Time-varying impacts of green credit on carbon productivity in China: New evidence from a non-parametric panel data model.

In the context of global climate change threatening human survival, and in a post-pandemic era that advocates for a global green and low-carbon economic recovery, conducting an in-depth analysis to assess whether green finance can effectively support low-carbon economic development from a dynamic perspective is crucial. Unlike existing research, which focuses solely on the average effects of green credit (GC) on carbon productivity (CP), we introduce a non-parametric panel data model to investigate GC's impact on CP across 30 provinces in China from 2003 to 2021, verifying a significant time-varying effect. Specifically, during the first phase (2003-2008), GC negatively impacted CP. In the second phase (2009-2014), this negative influence gradually diminished and transformed into a positive effect. In the third phase (2015-2021), GC continued to positively influence CP, although this effect became insignificant during the pandemic. Further subgroup analysis reveals that in the regions with low environmental regulations, GC did not significantly boost CP throughout the sample period. In contrast, in the regions with high environmental regulations, GC's positive effect persisted in the mid to late stages of the sample period. Additionally, compared to the regions with low levels of marketization, the impact of GC on CP was more pronounced in highly marketized regions. This indicates that the promoting effect of GC on CP depends on strong support from environmental regulations and well-functioning market mechanisms. By adopting a non-parametric approach, this study reveals variations in the impact of GC on CP across different stages and under the influence of the pandemic shock, offering new insights into the relationship between GC and China's CP.

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The water conservation service function, which is one of the most important ecological service function in the regional system, directly reflects the regulation role of a region in precipitation, the redistribution function of precipitation, and the ecohydrological value. With the development of the comprehensive evaluation method and the deepening of research on water conservation service function, relevant evaluation calculation process has changed significantly. Nowadays, in the assessment of the water conservation service function, it is necessary not only to calculate and evaluate relevant indicators, but also to localize specific parameters in the model and analyze the effectiveness of the overall model for specific study areas. However, the current literature review lacks systematic summaries of model evaluation methods. Meanwhile, the review is also insufficient on model validity verification and significance analysis methods, the result verification and applicability analysis methods such as parameter localization in water conservation studies. We reviewed the research advance on typical ecosystem water conservation ser-vice assessment methods with a specific focus on the model assessment methods that have developed rapidly in recent years. At the same time, we summarized methods commonly used for parameter localization, as well as validity testing and sensitivity analysis of simulation results, and discussed existing problems and future directions in this field.

Evaluation of future wetland changes under optimal scenarios and land degradation neutrality analysis in the Guangdong-Hong Kong-Macao Greater Bay Area.

Wetlands are one of the most productive ecosystems on Earth and are also focused on by the Sustainable Development Goals (SDGs). However, global wetlands have suffered from considerable degradation due to rapid urbanization and climate change. To support wetland protection and SDG reporting, we predicted future wetland changes and assessed land degradation neutrality (LDN) from 2020 to 2035 under four scenarios in the Guangdong-Hong Kong-Macao Greater Bay Area (GBA). A simulation model combining random forest (RF), CLUE-S and multi-objective programming (MOP) methods was developed to predict wetland patterns under the natural increase scenario (NIS), economic development scenario (EDS), ecological protection and restoration scenario (ERPS) and harmonious development scenario (HDS). The simulation results indicated that the integration of RF and CLUE-S achieved good simulation accuracy, with OA over 0.86 and kappa indices over 0.79. From 2020 to 2035, the mangrove, tidal flat and agricultural pond increased while the coastal shallow water decreased under all scenarios. The river decreased under NIS and EDS, while increased under ERPS and HDS. The Reservoir decreased under NIS, while increased under the remaining scenarios. Among scenarios, the EDS had the largest built-up land and agricultural pond, and the ERPS had the largest forest and grassland. The HDS was a coordinated scenario that balanced economic development and ecological protection. Its natural wetlands were almost equal to these of ERPS, and its built-up land and cropland were almost equal to these of EDS. Then, the land degradation and SDG 15.3.1 indicators were calculated to support the LDN target. From 2020 to 2035, the ERPS had a smallest gap of 705.51 km2 from the LDN target, following the HDS, EDS and NIS. The SDG 15.3.1 indicator was lowest under the ERPS, with a value of 0.85 %. Our study could offer strong support for urban sustainable development and SDGs reporting.

Innovation and green total factor productivity in China: a linear and nonlinear investigation.

The empirical conclusions regarding the influence of innovation on green total factor productivity (GTFP) are relatively mixed. Based on China's provincial panel data from 1999 to 2015, this paper uses the number of patent applications to measure regional innovation capacity, and comprehensively examines the linear and nonlinear effects of innovation on GTFP. Our results show that innovation plays a leading role in promoting GTFP growth in China in general. However, two different types of patents, invention patents, and non-invention patents have heterogeneous impacts on China's green growth under the difference of innovation level. Additionally, the relationship between innovation and China's GTFP also differs significantly before and after 2009. A further nonlinear effect analysis based on a panel threshold model reveals that the impact of innovation on GTFP is higher with the rise of human capital, knowledge stock, and financial development. However, only the appropriate environmental regulation stringency is conducive to promoting the influence of innovation on China's green growth. Overall, our findings contribute to a better understanding regarding the impact of innovation on GTFP in China.

Coordination Study on Ecological and Economic Coupling of the Yellow River Basin.

The coupling and coordination relationship between ecology and the economy in the Yellow River Basin is a hot topic in sustainable development research. Said research has important guiding significance for the ecological security and comprehensive development of the Yellow River Basin. Taking the Yellow River Basin as the object of our study, based on the data of the economy, energy consumption data, ecology data and water resources data, we construct an indicator system of the economic development and ecological status of the Yellow River Basin and use the principal component analysis method to calculate the economic development and ecological status index. Then, we use the evaluation method, the coupling degree model and the coupling coordination degree model to analyze the time and space evolution trends of economic development and ecological state, coupling degree and coupling coordination degree. The results show that: (1) From 2000 to 2018, the economic development index of the Yellow River Basin rose steadily; the ecological status index showed a slow rise and then a downward trend. (2) The degree of coupling between economic development and ecological state has been considered as intensity coupling after 2005. The coupling trend slowly increased and then decreased, indicating that the interaction effect between the economy and ecology was first significantly enhanced and then slowly weakened. (3) The degree of coupling coordination increased from 0.2994 to 0.6266 and then decreased to 0.5917, reflecting the continuous improvement of the relationship between the regional economy and the ecological environment and the trend toward coordination. From 2015 to 2018, due to the gradual increase in the difference between economic development and ecological conditions, the coupling and coordination between the two decreased. Studies have shown that ecological construction and protection should be strengthened to ease the contradiction between the economy and ecology and achieve coordinated development.

A Strategy for Accurate Quantification of 5-Methylcytosine and 5-Hydroxymethylcytosine at CpG Sites Within Gene Promoter.

5-Methylcytosine (5mC) can be converted to 5-hydroxymethylcytosine (5hmC) in mammalian DNA by the ten-eleven translocation (TET) enzymes. Traditional bisulfite-based DNA methylation analysis techniques have been widely used in the detection of 5mC. However, they can not discriminate 5hmC from 5mC, leading to overestimate 5mC levels. We here introduce a strategy, combination of selective oxidation and bisulfite pyrosequencing (BS-Pyroseq), for quantification of both 5mC and 5hmC at CpG sites within the promoters of CDH1, DAPK, RARß and RUNX3 genes in a panel of cell lines and clinical samples. As expected, oxidative bisulfite pyrosequencing (oxBS-Pyroseq) assay decreased overall or site-specific methylation levels of three of these genes in most cell lines as compared with BS-Pyroseq assay. Similarly, decreased overall or site-specific methylation levels of DAPK, RARß and RUNX3 genes in laryngeal, gastric and thyroid cancer and their matched normal tissues, respectively, were also found by a comparison between these two techniques, particularly in cancerous tissues. In addition, by using this combined strategy and hydroxymethylcytosine DNA immunoprecipitation (hMeDIP) assay, we demonstrated that TET1 up-regulated DAPK expression through promoter demethylation. Collectively, this strategy is easy to establish and accurately discriminates and quantifies 5mC and 5hmC at CpG sites within selected gene promoters.

Assessment of molecular testing in fine-needle aspiration biopsy samples: an experience in a Chinese population.

Fine-needle aspiration biopsy remains the mainstay for preoperative examination of thyroid nodules; however, it does not provide a definite diagnosis in up to 25% of nodules. Considerable studies have been performed to identify molecular markers to resolve this diagnostic dilemma. The aim of this study was to establish the distribution and frequency of common genetic alterations in a comprehensive set of benign and malignant thyroid nodules, and to determine the feasibility and role of testing for a panel of genetic alterations in improving the accuracy of cytology diagnosis in a Chinese population. This study was conducted in 314 thyroid nodules comprising 104 papillary thyroid carcinomas, 13 suspicious nodules, 52 indeterminate nodules, and 145 benign nodules. Point mutations and RET/PTC rearrangements, were evaluated by pyrosequencing and TaqMan real-time PCR, respectively. After surgery, 115 nodules were confirmed as conventional papillary thyroid carcinoma and 102 (88.70%) of these nodules harbored either the BRAF(V600E) mutation (76.52%) or RET/PTC rearrangements (12.17%). RAS mutation was found in 1 (33.33%) follicular thyroid carcinoma, 1 (14.29%) follicular thyroid adenoma and 4 (10%) goiter nodules. With cytology and molecular testing, the diagnostic accuracy was further increased to 98.82% in papillary thyroid carcinoma diagnosis, and was preoperatively increased to 76.92% and 84.00%, respectively, in nodules with suspicious and indeterminate cytology. In conclusion, molecular testing of a panel of genetic alterations in fine-needle aspiration biopsy can be effectively performed in clinical practice. It enhances the accuracy of cytology and is of particular value for indeterminate nodules in the Chinese population.

Quantitative assessment of gene methylation and their impact on clinical outcome in gastric cancer.

BACKGROUND: Promoter methylation is an alternative mechanism of gene silencing in human tumorigenesis. Although a number of methylated genes have been found in gastric cancer, useful methylation markers for early diagnosis and prognostic evaluation of this cancer remain largely unknown. METHODS: Using quantitative methylation-specific PCR (Q-MSP), we examined promoter methylation of 6 genes, including CALCA, DAPK1, RARbeta, RASSF1A, TIMP3, and PAX6, and explored their association with clinical outcome in gastric cancer. RESULTS: We found that most of the genes investigated in the present study had significantly higher methylation level in tumor tissues than normal gastric tissues, including CALCA, RARbeta, RASSF1A, TIMP3, and PAX6. With more focus on specificity compared to sensitivity, all genes were hypermethylated in gastric cancer, ranging from 12.8% to 36.9%. Methylation of TIMP3 and PAX6 was strongly associated with differentiation and lymph node metastasis, respectively. Importantly, most of gene methylation, except for DAPK1, was closely associated with poor survival in gastric cancer. CONCLUSION: We found that a panel of genes was specifically methylated in gastric cancer, and demonstrated the effect of promoter methylation of some genes on clinical outcome in gastric cancer, indicating these methylated genes may be useful biomarkers for prognostic evaluation in this cancer.

Integrated soil-crop system management for food security.

China and other rapidly developing economies face the dual challenge of substantially increasing yields of cereal grains while at the same time reducing the very substantial environmental impacts of intensive agriculture. We used a model-driven integrated soil-crop system management approach to develop a maize production system that achieved mean maize yields of 13.0 t ha(-1) on 66 on-farm experimental plots--nearly twice the yield of current farmers' practices--with no increase in N fertilizer use. Such integrated soil-crop system management systems represent a priority for agricultural research and implementation, especially in rapidly growing economies.