Since the reform and opening up, a large proportion of the Chinese rural labor force has transferred to urban and non-agricultural industries. Rural labor transfer not only changes the allocation of household labor in agricultural and non-agricultural sectors but also affects the utilization of other agricultural production factors. Based on data from 818 households in three counties in northern Jiangsu province, this paper analyzed the impact of labor migration on farmers’ adoption of cultivated land quality protection (CLQP) behaviors. The survey results showed that farmers’ awareness of CLQP was still very weak, and the proportion of farmers adopting measures such as subsoiling, straw application, cover crops and green manures and the complementary use of organic fertilizers was still relatively low. The empirical results showed that perennial out-migration for work can constrain households’ protective inputs into soil conservation, but part-time farming locally can promote households’ inputs. The results also showed that farmer characteristics, farming conditions and external environment also significantly affected the farmers’ adoption of soil conservation practices. According to these conclusions, this paper puts forward the corresponding policy implications.

This article established an evaluation system including ecological efficiency that can provide a more accurate financial distress warning for companies. Based on the data of listed companies, Data Envelopment Analysis (DEA) is applied to evaluating the business efficiency, financial efficiency, financing efficiency, human capital efficiency, and ecological efficiency, and the accuracy of the evaluation system that includes ecological efficiency is measured by artificial neural networks (ANNs). Besides, the logit model is applied to test the results. Our experiments indicate that participating in ecological efficiency improves the evaluation system of financial distress warnings, and its accuracy is much better than the traditional evaluation system in the long run. The logit model confirms the essential of ecological indicators in financial distress warning, and the behavior of observing environmental regulation will prevent enterprises from getting into financial distress. Finally, suggestions on improving green finance and promoting technological innovation are propounded, in which technological innovation (TI) is the core of an enterprise’s competitiveness, and green finance can accelerate that process.