Do pilot free trade zones promote green innovation efficiency in enterprises? -Evidence from listed companies in China.

The establishment of the China Pilot Free Trade Zone complies with the concept of sustainable development, and its construction can not only realize trade liberalization and facilitation but also activate the green innovation momentum of enterprises to help solve China's current dilemma of sustainable development and economic growth. This paper is the first to consider the impact of the establishment of the pilot free trade zone from the perspective of enterprise green innovation efficiency, providing a direct answer to the key question of whether the construction of the pilot free trade zone can truly serve the high-quality development of the economy in the new era, and enriching the theoretical research on the enterprise green innovation efficiency macro-drivers related theoretical research. In addition, this paper uses the super-efficient EBM-GML model to measure the level of green innovation efficiency of enterprises, on the basis of this, it adopts the multi-stage differences-in-differences method used to evaluate the impact of the establishment of the pilot free trade zone on the green innovation efficiency of enterprises. According to the benchmark regression results, the establishment of the pilot free trade zone has promoted the degree of green innovation efficiency of enterprises, and this promotion effect is sustainable. This conclusion was validated by robustness tests. Heterogeneity testing confirms that the pilot free trade zone has a significant influence on the green innovation efficiency of enterprises in heavy pollution industries, non-state-owned enterprises and patent-intensive enterprises. With the enhancement of environmental regulations, the green innovation efficiency of enterprises shows significant improvements. The analysis of the transmission mechanism shows that the pilot free trade zone influences the green innovation efficiency of enterprises primarily through the cost reduction effect, tax incentive effect, and reverse technology spillover effect. This study clarifies whether the policy of the pilot free trade zone can boost the green innovation efficiency of enterprises, and provides useful insight for further implementing the strategy of opening up to the world and promoting high-quality economic growth.

How does digital village construction influences carbon emission? The case of China.

Taking 30 provinces in China from 2011 to 2020 as a research sample, this paper empirically tests the impact of digital village construction on carbon emissions. This study found that there is an "inverted U" curve relationship between digital rural construction and rural carbon emissions. Agricultural planting structure and agricultural technology efficiency are important ways for digital village construction to reduce agricultural carbon emissions. The study also found that the higher the level of economic development, the stronger the carbon emission reduction effect of digital village construction. In addition, there are also significant differences in the carbon emission reduction effect of digital village construction in regions with different environmental regulation intensities. Finally, in terms of the relationship between digital economic activities and carbon emission reduction, the research conclusions of this paper have important implications.

Clinicopathologic features and prognostic factors in patients with renal cell carcinoma with sarcomatoid differentiation.

Renal cell carcinoma with sarcomatoid differentiation (RCCs) is rare, accounting for 1-8% of all RCC histological subtypes. In this study, we examined 139 patients with RCCs and aimed to explore their clinicopathologic features and prognostic factors. From January 2007 to January 2019, patients who were pathologically diagnosed with RCCs were included in this retrospective study. Data on clinicopathologic features and overall survival were collected. The expression of CK, vimentin, CK7, and CD10 in the sarcomatoid regions of RCCs was detected. The Kaplan-Meier curves and log-rank tests were used to describe the effect of clinicopathologic characteristics on overall survival. A Cox regression model was used to evaluate risk factors for prognosis. A total of 139 patients with RCCs were identified. The median age at diagnosis was 60 years. The median survival time of all patients was 39 months. The three- and five-year survival rates were 50.2% and 44.0%, respectively. A high pathologic T stage (pT3 and pT4), microvascular invasion, and lymph node metastasis were significant predictors of prognosis. Pathologic T4 stage and lymph node metastasis were independent prognostic factors for overall survival in patients with RCCs. Furthermore, the expression of CD10 was a prognostic factor for overall survival. In this study, a relatively large cohort of patients with RCCs was analyzed. We summarized the clinicopathologic features of RCCs and explored the risk factors for prognosis. Our findings may provide valuable prediction for clinical strategy.