How to promote technological innovation with green finance policy has been a focal topic in the global field recent years. Using difference-in-difference approach model, this paper investigated impact of Green Credit Guidance (GCG) implemented by Chinese government 2012 on firms pollution-intensive industries. The empirical results indicated that GCG had negative impact, not only research and development (R&D) input, but also output, impacts different property rights scales were...

In the Asia-Pacific region (APR), extreme precipitation is one of most critical climate stressors, affecting 60% population and adding pressure to governance, economic, environmental, public health challenges. this study, we analyzed spatiotemporal trends in APR using 11 different indices revealed dominant factors governing amount by attributing its variability frequency intensity. We further investigated how these are influenced El Niño-Southern Oscillation (ENSO) at a seasonal scale. The...

Abstract Climate change is closely monitored and numerous studies reports increasing air temperature weather extremes across the globe. As a direct consequence of increase global temperature, increased heat stress becoming threat to public health. While most climate epidemiological focus on explain risks, strain can be predicted using comprehensive indices such as Universal Thermal Index (UTCI). The Asia–Pacific region prone thermal high population densities in impose health risk. This study...

Due to the large amount of water resources stored in glaciers, permafrost, and lakes, source region Yangtze River (SRYR) is great importance for overall basin flow. For this purpose, a state art review calculations were made period 1957–2013 using observed hydrological meteorological data with balance approach. Actual evapotranspiration was calculated validated by empirical formulas. Water storage change analysis conducted uncertainty boundaries 10-year moving window. Results show that...

Abstract Temperature and precipitation extremes are the dominant causes of natural disasters. In this study, seven indices extreme temperature events in Gansu Province, China, were analysed for period 1961–2017. An abrupt climate shift was recorded during 1980–1981. Thus, study divided into a preshift (before shift) 1961–1980 an aftshift (after 1981–2017. Comparison mean periods performed purpose exploring possible increasing/decreasing patterns. Generalized value (GEV) distribution applied...

We the report results of a coordinated mitigation effort aimed at reducing arsenic (As) exposure in three counties Guizhou province, China. Mitigation occurred 2005 and encompassed 21 villages with 47,000 inhabitants, who were exposed to high levels As their diet through consumption As-contaminated chili peppers corn dried over unventilated stoves that burned coal containing As. The was mined by villagers from local pits. Inhalation air contained contributed approximately 25% daily intake...

This paper offers an empirical analysis of the effects financing channels on innovation and regulatory effect enterprise life cycle based data published from 2008 to 2017 publicly traded companies in China. The results show that government subsidies, tax preferences, self-owned funds, equity have significant positive incentives for innovation, incentive intensity is gradually weakened while bank loans will hinder innovation. impacts various vary with different stages cycle, overall...

To date, the assessment of hydrological climate change impacts, not least on pluvial flooding, has been severely limited by i) insufficient spatial resolution regional models (RCMs) as well ii) simplified description key processes, e.g., convective rainfall generation. Therefore, expectations have high recent generation high-resolution convection-permitting (CPRCMs), to reproduce small-scale features observed (extreme) that are driving hazards. Are they living up these expectations? In this...

Precipitation extremes and their underlying causes are important processes to understand plan appropriate adaptation measures. This paper presents an analysis of the spatiotemporal variability trend precipitation in source region Yellow River explores connection global teleconnection patterns 850-mb vector wind. Six indices for were computed analyzed assessment a changing regional climate. Results showed that these have strong gradient from northwest southeast part period 1961–2015, due...

Abstract Monthly precipitation data at regular grids of 0.5° × derived from observations during June–August 1961–2016 were used to reveal characteristics large‐scale circulations associated with rainy season over the source region Yangtze River (SRYR). The integrated impact major influencing circulation patterns was examined by principal component analysis and composites. Results showed that first mode associates Southern Oscillation Index (SOI) Pacific Decadal (PDO), explaining 64% spatial...

This article uses 2012–18 China Family Panel Survey (CFPS) panel data to study the impact of government transfer payment receipt on extracurricular tuition expenditure for children urban families requiring aid. Findings have shown that payments increase spending and a positive total family with regard children's education. Heterogeneity tests indicate is significant in central eastern regions China, among above seven years old one-child families. The authors attribute effects parents'...

Abstract Life-history theory predicts that organisms inhabiting harsh environments such as high altitudes should invest less in reproduction and more survival. Testis size is associated with the intensity of male-male competition for mating thus may be treated an indicator male reproductive investment. Hence, it expected will reduce their testis increasingly environments. Here we test this prediction a toad species, Scutiger boulengeri , endemic to Tibetan plateau using data from three...

This paper developed a multi-space prediction model for seasonal precipitation using high-resolution grid dataset (0.5° × 0.5°) together with climate indices. The is based on principal component analyses (PCA) and artificial neural networks (ANN). Trend show that mean annual in the area increasing depending spatial location. For this reason, especially suited purposes. PCA-ANN was examined 64-grid mesh over source region of Yangtze River (SRYR) compared to traditional multiple regression...