To estimate the synergistic emission reduction effect resulting from carbon emissions trading scheme (ETS) pilots launched in 2013, this study estimated relationship between dioxide (CO2) and atmospheric pollutants, consisting of sulfur (SO2), nitrogen oxides (NOX), dust pollutants (Dust) particulate matter 2.5 (PM2.5). Using extended logarithmic mean Divisia index (LMDI) method IPAT equation, was decomposed into direct indirect categories driven by energy efficiency, economic development...

Insufficient assessment of emission reduction effects still exists in the carbon rights trading system, a major environmental regulation measure China. Based on data from pilot covering years 2007 to 2017, this study combined synthetic control method with dynamic spatial Durbin model comprehensively evaluate policies. The results showed that: ① policies promoted reductions regions, among which Tianjin and Hubei responded significantly, also helped suppress emissions neighboring areas. ②...

China is facing tremendous pressure to reduce carbon emissions. This paper investigates the impact of financial technology (fintech) on emissions reduction across Chinese provincial regions using annual data from 2011 2021. To comprehensively reflect development level fintech, we utilize web crawler and word frequency analysis create new variables for measuring innovation capability, with fintech-related keywords sourced Baidu index. Subsequently, construct a fintech index each province in...

Geoenergy resources are a new type of clean energy. Carbon neutralization and carbon peaking require significant system reform in the field energy supply. As clean, low-carbon, stable continuous non carbon-based energy, geothermal can provide an important guarantee for achieving this goal. Different from direct way obtaining ground indirectly obtains heat shallow soil surface water. The vigorous development geoenergy under China’s neutrality goal plays role conservation emission reduction....

The green energy structure transition is an effective means to achieve carbon emission reduction and sustainable development in the long term. Whether emissions trading scheme, a typical market-oriented environmental regulation, can realize has attracted widespread attention. Rather than focusing on macro-effects of this paper explores its effect structural power sector, which major emitter by consuming non-renewable energy. With multi-period difference-in-differences method, study manually...

Financial time series analysis is crucial to a successful assets allocation. Applying matrix factorization technique can generate genuine grouping knowledge for the allocation of according their association with number underlying bas

To investigate the relationship between trading volume and prices volatility in second-hand ship total markets, bulk ship, tanker containership market, regression, VAR EGARCH model are constructed to analyze contemporaneous relationships, lead-lag relationships returns volatility-volume dynamics. The positive identified four second-ship all markets have unilateral causality price return except has leverage effects, past impact on markets.

This study examines the impact of currency devaluation on Pakistan's economic growth. Currency is controversial topics for both developing and developed economies to believe hope improve In this study, model used find cointegration between variables. The annual time series data over1990 2018, together with ARDL Johansson test whether there a long-run relationship growth devaluation. Both proposed models indicate that Pakistan’s has no significant changes in However, Interest rates gross...

VaR (Value at Risk) in the gold market was measured and predicted by combining stochastic volatility (SV) model with extreme value theory. Firstly, for fat tail persistence characteristics return series, price modeled SV-T-MN (SV-T Mixture-of-Normal distribution) based on state space. Secondly, future sample prediction realized using approximate filtering algorithm. Finally, theory generalized Pareto distribution applied to measure dynamic risk (VaR) of return. Through proposed gold,...

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Focusing on the rapid rise of China’s housing prices in recent years, this paper, we construct a model using cheap talk game that centers how information receivers market make inferences about true state based cost-free signals they receive and then decisions these inferences, which turn affect equilibrium. By constructing house prices, examine correlation between expectations, economic fundamentals, individual purchase decisions. Then, conduct an empirical analysis dynamic GMM method panel...

Rebalancing times are assumed to be given in most models for portfolio management, which is neither necessary nor true. We proposed a control-theoretical model [1] does not fix the rebalancing beforehand. In order examine advantages of this model, present paper management experiments with real data from New York stock market.

Financial data usually have the features of complexity and interdependence structure, such as asymmetric, tail, time-varying dependence. This study constructs a new multivariate skewed fat-tailed copula, namely, noncentral contaminated normal (NCCN) to analyze dependent structure financial market data. The dynamic conditional correlation (DCC) model is also incorporated into constructing NCCN copula model. comprehensively examines effects DCC-NCCN related models on fitting dependence...