Enterprises’ green technology innovation is critical to achieving the “win-win” of enterprise competitiveness and environmental protection. The impact of environmental regulation on green technology innovation by enterprises has been widely considered, but the conclusion has not yet been determined, and needs to be studied in detail. To this end, we studied the impact of pollution charge policy on different types of green technology innovation by industrial enterprises in China. We found that (1) the impact of pollution charges on most types of green technology innovation by enterprises has increased significantly over time; (2) the pollution charge policy has a certain inhibition effect on the end-of-pipe technology innovation, but can promote the process improvement of reducing industrial wastewater emissions; (3) there is a U-shaped relationship between the pollution charges and some green technological innovation (e.g., emission intensity of SO₂, industrial wastewater emission intensity, and industrial wastewater removal intensity), which is dynamically adjusted over time; and (4) the larger the enterprise’s solid assets, the faster the asset depreciation will inhibit the enterprise from adopting the green process innovation strategy.

Innovation subsidy is of great significance to promoting enterprise innovation development. However, in recent years, the frequent occurrence of R&D subsidy deception in China has greatly reduced effectiveness of innovation. From the perspective of the strategic choice motivation of the innovation subject (including the enterprises, research institutions, and local governments), this paper constructs a multiplayer stochastic evolutionary game model. The influence of each variable on the subject strategy adoption is analyzed by simulation. There are two important findings in this paper. First, the paper confirms that there is an optimal boundary for the high subsidies received by enterprises and academic institutions, and the “subsidy boundary” is solved through the model. Second, this paper analyzes the effectiveness of the regulation of each variable through simulation and provides management and policy implications.

Boundary-spanning search for knowledge is an effective way for enterprises to acquire heterogeneous knowledge, and is also an important pre-stage to realize effective knowledge reconstruction. Based on the boundary-spanning search for knowledge theory, this paper studies the relationship between boundary-spanning search for knowledge and the sustainable innovation ability of agricultural enterprises considering the influence of organizational knowledge reconstruction, from a Chinese perspective. A questionnaire survey on agricultural enterprises mainly from Southeast China is conducted, and the hierarchical regression analysis method is utilized to verify five research hypotheses. The results mainly show that (1) boundary-spanning search for technology knowledge (BSSTK) and boundary-spanning search for market knowledge (BSSMK) both have a significant positive impact on the sustainable innovation ability of an agricultural enterprise; (2) organizational knowledge reconstruction plays a partial intermediary role between boundary-spanning search for knowledge (including BSSTK and BSSMK) and the sustainable innovation ability of an agricultural enterprise. From the perspective of boundary-spanning search for knowledge, this paper provides theoretical support for the promotion of sustainable innovation of an agricultural enterprise, which contributes to improving the economic sustainability of agriculture to some extent.