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The purpose of this paper is to examine the effect of perceived land tenure security in China on farmers' decisions to invest in relatively long‐term land quality improvement measures, taking into account the potential endogeneity of tenure security.

Data from a survey held in 2008 and 2010 among 259 households in Minle County, Gansu province, covering the years 2007 and 2009, are used to estimate the factors affecting land levelling investments, irrigation canal investments and perceived land tenure security. The authors use the 2SCML technique and the IVLS method to estimate a selection model and a non‐limited regression model, respectively, and use IVP methods to examine the robustness of the results.

The authors' results indicate that perceived land tenure security significantly affects self‐governed investments but does not affect individual investments in land quality improvements. In particular, the authors find that households that consider land certificates as important for protecting land rights invest significantly more in irrigation canals construction and maintenance. The authors' results further provide evidence that individual investments in land quality improvement contribute to higher perceived land tenure security.

The paper contributes to the available literature on the relationship between land tenure security and land investments by examining the role of perceived (instead of formal) land tenure security and by making a distinction between individual household investments and self‐governed land investments. The authors' results provide an explanation for the phenomenon that land readjustments still take place in some parts of China, but not in others.

This paper aims to enhance the machining accuracy of hybrid robots by treating the moving platform as the first joint of a serial robot for direct position measurement and integrating external grating sensors with motor encoders for real-time error compensation.

Initially, a spherical coordinate system is established using one linear and two circular grating sensors. This system enables direct acquisition of the moving platform’s position in the hybrid robot. Subsequently, during the coarse interpolation stage, the motor command for the next interpolation point is dynamically updated using error data from external grating sensors and motor encoders. Finally, fuzzy proportional integral derivative (PID) control is applied to maintain robot stability post-compensation.

Experiments were conducted on the TriMule-600 hybrid robot. The results indicate that the following errors of the five grating sensors are reduced by 94%, 93%, 80%, 75% and 88% respectively, after compensation. Using the fourth drive joint as an example, it was verified that fuzzy adaptive PID control performs better than traditional PID control.

The proposed online error compensation strategy significantly enhances the positional accuracy of the robot end, thereby improving the actual processing quality of the workpiece.

This method presents a technique for achieving online error compensation in hybrid robots, which promotes the advancement of the manufacturing industry.

This paper proposes a cost-effective and practical method for online error compensation in hybrid robots using grating sensors, which contributes to the advancement of hybrid robot technology.

This study aims to explore the influencing factors of online tourism service quality to clarify the relationship between such factors and the degree of influence so that targeted and effective measures to improve service quality can be suggested.

A questionnaire is used to obtain original data, establish the fuzzy cognitive map (FCM) structure chart model and modify the model.

The results reveal that comprehensive service types, comprehensive information provided, true and accurate, upgrade and update, payment security, data and information security, customer rights and interests protection, service friendliness and evaluation processing are the key influencing factors in online tourism service quality. In addition, the FCM can also predict the improvement of service quality.

To establish an FCM model, this study establishes the evaluation framework of influencing factors of online tourism service quality and identifies the cause and effect of 26 indicators. The mechanism of influencing factors of online tourism service quality is explored through the iteration of the model.