Effect of land transfer on farmers' willingness to pay for straw return in Southwest China

Jia, He; Zhou, Wenfeng; Guo, Shili; Deng, Xin; Song, Jiahao; Xu, Dingde

doi:10.1016/j.jclepro.2022.133397

Cited by 28 publications

(13 citation statements)

References 33 publications

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“…Thus, it is important to measure the importance of each factor and identify the most important. The CVM is effective in estimating the economic value of the watershed as a natural resource and has been widely adopted to estimate people's willingness to pay for ecosystem services (Perni et al, 2021;He et al, 2022). Meanwhile, the random forest (RF) model is effective in solving the multi-features problem and can sequence features in terms of importance.…”

Section: Discussionmentioning

confidence: 99%

Public willingness to pay watershed eco-compensation in China’s Taihu basin: A case study

Deng

Li²,

Chen³

et al. 2022

Front. Environ. Sci.

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Eco-compensation is effective in promoting the sustainable development of a watershed. The exploration of the public’s willingness to pay for such compensation, along with the corresponding influencing factors, are important for improving the efficacy of eco-compensation programs. However, motivating the public to participate in eco-compensation remains a challenge. In this study, the influencing factors behind public willingness to participate in eco-compensation in China’s Taihu Basin are measured using a contingent valuation method and a random forest model. The main results are as follows: 1) In the Taihu Basin, the mean people are willing to pay for eco-compensation is 287.344 CNY/person/year. 2) The significant factors influencing willingness to pay are recognition of the importance of watershed protection; the impact of the watershed environment on people’s lives; annual incomes; and perceived improvements to the watershed environment over the past five years. 3) Awareness of the need for environmental protection can encourage people to pay eco-compensation. This study provides references that governments can use to formulate and implement eco-compensation policies and hence promote public participation in those policies.

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Section: Discussionmentioning

confidence: 99%

Public willingness to pay watershed eco-compensation in China’s Taihu basin: A case study

Deng

Li²,

Chen³

et al. 2022

Front. Environ. Sci.

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“…Control variables: (1) Land transfer. Farmers' land transfer behaviors will inhibit the adoption of green production technologies, as measured by "whether to transfer in or out of the land" [31]. If farmers transfer out of their land, they may no longer or rarely operate their own farming business, so they will not adopt environmentally friendly agricultural technologies with high conversion costs; if farmers transfer into their land, they are more likely to adopt "short-sighted" behavior in their transferred land due to the current poorly regulated transfer and short transfer cycle.…”

Section: Variable Selectionmentioning

confidence: 99%

Farmers’ Endowments, Technology Perception and Green Production Technology Adoption Behavior

Sui

Gao

2023

Sustainability

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The motivation of this paper is to explore the influence of farmers’ endowments and technology perceptions on farmers’ green production technology adoption behaviors. Based on a survey of 471 grain farmers in the main grain-producing areas of Shandong Province, the Heckman model was used to empirically analyze the influence of farmers’ endowments on their adoption behavior of green production technologies, and the moderating effect of technology perception on the relationship between the two was further investigated. The study showed that: (1) More than half of the farmers adopted more than three green production technologies, and only 11.5% did not adopt them. In terms of adoption structure, the adoption rate of green pest control technology was the highest at 67.7%, while the adoption rate of moderate deep pine technology was the lowest at 32.7%. The adoption structure should be further optimized. (2) After controlling for sample selection bias, farmers’ endowments have a significant positive effect on farmers’ green production technology adoption behaviors. The ordinary least square regression overestimates the main effect of farmers’ endowments by 8.5% compared with the Heckman model. (3) Technology cognition can effectively promote the positive effect of farmers’ endowments on green production technology adoption, in which the moderating effect of technology–economic cognition is higher than that of technology–environmental cognition. (4) There is heterogeneity in the effects of farmers’ endowments and technology cognition on different adoption subjects and technology types. The above findings provide an in-depth explanation for activating the endogenous drivers of green agriculture development.

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“…If the coefficient α 2 is significantly positive, it indicates the presence of a moderating effect. Further, to deeply identify the role of nonagricultural labor transfer and agricultural technology utilization, we construct the following mediating effect model, referring to the literature [34,44]:…”

Section: Econometric Modelmentioning

confidence: 99%

The Effect of Farmland Transfer on Agricultural Green Total Factor Productivity: Evidence from Rural China

Dai

Luo

2023

IJERPH

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Exploring the effect and mechanism of farmland transfer on agricultural green total factor productivity (AGTFP) in China is of great significance for exerting the effectiveness of China’s farmland transfer policy and promoting green agricultural development. Based on panel data from 30 provinces from 2005 to 2020, this paper applies a two-way fixed effects model to analyze the impact of farmland transfer on AGTFP, and the mechanism of farmland transfer on AGTFP is also investigated. We find that farmland transfer has a significant and sound promoting effect on AGTFP, with respect to multiple robustness checks; there is heterogeneity regarding the impact of farmland transfer on AGTFP in terms of food functions, and farmland transfer can promote regional AGTFP through nonagricultural labor transfer and agricultural technology utilization. When considering the fact that farmland transfer has increased China’s AGTFP, the Chinese government should continue to adhere to the farmland transfer policy, accelerate nonagricultural labor transfer, improve the level of agricultural technology utilization, and ultimately promote green agricultural development.

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Effect of land transfer on farmers' willingness to pay for straw return in Southwest China

Cited by 28 publications

References 33 publications

Public willingness to pay watershed eco-compensation in China’s Taihu basin: A case study

Public willingness to pay watershed eco-compensation in China’s Taihu basin: A case study

Farmers’ Endowments, Technology Perception and Green Production Technology Adoption Behavior

The Effect of Farmland Transfer on Agricultural Green Total Factor Productivity: Evidence from Rural China

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