Does e-commerce drive rural households engaged in non-timber forest product operations to adopt green production behaviors?

Li, Bowei; Xu, Caiyao; Zhu, Z. A.; Kong, Fanyu

doi:10.1016/j.jclepro.2021.128855

Cited by 24 publications

(25 citation statements)

References 40 publications

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“…It is worth noting that the econometric method used in this paper can only reflect the impact of URRBMI on migrant workers' excessive labor from the sample as a whole, and determine the causal relationship between URRBMI and migrant workers' excessive labor. It is impossible to deeply explore whether each sample can alleviate its excessive labor after participating in URRBMI (33). In the future, we can further use the method of case analysis to analyze the individual differences of the impact of URRBMI on migrant workers' overwork.…”

Section: Discussionmentioning

confidence: 99%

The Impact of the Integration of Urban and Rural Medical Insurance on Migrant Workers' Overwork: Evidence From China

Xue

2022

Front. Public Health

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In recent years, the problem of migrant workers' excessive labor has attracted much attention. The implementation of the integration policy of urban and rural medical insurance has broken the urban-rural dual division system. While improving migrant workers' health and sense of social integration, can they effectively alleviate their overwork? Based on the panel data of China Labor Dynamics Survey (CLDS) in 2016 and 2018, this paper empirically analyzes the impact of the integration of urban and rural medical insurance on migrant workers' overwork by using the differential difference model (DID). The research shows that the integration of urban and rural medical insurance can significantly alleviate the excessive labor of migrant workers; Heterogeneity analysis shows that, comparing with the new generation, the eastern region, the tertiary industry and low education level migrant workers, it is more obviously that the integration of urban and rural medical insurance alleviates the overwork of the older generation, the central and the western regions, the secondary industry and high education level migrant workers. Path analysis shows that the integration of urban and rural medical insurance will improve the social identity and health level of migrant workers, and then reduce the probability of migrant workers' overwork.

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Section: Discussionmentioning

confidence: 99%

The Impact of the Integration of Urban and Rural Medical Insurance on Migrant Workers' Overwork: Evidence From China

Xue

2022

Front. Public Health

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“…Typestry is the first recommendation system based on collaborative filtering, and the target user needs to clearly identify other users who behave similarly to themselves. GroupLens is an automated, collaborative filtering recommendation system based on user ratings for recommending movies and news [14]. Ringo Recommendation System and Video Recommendation System recommend music and movies by e-mail, respectively.…”

Section: State Of the Artmentioning

confidence: 99%

Improvement of Business Analysis Method of E-Commerce System from the Perspective of Intelligent Recommendation System

Shao

2022

Advances in Multimedia

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In recent years, with the continuous development of the country’s Internet platforms, China has gradually entered the e-commerce era of national online shopping, and more and more e-commerce platforms and stores have adopted intelligent recommendation systems to increase transaction rates. However, it is not easy for consumers to filter out the products they want from a large amount of information. The emergence of intelligent recommendation systems provides great convenience for people to screen out personalized products that meet their own characteristics. However, the algorithms used in traditional recommendation technology focus on the single-computer environment and do not consider the performance of the recommendation method when distributed parallel processing is required in the big data environment, so it cannot meet the personalized needs of users in the big data environment. Aiming at the new requirements for the development of e-commerce intelligent recommendation technology in the big data environment, this paper uses the big data processing technology based on cloud computing and focuses on the realization technology of the e-commerce intelligent recommendation algorithm and the comprehensive evaluation method of the recommendation system in the big data environment. A prototype system of personalized intelligent recommendation based on cloud computing has been developed, which is of great importance to meet the needs of e-commerce personalized intelligent recommendation in the big data environment, improve the effectiveness, scale, and real-time performance of the personalized intelligent recommendation system, and improve the level of personalized precision marketing., which is of theoretical significance and economic value.

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“…As mentioned above, the reduction of transaction costs can promote farmers to implement green production. Moreover, e-commerce can help broaden the channels through which farmers obtain information, alleviate the information asymmetry between buyers and sellers, and form a shared and transparent production mode [ 6 , 17 ]. The existing literature has confirmed the positive effects of e-commerce on the income diversity of rural households [ 20 ], farm income [ 18 ], rural household digital credit [ 21 – 23 ], and rural household welfare [ 24 ].…”

Section: Introductionmentioning

confidence: 99%

“…The existing literature has confirmed the positive effects of e-commerce on the income diversity of rural households [ 20 ], farm income [ 18 ], rural household digital credit [ 21 – 23 ], and rural household welfare [ 24 ]. However, to the best of our knowledge, no previous studies except Li et al [ 6 ] have researched the impact of e-commerce on the adoption of organic fertilizers by farmers. By estimating a propensity score matching (PSM) model, Li et al [ 6 ] analyzed the effect of e-commerce on the adoption of green production and found that e-commerce significantly promotes the adoption of organic fertilizers by households.…”

Section: Introductionmentioning

confidence: 99%

“…However, to the best of our knowledge, no previous studies except Li et al [ 6 ] have researched the impact of e-commerce on the adoption of organic fertilizers by farmers. By estimating a propensity score matching (PSM) model, Li et al [ 6 ] analyzed the effect of e-commerce on the adoption of green production and found that e-commerce significantly promotes the adoption of organic fertilizers by households. However, this study fails to consider the unobserved selectivity bias issue of e-commerce due to the limitation of the PSM method.…”

Section: Introductionmentioning

confidence: 99%

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Does E-commerce participation increase the use intensity of organic fertilizers in fruit production?–Evidence from China

Wang

Wang²,

Xia³

et al. 2022

PLoS ONE

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Commerce has had positive impacts on the whole agri-food value chain at different stages, it was developed rapidly in rural China in the past few years. E-commerce participation can promote the use intensity of organic fertilizers (OF) and this could achieve many benefits for different stakeholders including ensuring food safety, positive environmental impacts and promoting the adoption of green production technologies. Therefore, this study has used primary data collected from 733 fruit farmers in rural China to explore the impact of e-commerce participation on fruit farmers’ use intensity of (OF). Unlike previous studies investigating the dichotomous decision of (OF) adoption, this study captures the use intensity of (OF) from both input quantity and cost aspects. We employed an endogenous switching regression (ESR) model to address selectivity bias caused by observed and unobserved factors. The results show that e-commerce participation significantly increases the use intensity of (OF) in input quantity and cost by 19.48% and 29.50%, respectively. Heterogeneous analysis further reveals that compared to fruit farmers with a low e-commerce participation level, fruit farmers with a high e-commerce participation level have higher (OF) use intensity. The findings also show that risk preference, human capital, cultivated area, cooperative membership and government restraint mechanisms positively and significantly affect the probability of fruit farmers’ participation in e-commerce and fruit farmers’ use intensity of (OF). The results emphasize that e-commerce promotion is an efficient way to encourage farmers to adopt (OF), which help improve product quality and promote sustainable agricultural development.

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Does e-commerce drive rural households engaged in non-timber forest product operations to adopt green production behaviors?

Cited by 24 publications

References 40 publications

The Impact of the Integration of Urban and Rural Medical Insurance on Migrant Workers' Overwork: Evidence From China

The Impact of the Integration of Urban and Rural Medical Insurance on Migrant Workers' Overwork: Evidence From China

Improvement of Business Analysis Method of E-Commerce System from the Perspective of Intelligent Recommendation System

Does E-commerce participation increase the use intensity of organic fertilizers in fruit production?–Evidence from China

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