Preferences in Farmland Eco-Compensation Methods: A Case Study of Wuhan, China
Abstract
:1. Introduction
2. Methods and Materials
2.1. Methodology
2.2. Study Area
2.3. Data
3. Empirical Results
3.1. Empirical Results of Citizens
3.1.1. Analysis of Citizens’ Preference
- (1)
- Rent-seeking or corruption can be avoided if farmland eco-compensation is implemented in a monetary way and farmers can choose how to use the money. Compensation money can be directly compensated to farmers, avoiding transmission through governments at all levels, and reducing the opportunity for the government to use the power to intervene and embezzle. Citizens may be supportive of letting farmers have more choices in their production and life by providing money.
- (2)
- Citizens’ private time will be occupied if they choose the non-monetary compensation method, which makes them less likely to choose those methods. Moreover, the citizens were more likely to provide compensation methods that could help farmers improve their living standards in a sustainable way (in-kind and technological compensation methods). Citizens put a higher value on technological compensation because citizens’ education levels were typically higher than that of farmers, which made the technological compensation method easier to accept by citizens rather than farmers.
3.1.2. Socio-Demographic Characteristics of Citizens
3.1.3. Econometric Results of MNL Model on Citizens
3.2. Empirical Results of Farmers
3.2.1. Analysis of Farmers’ Preference
- (1)
- Monetary compensation is the most favored compensation method due to its simplicity, directness and being less likely to be corrupted by the relevant department. Monetary compensation also gives farmers more choices. After the compensation funds are distributed to the farmers, the control will be completely owned by the farmers. Farmers can purchase materials and agricultural machinery according to their actual needs and make the best use of the compensation.
- (2)
- Farmers appear to hope that the local government can take some measures on preferential policies, such as reducing the taxes on the farmer-owned property.
- (3)
- They also appear to desire to learn about new technologies and improve their income in the long term. However, there are still many farmers who do not appear to realize the advantages and importance of professional training. Instead, they believe that participating in training takes up time and has no significant effect on current family income. In addition to the lack of farmers’ own comprehension, the government also has improper considerations. For example, the training is not integrated with the local condition, and targeted training cannot be conducted according to farmers in different situations. These are likely reasons that made technology compensation less popular among farmers.
- (4)
- Farmers strongly disliked the in-kind compensation because it may easily lead to rent-seeking. In the process of distributing and receiving materials, it is inevitable that there will be losses and reductions in materials. Moreover, there are a large number of farmers in the region, which makes it is difficult to meet all their needs simultaneously. Different farmers have different needs for agricultural materials, and the materials provided by compensation are probably not what the farmers need or want. For this reason, farmers are less likely to choose the in-kind compensation method. In the long run, technical compensation can help farmers learn advanced technologies and have new survival skills even after losing their farmland.
3.2.2. Socio-Demographic Characteristics of Farmers
3.2.3. Econometric Results of MNL Model on Farmers
4. Discussion
5. Conclusions and Policy Implications
5.1. Conclusions
5.2. Policy Implications
- (1)
- As the beneficiaries of farmland eco-compensation, farmers should strengthen their independent participation in farmland protection, improve the utilization efficiency of compensation, seize the opportunity to learn advanced agricultural technology, pay attention to agricultural policies and finally improve their life satisfaction and family income. As free recipients of farmland ecological services and products, citizens should actively participate in farmland protection and eco-compensation and supervise government policy formulation and management. These methods could avoid government failures and promote the transparent and efficient operation of eco-compensation policies. For citizens, the government should strengthen policy publicity on the importance of farmland in ensuring food security, maintaining biodiversity and promoting environmental improvement, showing society that farmland has essential ecological service value and improve the enthusiasm of the public to participate in farmland protection and compensation.
- (2)
- For the government, despite monetary compensation being the main method of compensation, a diversified form of compensation should also coexist. When formulating compensation policies, it can be learned from the practices of the Chengdu Cultivated Land Protection Fund and provide the compensation funds in the form of farmers’ pension subsidies. In the follow-up management, there is a certain need to improve the supporting system of eco-compensation. It is necessary to establish an eco-compensation supervision mechanism, avoid rent-seeking and corruption and provide institutional guarantees for the eco-compensation mechanism of farmland to promote its effective and efficient implementation. Particularly, an eco-compensation policy evaluation mechanism should be established to dynamically evaluate the implementation of farmland eco-compensation and timely adjust and optimize it according to farmers’ needs and the actual implementation of compensation policy.
- (3)
- When making decisions, the decision-makers of farmland management need to fully consider who the beneficiaries of eco-compensation are and who provide eco-compensation, and understand the preferences of different stakeholders. It can not only mobilize the enthusiasm of farmers for protecting the ecological environment of farmland and improving their living standards but also for citizens to participate in eco-compensation projects, which is helpful for government departments to raise compensation funds. In addition, farmland eco-compensation should be based on local conditions, fully considering the heterogeneity of farmers, and different compensation strategies should be formulated for different groups in different regions so as to improve the incentive effects of policies.
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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Variables | Definition | Value | Mean Value |
---|---|---|---|
Water | The degree of importance of water quality | 5-point Likert Scale | 4.1707 |
Fertility | The degree of importance of decreasing farmland fertility | 5-point Likert Scale | 3.7042 |
Air | The decreasing degree of air quality | 5-point Likert Scale | 4.1303 |
Income | Monthly income of the respondent | 1000 Yuan | 9.238 |
Holder | Whether the respondent is a household owner or not | 1/0 | 0.3713 |
Age | The age of the respondent | Year | 32.6703 |
Method | Coef. | Odds Ratio | Std.Err. | z | P > z |
---|---|---|---|---|---|
In-kind | |||||
Water | −0.4101 | 0.6636 | 0.2367 | −1.73 | 0.083 |
Fertility | 1.0992 | 3.0017 | 0.3125 | 3.52 | 0.000 |
Air | −0.7371 | 0.4785 | 0.2271 | −3.25 | 0.001 |
Income | 0.0001 | 1.0001 | 0.0000 | 3.05 | 0.002 |
Holder | 1.2556 | 3.5099 | 0.6226 | 2.02 | 0.044 |
Age | 0.0430 | 1.0439 | 0.0176 | 2.44 | 0.015 |
_cons | −5.8107 | 0.0030 | 1.7461 | −3.33 | 0.001 |
Technology | |||||
Water | −0.3381 | 0.7131 | 0.2055 | −1.65 | 0.100 |
Fertility | 0.3513 | 1.4210 | 0.2426 | 1.45 | 0.148 |
Air | −0.1371 | 0.8719 | 0.2073 | −0.66 | 0.508 |
Income | 0.0000 | 1.0000 | 0.0000 | 0.84 | 0.399 |
Holder | 0.9828 | 2.6718 | 0.5414 | 1.82 | 0.069 |
Age | 0.0569 | 1.0585 | 0.0149 | 3.81 | 0.000 |
_cons | −4.9958 | 0.0068 | 1.5880 | -3.15 | 0.002 |
Policy | |||||
Water | 0.3244 | 1.3833 | 0.2827 | 1.15 | 0.251 |
Fertility | −0.1302 | 0.8779 | 0.2665 | −0.49 | 0.625 |
Air | −0.0152 | 0.9849 | 0.2372 | −0.06 | 0.949 |
Income | −0.0001 | 0.9999 | 0.0001 | −1.91 | 0.056 |
Holder | 0.4720 | 1.6031 | 0.6552 | 0.72 | 0.471 |
Age | −0.0047 | 0.9954 | 0.0233 | −0.20 | 0.842 |
_cons | −2.7975 | 0.0610 | 2.1091 | −1.33 | 0.185 |
Variables | Description | Value | Mean Value |
---|---|---|---|
Participation | Whether the farmer has participated in farmland protection activity or not | 1/0 | 0.0579 |
Support | Whether the farmer support farmland protection activities or not | 1/0 | 0.9607 |
Gender | The gender of the farmer, male = 1, otherwise = 0 | 1/0 | 0.5744 |
Age | The age of the farmer | Year | 50.6021 |
Income | Annual income of the respondent’s family | 1000 Yuan | 21.1684 |
Method | Coef. | Odds Ratio | Std.Err. | z | P > z |
---|---|---|---|---|---|
In-kind | |||||
Participation | 2.2727 | 9.7055 | 0.9212 | 2.47 | 0.014 |
Support | −2.3839 | 0.0922 | 1.2592 | −1.89 | 0.058 |
Gender | 0.4211 | 1.5236 | 0.7949 | 0.53 | 0.596 |
Age | 0.0020 | 1.0020 | 0.0302 | 0.06 | 0.948 |
Income | 0.0000 | 1.0000 | 0.0000 | 1.31 | 0.191 |
_cons | −2.6928 | 0.0677 | 2.0483 | −1.31 | 0.189 |
Technology | |||||
Participation | 1.2965 | 3.6563 | 0.6220 | 2.08 | 0.037 |
Support | 12.7647 | 349,657.7158 | 1025.8440 | 0.01 | 0.990 |
Gender | 1.0223 | 2.7795 | 0.4441 | 2.30 | 0.021 |
Age | −0.0380 | 0.9627 | 0.0157 | −2.43 | 0.015 |
Income | 0.0000 | 1.0000 | 0.0000 | 1.80 | 0.071 |
_cons | −14.3556 | 0.0000 | 1025.8440 | −0.01 | 0.989 |
Policy | |||||
Participation | −0.2628 | 0.7689 | 0.8347 | −0.31 | 0.753 |
Support | 13.1710 | 524,914.1477 | 896.1392 | 0.01 | 0.988 |
Gender | 0.8208 | 2.2723 | 0.3756 | 2.19 | 0.029 |
Age | −0.0492 | 0.9520 | 0.0143 | −3.44 | 0.001 |
Income | 0.0000 | 1.0000 | 0.0000 | −0.61 | 0.542 |
_cons | −12.8554 | 0.0000 | 896.1396 | −0.01 | 0.989 |
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Yang, X.; Zhou, X.; Cao, S.; Zhang, A. Preferences in Farmland Eco-Compensation Methods: A Case Study of Wuhan, China. Land 2021, 10, 1159. https://doi.org/10.3390/land10111159
Yang X, Zhou X, Cao S, Zhang A. Preferences in Farmland Eco-Compensation Methods: A Case Study of Wuhan, China. Land. 2021; 10(11):1159. https://doi.org/10.3390/land10111159
Chicago/Turabian StyleYang, Xin, Xiaohe Zhou, Shuwen Cao, and Anlu Zhang. 2021. "Preferences in Farmland Eco-Compensation Methods: A Case Study of Wuhan, China" Land 10, no. 11: 1159. https://doi.org/10.3390/land10111159
APA StyleYang, X., Zhou, X., Cao, S., & Zhang, A. (2021). Preferences in Farmland Eco-Compensation Methods: A Case Study of Wuhan, China. Land, 10(11), 1159. https://doi.org/10.3390/land10111159