfa Septinar

et al.

Glasnik srpskog geografskog drustva, Journal Year: 2024, Volume and Issue: 104(2), P. 147 - 166

Published: Jan. 1, 2024

Landslides cause significant economic, physical, and environmental losses. This research aims to analyse landslide risk using hazard analysis, vulnerability regional capacity disaster analysis. The study was conducted in South OKU Regency, one of the regencies Sumatra Province, which frequently experiences landslides. method used this is a survey method. data includes DEM data, slope types, land cover type maps, rainfall soil physical infrastructure, economic losses, damage, development plans, index, from structured interviews with 19 sub-district heads. Landslide analysis uses weighting overlay method; Multi-Criteria Decision Analysis; refers Hyogo Framework for Actions; based on Perka BNPB No. 2 2012. results show that Regency high spread across more than half sub-districts. very vulnerable condition vital has potential can damage conditions. On other hand, dealing danger categorized as moderate. landslides medium class. Therefore, it necessary strengthen community increase preparedness facing disasters minimize risks posed.

Language: Английский

Behavioral factors driving farmers’ intentions to adopt spot spraying for sustainable weed control DOI Creative Commons
Philipp Feisthauer, Monika Hartmann, Jan Börner

et al.

Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 353, P. 120218 - 120218

Published: Jan. 30, 2024

Smart Farming Technologies enable plant-specific agrochemical applications which can increase the efficiency and reduce environmental impacts of agriculture. However, uptake remains slow despite their potential to enhance sustainable transformation food systems. The design policies promote agricultural technologies requires a holistic understanding complex set factors driving adoption innovations at farm level. This study has focus on behavioral factors, such as pro-environmental attitude, personal innovativeness moral norms. Based an online conducted in Germany, structural equation modelling is applied test predictions extended version Theory Planned Behavior, using spot spraying, smart weeding technology, example. results confirm theoretical show that indicators subjective norms, perceived control have relevant effects farmers' intentions. model revealed medium-sized (small) direct effect norms attitude towards spraying (adoption intention). Personal had small intention, whereas did not exhibit clear direction impact. Methodological policy implications derived from are discussed noting inclusion for improve predictive power models used future research this field. Overall, initiatives aimed facilitating exchange opinions related well collaboration among peers may contribute voluntary innovation it enhances intentions farmers.

Language: Английский

Citations

7

Centrifuge modeling of loess slope failure induced by rising water level utilizing intact sample DOI
Kuanyao Zhao,

Qiang Xu,

Fangzhou Liu

et al.

Engineering Failure Analysis, Journal Year: 2024, Volume and Issue: 163, P. 108572 - 108572

Published: June 15, 2024

Language: Английский

Citations

6

Unraveling farmers' interrelated adaptation and mitigation adoption decisions under perceived climate change risks DOI Creative Commons
María Rodríguez-Barillas, P. Marijn Poortvliet, Laurens Klerkx

et al.

Journal of Rural Studies, Journal Year: 2024, Volume and Issue: 109, P. 103329 - 103329

Published: June 25, 2024

Climate change poses a risk to agricultural activity. Understanding farmers' behaviors is increasingly important for managing climate risks and improving their adaptive capacity. This study aims identify the key risk-related drivers influencing several adaptation mitigation strategies by adopting various Climate-Smart Agriculture (CSA) technologies reduce vulnerability. We investigate interrelated nature of adoption CSA related soil fertility, conservation, agroforestry, agro-advisory apps, alternative coffee farming practices. To explore role perceived technology adoption, we constructed an extended model that combines protection motivation theory, social demographic determinants. collected empirical data from 519 farmers in Costa Rica analyzed through multivariate probit technique. The analysis reveals how influence severity, vulnerability, response efficacy, self-efficacy, cost changes according technology. As risks, show likelihood focused on decreases with increasing risk. Other determinants, such as number buyers membership organization, steer fertility practices, mobile apps. Main theoretical implications include integration perceptions since it reflects fear potential losses or additional costs associated implementing these finding gives nuanced explanation decisions under pressing threats. Practical are promotion programs must consider see decisions, meaning more fruitful synergies could be promoted acknowledging bundled multiple technologies. Thus, promoting mix practices essential achieving resilience while productivity.

Language: Английский

Citations

6

The Impact of Technical Training on Farmers Adopting Water-Saving Irrigation Technology: An Empirical Evidence from China DOI Creative Commons

Xiuling Ding,

Qian Lu,

Lipeng Li

et al.

Agriculture, Journal Year: 2023, Volume and Issue: 13(5), P. 956 - 956

Published: April 26, 2023

Farmers’ adoption of water-saving irrigation technology (WSIT) is essential for achieving high-quality agricultural development. An in-depth analysis the impact risk aversion, technical training and their interaction on farmers’ WSIT will help government to promote facilitate resource conservation sustainable The study takes 707 farmers who grow watermelons muskmelon in Yuncheng Xian City Shanxi Shaanxi provinces as research object analyse influence aversion terms behaviour. uses Probit moderating effect models outline findings. empirical reveals following outcomes: (i) 27.44% sample adopt technology, indicating that current rate enthusiasm are relatively low; (ii) has a significant negative WSIT; (iii) both online offline have positive (iv) group differences exist effects training, items Therefore, proposes strengthen role diffusion implement differentiated different types reduce degree farmers.

Language: Английский

Citations

14

Effective Economic Model for Greenhouse Facilities Management and Digitalization DOI Creative Commons
Акмал Дурманов,

Tulkin Farmanov,

Fotima Nazarova

et al.

Journal of Human Earth and Future, Journal Year: 2024, Volume and Issue: 5(2), P. 187 - 204

Published: June 1, 2024

The main objective of this study was to inform evidence-based financial strategies and policy directions for Uzbekistan’s ambitious greenhouse agriculture expansion by quantifying how integration with agricultural data platforms affects key operational metrics like crop productivity, expenditures, profitability, technical efficiency. core methodological approach integrated econometric modeling techniques (production, cost, profit functions) envelopment analysis conduct comprehensive techno-economic assessments across a representative sample 58 facilities using primary collected on yields, costs, technology deployment levels, digital platform accessibility. A finding that involvement in supply chain coordination corresponded 36% increase coupled 19% reduction expenses, 29% improvement 22% boost optimized efficiency scores relative conventional practices after controlling adoption other factors. This novel contribution provides quantifiable evidence the synergistic sustainability, climate resilience dividends unlocked aligning physical infrastructure upgrades virtual enhancements around visibility network overcome constraints facing smallholder operations. interdisciplinary outlines an roadmap smart through investments transparency tools, ecosystems, workforce training. Doi: 10.28991/HEF-2024-05-02-04 Full Text: PDF

Language: Английский

Citations

5

The impact of irrigated agriculture on landslide activity: A spatio-temporal analysis in Heifangtai, China DOI
Lina Hao, Qiang Xu, C.J. van Westen

et al.

CATENA, Journal Year: 2025, Volume and Issue: 252, P. 108844 - 108844

Published: Feb. 23, 2025

Language: Английский

Citations

0

The impact of digital inclusive finance on alternate irrigation technology innovation: From the perspective of the 'catfish effect' in financial markets DOI Creative Commons

Shilong Meng,

Yanjun Jiang,

Jiahui Song

et al.

Agricultural Water Management, Journal Year: 2025, Volume and Issue: 312, P. 109423 - 109423

Published: March 30, 2025

Language: Английский

Citations

0

Beyond tradition: Unveiling the socio-psychological drivers of sustainable water use in farming DOI
Zahra Razzaghzadeh, Massoud Tabesh, Mohsen Nasseri

et al.

Journal of Environmental Management, Journal Year: 2025, Volume and Issue: 382, P. 125313 - 125313

Published: April 15, 2025

Language: Английский

Citations

0

Factors influencing adaptation to water scarcity in the context of climate change: Integrated socio-psychological models in Kermanshah province, Iran DOI
Yousof Azadi, Jafar Yaghoubi, Saeed Gholamrezai

et al.

Journal of Hydrology Regional Studies, Journal Year: 2025, Volume and Issue: 59, P. 102415 - 102415

Published: April 26, 2025

Language: Английский

Citations

0

Assessing farmers’ intention to adopt drought insurance. A combined perspective from the extended theory of planned behavior and behavioral reasoning theory DOI Creative Commons
L. Javier Cabeza‐Ramírez, M. Dolores Guerrero‐Baena, Mercedes Luque‐Vílchez

et al.

International Journal of Disaster Risk Reduction, Journal Year: 2024, Volume and Issue: 113, P. 104818 - 104818

Published: Sept. 12, 2024

Language: Английский

Citations

3