Oil is a strategic resource indispensable for the survival and development of a state, and plays an inestimable role in safeguarding international economic and social development. This paper mainly uses the computer technology in information technology, based on the construction of TVP-VAR model of the specific computer code, through the analysis of international crude oil price index and China's price index, input the relevant computer code instructions to get different lag, different time point impulse response diagram. The dynamic spillover effect of international crude oil price on Chinese stock market is analyzed. The empirical results show that: (1) there is a dynamic correlation between international crude oil prices and China’s stock market by sector, and there is a lag in the impact of international crude oil price changes on industry stock yield. (2) The instability of international crude oil prices is a negative factor for stock yield, and has a negative impact on industry stock yield. (3) Different industries differ in their sensitivity to dynamic spillovers from international oil price changes and in the direction of their stock yield movements.

In order to solve the problem of reverse recycling of waste tires in Heilongjiang Province, this paper chooses the third party as the core to construct a reverse logistics network system of waste tires based on the current situation of reverse logistics of waste tires. The reverse recycling area of waste tires in Heilongjiang Province is divided into five areas (the first area is Harbin; the second area contains Qiqihar, Daqing, and Suihua; the third area contains Yichun, Hegang, Jiamusi, and Shuangyashan; Qitaihe, Jixi, and Mudanjiang form the fourth area; and the fifth area contains Daxinganling and Heihe). The analytic hierarchy process (AHP) is employed to analyze the influence factors of site selection of reverse logistics network and obtain the total weight of each evaluation factor. The weights of economic conditions, the number of waste tires, traffic conditions, development planning and policy, and geographical conditions are obtained as 0.3547, 0.2256, 0.1690, 0.1644, and 0.0863, respectively. The economic conditions and the number of waste tires with high weights are vital factors for selecting a reverse logistics network for waste tires. The linear mixed-integer programming method (LINGO) is utilized for site selection. Harbin, Qiqihar, Daqing, Mudanjiang, Jiamusi, and Suihua are chosen for the recovery centers site selection, while Daqing, Mudanjiang, and Suihua are chosen as the site selection of remanufacturing enterprise.

Geopolitical conflict and the energy transition can alter the dependence between conventional energy, new energy, ESG assets, and gold. This study examines ten Chinese-market exposures using quantile time–frequency connectedness and network analysis. Mean rolling total connectedness is 60.406% at the median, 86.868% in the lower tail, and 86.664% in the upper tail. Wind power and photovoltaics have the largest median outgoing strengths, but directional positions differ across sectors and frequency bands. Short-frequency contributions dominate the baseline estimates; the long-frequency share is larger in the lower tail. Unknown-break tests do not reject constant-mean stability at 5%, and fixed-date confidence intervals include zero; neither result identifies a permanent causal effect of the Russia–Ukraine conflict. A separate portfolio evaluation over 1500 dates shows that minimum-variance allocations reduce realized variance, although weights and performance depend strongly on the gold proxy. Coal/gold-only and positive-NET allocations have different risk–return tradeoffs, and a net-receiver position alone does not establish hedge effectiveness. The findings support monitoring dependence across return states and testing explicit allocation rules, subject to common exposures, preprocessing, and instrument verification.

The increase in uncertainty risks and complexity of the international environment have affected the normal order of the Asian economic environment and have a impact on the economic development of Asian countries. Under the general trend of information technology development, the role of information technology in visualizing economic development has also become more prominent. Stock market quotations are an important reference to reflect the real-time economic environment. The DY spillover index given in R language is used to analyze the geopolitical risks, economic policy uncertainties and spillover effects on the stock markets of major Asian economies through information integration of data, text and graphs, which is conducive to the promotion of harmonious political and economic development among Asian countries. Results showed that first, SSE Composite Index, geopolitical risk and economic policy uncertainty are the receivers of risk spillover, while Nikkei 255, Korea Composite Index and Singapore DBS Group Holdings are the transmitters of risk spillover. Second, the spillover effect between the variables is asymmetric, with significant small peaks in 2015 and 2020. Third, the total spillover effect is greater than zero, and the risk spillover effect increases significantly at the “stock market crash” in 2015 and the COVID-19 epidemic in 2020.

Geopolitical conflicts and the energy transition complicate risk linkages among conventional energy, new energy, ESG assets and gold. Using quantile time–frequency connectedness and complex network analysis, this study examines an ESG index, coal and natural gas equity indices, five new energy subsector indices, an aggregate new energy index and a gold ETF across market states and horizons. Under normal conditions, wind power, photovoltaics, natural gas and new energy vehicles are net transmitters, while the remaining markets are net receivers. Total spillovers rise sharply under extreme conditions, and short-term spillovers dominate across market states. Static estimates show stable transmission roles for photovoltaics, wind power, natural gas and gold across quantiles and frequency bands, alongside conditional switching in other markets. Dynamic estimates reveal additional variation over time. The Russia–Ukraine conflict is associated with a sustained increase in long-term connectedness, whereas COVID-19 primarily coincides with short-term volatility pulses. Network analysis identifies coal as a central node and photovoltaics as a major transmission hub within new energy. These findings inform market-state- and horizon-specific risk monitoring, asset allocation and crisis responses.