A Review of Research on the Responses of Agricultural Households to Eco-Compensation in China
Abstract
1. Introduction
2. Research Framework on Agricultural Households’ Response to Eco-Compensation in China
2.1. Research Scope
2.2. Core Contents
3. The Connotation and Types of Agricultural Households’ Response to Eco-Compensation in China
| Types | Protecting Objects | Specific Changes | References |
|---|---|---|---|
| Reducing production intensity | Farmlands | Fallow | Xie et al., 2022 [17] |
| Grasslands | Reduce grazing | Li et al., 2022 [19] | |
| Forests | Stop farming | Lu et al., 2025 [52] | |
| Aquatic biological resources | Reduce fishing | He and Chen, 2022 [53] | |
| Optimizing production methods | Farmlands | Reducing chemical inputs | Liu et al., 2020 [54] |
| Appling organic fertilizer | Yi et al., 2021 [55] | ||
| Planting green manure | Ntakirutimana et al., 2019 [56] | ||
| Crop rotation | Zhang et al., 2025 [57] | ||
| comprehensive utilization of crop straw | Jiang et al., 2025 [58] | ||
| Grasslands | Manual grass-cutting | Li and Liu., 2023 [21] | |
| Breed improvement | |||
| Cross-regional grazing | |||
| Barn feeding | |||
| Forests | Agroforestry | Zhu and Wang, 2015 [59] | |
| Cultivating economic forests | Liu et al., 2025 [60] | ||
| Watersheds | Paddy land to dry land | Hong et al., 2020 [61] | |
| Changing livelihood types | Multi-field | Non-farm livelihood | Wen et al., 2022 [62] |
| Xu and Feng, 2025 [63] |
4. The Influencing Factors of Agricultural Households’ Response to Eco-Compensation in China
| Factor Types | Subclasses | Specific Indicators or Factor Descriptions | References |
|---|---|---|---|
| Compensation policy and mechanism | Compensation methods | Fund compensation Technology compensation | Yang and Zheng, 2021 [65] |
| Compensation standards | Subsidy amounts | Qiu et al., 2022 [69] | |
| Compensation implementation | Supervision intensity Contract duration | Pang and Jin, 2021 [70] Giefer et al., 2021 [71] | |
| Compensation recognition | Satisfaction Level of trust in policy | Li and Liu., 2023 [21] Xie et al., 2017 [22] | |
| Theory of sustainable livelihood | Vulnerability contexts | Location characteristic Road infrastructure Industrial structure Economic growth | Démurger and Pelletier, 2015 [73] Liu et al., 2024 [74] |
| Livelihood assets | Household size or number of agricultural workers Education level Farmland size Farmland quality Household income Feasibility of loan Possession of houses Possession of livestock Possession of agricultural machines Possession of durable consumer goods Social network Energy structure | Giefer et al., 2021 [71] Sheng et al., 2019 [75] Wei et al., 2021 [76] Liu et al., 2018 [77] Shen et al., 2025 [78] | |
| Transforming structures and processes | In addition to eco-compensation, it also includes related supporting systems such as social security and employment assistance. | Chen, 2023 [79] | |
| Livelihood outcomes | Income change Food safety change Disaster resilience change | Li and Liu., 2023 [21] | |
| Theory of planned behavior | Attitudes toward the behavior | Positive/negative attitudes towards protecting/destroying the ecology Perception of ecological and economic benefits of compensation policies | Deng et al., 2016 [85] Peng et al., 2022 [64] |
| Subjective norms | Pressure from neighbors Trust in the government and people around | Shi et al., 2019 [86] Dai et al., 2025 [84] | |
| Perceived behavioral control | Capacity Policy perception | Shi et al., 2019 [86] Jin et al., 2020 [72] | |
| Behavioral intention | The willingness of households to respond | Pang et al., 2021 [87] |
5. The Effects of Agricultural Households’ Response to Eco-Compensation in China
6. Discussion
7. Conclusions
8. Future Directions
- Strengthening research in key areas and protected areas
- 2.
- Focusing on the correlation between contexts and agricultural households’ responses
- 3.
- Multidisciplinary integration for precise evaluation of ecological effects
- 4.
- Studying the improvement mechanism of agricultural households’ responses
Author Contributions
Funding
Institutional Review Board Statement
Data Availability Statement
Conflicts of Interest
References
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| Effect Types | Study Areas | Evaluation Objects | Key Conclusions | References |
|---|---|---|---|---|
| Economy | Wolong nature reserve in Sichuan | Income growth | Increased PES participation can promote income growth. And PES participation was more beneficial to small and medium farmers than large farmers. | Sheng and Wang, 2022 [88] |
| Miyun reservoir in Beijing and Hebei | Total household income | The paddy land-to-dry land program had a positive but somewhat limited effect on total household income (increase of 2171 CNY/person). | Li et al., 2018 [89] | |
| Nationwide (meta-analysis) | Income with different sources | The Grain for Green Program had a significant positive impact on total income (including subsidies) and off-farm income. | Lu et al., 2025 [52] | |
| Zhouzhi county, in Shaanxi | Income inequality | Overall, income inequality was less among households participating in the Sloping Land Conversion Program than among those that did not after 7 y of the PES program. | Li et al., 2011 [90] | |
| Miyun reservoir in Beijing and Hebei | Benefit–cost ratio | The paddy land-to-dry land program has an overall benefit–cost ratio of 1.5, and both downstream beneficiaries and upstream providers gain from the program. | Zheng et al., 2013 [91] | |
| The middle and lower reaches of the Yangtze River | Livelihood assets | The total index of livelihood assets of retired fishery households has significantly increased, and the coupling coordination degree index of livelihood assets of retired fishery households has significantly increased. | He et al., 2023 [92] | |
| Black river basin in Shaanxi | Energy transition | The Grain-to-Green Program promoted energy transition both directly and indirectly by increasing non-farm income. | Wang et al., 2025 [93] | |
| Ecology | Nationwide | Grassland ecology | NDVI increased by 1.2% in grassland eco-compensation regions from the pre-program period (2006–2010) to the program period (2011–2015). | Hou et al., 2021 [94] |
| Checheng and Jichang in Shanxi | Forest ecology | During 2002–2014, the proportion of the study area in forest cover increased from 57.9% to 63.2%. | Zhang et al.,2020 [95] | |
| Heilonggang low plain area in Hebei | Farmand ecology | In the past two years since the implementation of the crop rotation and fallow system, the soil organic matter in the demonstration zone has increased by 8.6%, and the average content of total nitrogen, available phosphorus, and available potassium in the soil has increased by 15.8%. | Zhao et al., 2018 [96] | |
| Miyun reservoir in Beijing and Hebei | Watershed ecology | The paddy land-to-dry land program increased water yield by 1.82 × 107 m3 per y and reduced total nitrogen and total phosphorus by 10.36 and 4.34 tons per y, respectively. And the increase in water yield is 5% of the average runoff in Miyun Reservoir between 2000 and 2009. | Zheng et al., 2013 [91] |
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Li, Z.; Xu, L.; Teng, W.; Teng, Y.; Liu, M.; Zeng, X. A Review of Research on the Responses of Agricultural Households to Eco-Compensation in China. Agriculture 2026, 16, 108. https://doi.org/10.3390/agriculture16010108
Li Z, Xu L, Teng W, Teng Y, Liu M, Zeng X. A Review of Research on the Responses of Agricultural Households to Eco-Compensation in China. Agriculture. 2026; 16(1):108. https://doi.org/10.3390/agriculture16010108
Chicago/Turabian StyleLi, Zhidong, Lidan Xu, Wangtengfei Teng, Yuwei Teng, Moucheng Liu, and Xiaohong Zeng. 2026. "A Review of Research on the Responses of Agricultural Households to Eco-Compensation in China" Agriculture 16, no. 1: 108. https://doi.org/10.3390/agriculture16010108
APA StyleLi, Z., Xu, L., Teng, W., Teng, Y., Liu, M., & Zeng, X. (2026). A Review of Research on the Responses of Agricultural Households to Eco-Compensation in China. Agriculture, 16(1), 108. https://doi.org/10.3390/agriculture16010108

