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Taking Yucheng, a typical agricultural county in Shandong Province as a case, this study applied Logistic regression models to spatially identify factors affecting farmland changes. Using two phases of high resolution imageries in 2001 and 2009, the study obtained the land use and farmland change data in [2001][2002][2003][2004][2005][2006][2007][2008][2009]. It was found that the farmland was reduced by 5.14% in the period, mainly due to the farmland conversion to forest land and built-up land, although part of forest land and unused land was converted to farmland. The results of Logistic regressions indicated that location, population growth and farmer income were main factors affecting the farmland conversion, while soil types and pro-curvature were main natural factors controlling the distribution of farmland changes. Regional differences and temporal-spatial variables of farmland changes affected fitting capability of the Logistic regression models. The ROC fitting test indicated that the Logistic regression models gave a good explanation of the regional land-use changes. Logistic regression analysis is a good tool to identify major factors affecting land use change by quantifying the contribution of each factor.

Sustainable entrepreneurship is an economic activity that integrates entrepreneurial activities with environmental and social sustainability, which is a frontier research field that integrates the triple bottom line of economy, environment, and society. A comprehensive survey was conducted in this study by collecting data from 203 potential entrepreneurs in China, such as employees with work experience, freelancers, and college students, by means of a questionnaire in March 2022. Structural equation modeling (SEM) was employed to investigate the research hypotheses considered, testing the impact of entrepreneurial intention on sustainable entrepreneurial behavior from the perspective of risk perception and institutional environment. The reliability and validity of the measurements are demonstrated. The outcomes from the conducted analyses show that entrepreneurial intention and risk perception do not directly affect sustainable entrepreneurial behavior, while entrepreneurial intention significantly affects risk perception. Moreover, risk perception serves a mediating role in the relationship between entrepreneurial intention and sustainable entrepreneurship. The institutional environment positively predicts sustainable entrepreneurship behavior and could even have a greater effect by reducing risk perception. Hence, this study suggests that the government should provide policy and financial support to create an open, stable, and inclusive institutional environment, to reduce the cost and risk of innovation and entrepreneurship. At the same time, it also provides theoretical and practical references for potential entrepreneurs to improve their entrepreneurial intention and carry out sustainable entrepreneurial behavior.