Study on Farmers' Cognition and Willingness to Plant Trees during Collective Forest Right Reform Based on Data from Plain Areas of Henan Province

On the basis of the survey data from plain areas of Henan Province,farmers' cognition and willingness to plant trees in collective forest right reform are studied. According to statistical analysis and regression equation of binary logistic regress analysis,it is generally believed that different participants have various attitudes to the reform,with regard to if planting trees or more,reform variables have a distinct effect,as well as income variable and loaning or lending variable. At last,some advices are put forward,that is,the government should strengthen collective forest right reform,accelerate matching reform and increase policy and financial support to forestry farmers.

Willingness of farmers to participate in food traceability systems:improving the level of food safety

In order to solve frequently emerging food safety problems and adapt to the developing trends in the international food safety field, the Chinese government is establishing and developing food traceability systems. Whether or not food traceability sys- tems can guarantee food safety is a problem well worth discussing. Hence, we constructed a theoretical model to explore the effect of incentives in a food traceability system in order to improve food safety levels. The following results were obtained： enhancing the ef- fectiveness of a food traceability system, increasing the payment to farmers who supply safe agricultural products and strengthening the penalty for unsafe food supply actions are necessary conditions to improve the level of food safety. How to encourage farmers to use food traceability systems is another problem explored in our investigation. Based on a field survey on the willingness of vegetable growers to participate using a vegetable traceability system in Beijing, the first city in China to develop such a system, we used a de- scriptive statistics and a binary logistic regression model to investigate the factors which dominate the decision on the part of farmers to participate in a food safety system. The results indicate that i： younger farmers are more likely to get involved in a food traceability system than older farmers, ii： income from non-agricultural activities decreases the willingness of farmers to participate, iii： the high- er the cost-benefit ratio of growing vegetables, the more likely for farmers to engage in a food traceability system, iv： farmers with a great concern for food safety information have a high propensity to participate and v： increased penalties against unsafe food supply actions and high-risk expectation are adverse incentives. In contrast, high-price expectation is a positive incentive for farmers to par- ticipate, while agricultural training, government subsidies and being part of an industrial organization will significantly strengthen the confidence of farmers to participate in a food safety system.

Influence Factors of Farmers' Willingness to Poverty Alleviation Relocation in South Shaanxi Province

In southern Shaanxi,far from the core areas of politics and economy,the conditions are inconvenient and farmers have been threatened by geology,floods for many years,resulting in a large population of poor people.The relocation of poverty alleviation project in southern Shaanxi is helpful for improving living standards of people in disaster-stricken areas.Based on the field survey,this paper analyzed 274 valid questionnaires and established a Logistic Regression Analysis Model.The result shows that the health status of head of household,road type before relocation,annual loss of disasters,and changes in the family income after relocation have a greater influence on the relocation willingness of farmers,while the educational level of householder,the distance from the original place of residence to the town and market,the condition of household electricity before relocation and other factors have a little influence on the relocation willingness of farmers.

Willingness of Farmers Joining Professional Cooperatives——Based on the Questionnaire Survey of Nanjing

Based on the questionnaire survey of farmers in Nanjing City,the research analyzes the influencing factors of farmers' willingness joining professional cooperatives with Binary Logistic model.Results show that variable factors such as:labors,degrees of education,levels of awareness,development of judgments,have positive relation to the willingness of farmers joining professional cooperatives;gender and financial demands are negative related to willingness of farmers joining professional cooperatives;variable factors,such as ages,degrees of education,numbers of farmers,scale of land,generation experience,specific investment and fluctuations of prices,the estimated parameters of which are not significant.At last,the paper points out that the 2 important ways in accelerating the development of professional cooperatives are:the first is to accelerate the capital accumulation of advanced farmers and strengthen the scaled degrees of agricultural management.The second is to promote the information and techniques accumulation speed of professional farmers to strengthen people's awareness and confidence.

Factors Influencing Farmers' Willingness to Participate in the New Vocational Training

Probit model is applied to analyze some key factors influencing farmers' willingness to participate in the new vocational training for farmers based on 683 questionnaires from 8 districts in Chongqing. The results show that individual and family factors significantly affect farmers' participation will. These factors are age,family scale and years of education. Age is the most important factor,family scale is of secondary importance and years of education are the third one. Meanwhile,years of education positively affect farmers' participation willingness;there is a negative correlation among age,family scale and this willingness. Organizer,rural economic development level and training experience have no significant influence on this willingness.

Study on the Influence of Farmer Social Capital on Cooperative Supply Willingness of Agricultural Disaster Reduction Public Goods——Based on the Investigation on 515 Farmers

Based on social capital theory,related factors of three dimensions( structure dimension,cognition dimension and relation dimension) of farmer social capital are taken as independent variables,and famer's willingness to cooperatively supply agricultural disaster reduction public goods is taken as dependent variable. Taking 515 farmers in 27 villages of Hubei Province as investigation objects,the influence of farmer social capital on cooperative supply willingness of agricultural disaster reduction public goods is explored by Logistic regression model. Research results show that social solidarity,common value concept,social trust and reciprocal content have positive impact on farmer's willingness of cooperative supply,while annual household income,number of agricultural disaster reduction public goods and social network have negative impact on farmer's willingness of cooperative supply.

Factors Influencing Willingness and Ability of Farmers to Adopt New Technologies:A Case Study of Guanzhong Area

Based on data of 248 rural households in Pucheng County and Huxian County,we established the Two-Level Logit Model to analyze the willingness of farmers to adopt new technologies,its influence factors,and probability of successful adoption of new technologies.Results show that the willingness has positive correlation with whether the farmer is head of household,the educational level,occupation,agricultural loan,the number of family labor,and information dissemination channel,while it has negative correlation with non-agricultural employment proportion and whether the farmer is village cadre.In the model of the probability of farmers'successfully adopting new technologies,occupation,agricultural loan,planting area,gender and educational level are positively correlated,while age and non-agricultural employment proportion are negatively correlated.Largescale flow of rural labor plays a negative role in popularization of technologies in rural areas through influencing factors,including number of family labor,non-agricultural employment proportion,educational level,gender,and whether the farmer is village cadre.Finally,on the basis of results of empirical study,we put forward countermeasures and suggestions for strengthening ability of farmers to adopt new technologies.

Investigation on Farmers'Willingness to Participate in Rural Non-point Source Pollution Control in Nantong and Analysis of Its Influencing Factors

Based on the questionnaire survey of 337 farmers in 8 villages in Rugao City,Jiangsu Province,the gender,age and educational level of the main able-bodied people of farm households,the characteristics of farmers’production and living behaviors,farmers’cognition of rural non-point source pollution,and farmers’willingness to pay for rural non-point source pollution control and its influencing factors were studied.The results show that to protect the rural ecological environment,most farmers are willing to participate in rural non-point source pollution control,but the annual cost of rural non-point source pollution control is low,and the number of volunteer days is small.Rural grass-roots party organizations should stimulate farmers’willingness to participate in rural non-point source pollution control,give full play to the role of the branch as a fighting fortress,and build a mechanism for Party building to lead rural non-point source pollution control.

Empirical research on impacted factor of farmer＇s willingness for purchasing information Based on the survey data of Hebei province

Farmer＇s willingness for purchasing information, an important factor of farmer＇s information demand, was analyzed by logit model, according to the survey data of 535 farmers from eleven cities in Hebei province. The result showed that 6 factors had a significant influence on it, that is, education of farmers, per capita income of farmers, the affordability of information risk, the proportion of agricultural labor households, the type of agricultural production and the rural information service stations. On the basis of these, the related policy recommendations were proposed.

Analysis of Factors Influencing Forest Farmers' Enthusiasm for Forest Culture and Management after the Completion of Reform of Collective Forest Right System

Taking Jiangshan City in Zhejiang Province for example,this article uses the binary logit choice model based on the field survey data,to study the factors influencing forest farmers'enthusiasm for forest culture and management after the completion of reform of collective forest right.Finally the following recommendations are put forth:further improving and implementing the forest ecological benefit compensation fund system;reforming the felling management mode and gradually establishing the sustainable forest management system based on forest management plan;improving the technology,market and information services to strengthen the forestry science and technology support;developing the specialty industries such as the bamboo industry and oil-tea camellia industry;developing the under-forest economy and cultivating the underforest industries with characteristics based on the local circumstances.

Analysis of Farmers' Needs for Forestry Information and Technology in Yunnan's Hot Zone: Based on Empirical Survey in Menglian County

Lack of public forestry information and techniques has restricted the development of forestry management and the income increase of rural farmers in hot region of Yunnan province. Therefore it is necessary to provide forestry information and techniques to rural areas so as to compensate for the information gap between urban and rural areas. Based on the survey about farmer demand for information and technique in Menglian County,the paper analyzed the supply methods and demand characteristics of forestry information and techniques. The results showed that the farmers had very strong demands for forestry information and techniques with diversified trend. But the farmers got the information with backward method and single service supply approach,and it lacked effective expression mechanism for their demands.

Analysis of Factors Influencing Farmers' Participation in Forest Farmers Cooperatives Based on Empirical Research of Zhejiang Province

Based on field research data of farmers in Zhejiang Province, the authors analyzed factors influencing farmers' participation in forest farmers cooperatives (hereafter referred to as FFCs) by the binary logistic regression model. Results show that understanding of farmers about cooperatives has a great influence on their behavior of participation in FFCs. Besides, educational level of householders and existing member scale of cooperatives also have significant influence on farmers' behavior of participation in cooperatives. Therefore, it is required to strengthen propaganda of cooperatives, deepen their understanding of cooperatives; cultivate new high quality farmers to provide talents for development of cooperatives; establish incentive mechanism to encourage farmers to participate in cooperatives.

Estimating Urban Households’ Willingness-to-Pay for Upland Forest Restoration in Vietnam

Increased urbanization coupled with increased reliance of urban communities on rural areas for ecosystem service provision is a challenge faced by many nations. The ability of urban households to directly support restoration efforts in surrounding rural regions represents an underappreciated funding stream for ecological restoration. This study explored the willingness of urban households to support forest restoration in Vietnam. We surveyed 211 households (HHs) in the capital city Hanoi, Vietnam. A Maximum Likelihood Estimator (MLE) model allowed us to obtain the parameters of our model and quantify mean Willingness-to-Pay (WTP) for a program of forest restoration in addition to identifying factors influencing the decision of WTP. Generally, over forty percent of the households surveyed are willing to pay for forest restoration and the mean value of WTP is 37,830 VND ($1.73) per household per month. WTP depends on endogenous and exogenous factors including level of education, income, female-to-male ratio in the household, attitude toward payment for monthly electricity consumption, and awareness of payment for environmental service. Our results suggest that urban household’s demand for forest restoration is real, and represents an untapped source of restoration funding. Policy-makers should take actions to apply charges on water bills to turn this potential into reality for restoration projects in Vietnam if the benefits from restoration outweigh the costs based on our findings.

Impact of eco-efficiency compensation for public welfare forests on the incomes of farmers

The strategy of rural revitalization puts ecology and economic development at the same level,in order to explore whether the eco-efficiency compensation policy for public welfare forests can achieve a“win-win”for both ecology and people livelihood.This study probed into the consideration of income structure and used OLS analysis to conduct an empirical analysis on a sample of 443 households in Shaanxi Province.It was found that the eco-efficiency compensation for public welfare forests had not only a significantly positive effect on the forestry income and the total income of farm households,but also had a constructive influence on the non-forestry income,though smaller and less significant,which was closely attributed to the original income structures of these farm households.In addition,personal and household characteristics such as age,educational level and labor force size played decisive roles to nonforestry income and total income of farm households as well.

An agent-based model of agricultural land expansion in the mountain forest of Timor Island,Indonesia

The Mutis-Timau Forest Complex,located on Timor Island,Indonesia,is a mountainous tropical forest area that gradually decreases due to deforestation and forest degradation.Previous modelling studies based on patterns indicate that deforestation primarily occurs at lower elevations and near the boundaries of forests and settlements,often associated with shifting cultivation by local farmers.This study adopts a process-based modelling approach,specifically the agent-based model,to simulate land changes,particularly farmers'expansion of agricultural land around the Mutis mountain forest.The underlying concept of this agent-based approach is the interaction between the human and environmental systems.Farmers,representing the human system,interact with the land,which represents the environmental system,through land use decision-making mechanisms.The research was conducted in the Community Forest of the Timor Tengah Utara District,one of the sites within the Mutis-Timau Forest Complex with the highest deforestation rate.Land use change simulations were performed using agent-based modelling from 1999 to 2030,considering the socio-economic conditions of farmers,spatial preferences,land use decisions,and natural transitions.The results revealed that the agricultural area increased by 14%under the Business as Usual scenario and 5%under the Reducing Emission from Deforestation and Forest Degradation scenario,compared to the initial agricultural area of 245 hectares.The probability of farmers deciding to extend agricultural activities was positively associated with the number of livestock maintained by farmers and the size of the village area.Conversely,the likelihood of farmers opting for agricultural extensification decreased with an increase in the area of private land and the farmer's age.These findings are crucial for the managers of the Mutis-Timau Forest Complex and other relevant stakeholders,as they aid in arranging actions to combat deforestation,designing proper forest-related policies,and providing support for initiatives such as reducing emissions from deforestation and forest degradation programs or further incentive schemes.

Effect Evaluation of Collective Forestry Tenure Reform and Forest Farmers' Willingness to Participate in the Reform: A Case Study of Shaowu, Fujian Province

Since 2003, China has carried out the pilot of collective forest tenure reform (CFTR). Inrecent years, there have been lots of researches about evaluation of the CFTR, which are, however,mostly qualitative research with little focus on the quantitative research. This paper used the AnalyticHierarchy Process (AHP) and expert assignment method to define the comprehensive evaluation indexes and monitoring indexes of the CFTR. In this study, the authors did a quantitative evaluation of the CFTR in Shaowu, Fujian Province, which was scored as 0.844, indicating more significant effect. The authors investigated 100 farmer households there, and the data showed that the average household income has grown by 49.2% in the 6 years after the CFTR implementation, while the forestry incomehas grown by 108.3%, indicating that farmers’ income increased significantly after the CFTR. Factor analysis shows that CFTR has been the key factor to increase farmers’ income.

社交媒体使用、媒介素养与新型职业农民创新意愿

农村创新创业活动的开展首先要激发新型职业农民的创新意愿。然而,当前对社交媒体与新型职业农民创新意愿关系的研究仍显薄弱。基于367位新型职业农民样本,文章尝试以创新扩散理论和计划行为理论为基础构建研究模型,探索社交媒体使用、媒介素养和新型职业农民创新意愿之间的关系。研究结果表明:新型职业农民的社交媒体使用不仅可以直接促进其创新意愿的提升,也可以通过创新主观规范和感知创新行为控制中介变量发挥作用;社交媒体使用对影响新型职业农民创新的主观因素和客观因素具有正面效应;新型职业农民的媒介素养在此过程中起到了积极的调节作用,强化了社交媒体使用与创新态度、创新主观规范和感知创新行为控制之间的关系。

农户分化视域下宅基地确权与闲置宅基地治理意愿研究——基于安徽省试点地区1705个农户问卷的实证分析

引导农户积极参与闲置宅基地治理,对破解农村宅基地低效利用问题具有重要现实意义。研究以新一轮宅基地制度改革试点地区安徽省金寨县和来安县为研究区域,基于1705个农户调查数据,采用二元Logistic回归模型,研究宅基地确权、农户分化对农户闲置宅基地治理意愿的影响。实证结果表明:宅基地确权对农户参与闲置宅基地治理具有促进作用且宅基地确权对不同类型农户参与闲置宅基地治理意愿影响具有异质性。异质性分析发现,宅基地确权对纯农户参与闲置宅基地治理意愿有抑制作用;对于兼业农户和金寨县农户,宅基地确权对其参与闲置宅基地治理意愿无显著影响;对于非农就业和来安县农户,宅基地确权明显促进其参与闲置宅基地治理。

Factors influencing farmer willingness to plant forage triticale in winter fallow fields in Northern China:An example from central Shanxi Province

Background:Using winter fallow fields for plant forage is important to ensure food security.Forage triticale(×Triticosecale)has higher yields than other available forage crops and can be planted widely in winter fallow fields.Recently,the planted area of forage triticale in Shanxi Province,China,has exceeded 3500 ha;however,problems such as low farmer willingness to plant(WTP)winter forage still remain.Methods:A total of 219 farmers were surveyed in Taiyuan,Lvliang,and Jinzhong.We analyzed the factors influencing farmer WTP forage triticale,focusing on personal,family,land,and cognition characteristics.We used a binary logistic regression model to quantify the influence of various factors on farmer behavior and conducted a robustness check and heterogeneity analysis.Results:“Age”was negatively correlated with farmer WTP—farmers 50 years of age and older showed less WTP.“Land lease situation”was also negatively correlated with WTP.Factors that positively correlated with WTP were“land areas,”“raising of livestock,”“size of labor force,”and“development prospect.”Conclusions:Many farmers are over 50 years of age,land lessors,and have low WTP winter forage.Farmers who raise livestock and have large labor forces,huge land areas,and good cultivation prospects have a high WTP.This study identifies the factors influencing farmers'WTP to assist in the development of the forage triticale industry in the study region,improving land resource utilization and efficiency.The findings are likely to have wider relevance and application.

Empirical Analysis of Forest Landscape Value Assessment:A Case Study of Huangshui Forest Park in Xining,Qinghai Province

Questionnaire survey and CVM were adopted to evaluate economic value of Huangshui Forest Park in Xining,Qinghai.Value of its forest landscapes was assessed,multiple linear regression was established to analyze correlation between factors related to willingness-to-pay(WTP).