Impact of Digital Agro-Technology Services on Technical Efficiency and Income of Small-Scale Farmers: Empirical Study from Mango Production in China DOI Creative Commons
Chong-Xin Xie,

Yun Gao,

Yu Zhong

и другие.

Agriculture, Год журнала: 2024, Номер 14(12), С. 2143 - 2143

Опубликована: Ноя. 26, 2024

With the market-driven approach to agricultural technical services and application of digital technology, agro-technical have gradually emerged as a novel service model. However, there is lack empirical research on effectiveness this in academic literature. To address gap, study measured impact efficiency income levels mango farmers, using data collected from 131 farmers Hainan Province, China, 2022 2024. This employed endogenous switching regression model (ESRM) inverse probability-weighted adjustment (IPWRA) analyze data, addressing endogeneity through instrumental variable method by replacing core explanatory variables conducting sub-regional for robustness testing. The main conclusions are follows: Under counterfactual assumption ESRM, who adopt would experienced decrease 0.025 (a decline 3.6%) if they had not adopted service. Conversely, did it seen an increase 0.047 (an 7.3%) chosen do so. Additionally, under post-treatment effect estimation IPWRA, compared receive service, those so saw 15.6%. analysis results methods such K-nearest neighbors matching also confirm conclusion. Therefore, evident that agro-technology play significant role improving small-scale farmers.

Язык: Английский

Research on the impact of climate change on green and low-carbon development in agriculture DOI Creative Commons
Jie Cai, Zheng Pan, Yiwei Xie

и другие.

Ecological Indicators, Год журнала: 2025, Номер 170, С. 113090 - 113090

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

1

Data from a survey of coffee cultivation in lowland and highland areas to support agriculture during climate change. DOI Creative Commons
Thanapong Chaichana,

Graham Reeve,

Pairach Piboonrungroj

и другие.

Data in Brief, Год журнала: 2024, Номер 56, С. 110881 - 110881

Опубликована: Авг. 25, 2024

This survey aimed to acquire and generate significant information on coffee cultivation in high low elevations support agriculture during climate change. dataset helps understand highland lowland areas with diverse climates environmental conditions for researchers use this data improve production techniques. In the business scope, provides a critical vision value proposition of maintain conservation wealth creation chain. Similarly, chains can as an example assess sustainability carbon literacy. The structured interviews field trips were conducted at plantations southern northern Thailand. transcript results manually coded thematic analysis. offers insights into anthropogenic plant migration distribution academics valuable resource good reference agricultural biodiversity research. Today, faces many challenges, such change, water shortage, improper land management. altitudes may help others grow crops ever-changing climates.

Язык: Английский

Процитировано

1

Impact of Digital Agro-Technology Services on Technical Efficiency and Income of Small-Scale Farmers: Empirical Study from Mango Production in China DOI Creative Commons
Chong-Xin Xie,

Yun Gao,

Yu Zhong

и другие.

Agriculture, Год журнала: 2024, Номер 14(12), С. 2143 - 2143

Опубликована: Ноя. 26, 2024

With the market-driven approach to agricultural technical services and application of digital technology, agro-technical have gradually emerged as a novel service model. However, there is lack empirical research on effectiveness this in academic literature. To address gap, study measured impact efficiency income levels mango farmers, using data collected from 131 farmers Hainan Province, China, 2022 2024. This employed endogenous switching regression model (ESRM) inverse probability-weighted adjustment (IPWRA) analyze data, addressing endogeneity through instrumental variable method by replacing core explanatory variables conducting sub-regional for robustness testing. The main conclusions are follows: Under counterfactual assumption ESRM, who adopt would experienced decrease 0.025 (a decline 3.6%) if they had not adopted service. Conversely, did it seen an increase 0.047 (an 7.3%) chosen do so. Additionally, under post-treatment effect estimation IPWRA, compared receive service, those so saw 15.6%. analysis results methods such K-nearest neighbors matching also confirm conclusion. Therefore, evident that agro-technology play significant role improving small-scale farmers.

Язык: Английский

Процитировано

0