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Research on the Impact of Digital Transformation on Enterprise Innovation - Evidence Based on Patent Quality
In the era of digital economy, digital transformation is becoming a key force driving enterprise innovation and upgrading. This paper selects China's A-share listed companies from 2010 to 2024 as research samples, and uses the breadth of patent knowledge as a proxy variable for innovation quality to systematically examine the actual impact of digital transformation on enterprise innovation, and further explore its transmission mechanism. The data tells us that digital transformation has really broadened the breadth of patent knowledge of enterprises and effectively improved the quality of innovation. In this process, the compensation incentive for management is a non-negligible intermediate link - digitization encourages enterprises to tilt the incentive focus to long-term innovation, managers are more willing to invest in interdisciplinary technology exploration, and the knowledge map covered by patents is expanded. A noteworthy finding is that the impact of digital transformation on patent quality is not balanced. In manufacturing, large companies and more competitive industries, this positive effect is much more obvious; in non-high-tech industries, the effect of digital empowerment is even more prominent than that of high-tech industries. This is probably because the technical field of high-tech enterprises is broad enough, and the incremental space that digital technology can do is not so large. In general, the value of this study is to shift the focus of observation from ''how much innovation has been done by enterprises ''to ''what is the quality of innovation'', and try to clarify a conduction path-first use technology to empower, then rely on governance optimization, and finally fall on innovation breakthroughs. These conclusions suggest that enterprises cannot simply copy the experience of others in digital transformation, and tailored strategic design is more desirable, and the supporting reform of internal incentive system cannot be ignored. For regulatory authorities, the formulation of digital economic policies should also be focused on, tilted to areas where the digital dividend is more pronounced, such as manufacturing and competitive industries. In general, this study focuses on the quality of innovation, which adds new evidence to the question of whether digitization can truly transform into the core competitiveness of enterprises.
Copyright (c) 2026 Yanping Yu http://creativecommons.org/licenses/by/4.0
Environmental Sustainability through Environmental Impact Assessment Sustainable Projects in the Asia Pacific Region
The research paper “Environmental Sustainability through Environmental Impact Assessment Sustainable Projects in the Asia Pacific Region” is basically a study of environmental sustainability through environmental impact assessments of environmentally sustainable projects in the Asia Pacific region. The paper dwells into various aspects covering issues such as environmental sustainability, adoption of environmental impact assessment sustainable projects in the Asia Pacific region, role of Asian Development Bank in promoting environmental sustainability in the Asia Pacific region through adoption, promotion and financing of environmentally sustainable projects and projects implemented by the United Nations through its umbrella organization UNEP (United Nations Environment Programme) and EIA which is imperative for achieving environmental sustainability has been instrumental in integration of environmental considerations into development planning and decision making processes in the region. A detailed literature review has been undertaken by consulting various research papers, publications of authors of international repute, international organizations such as the United Nations, Asian Development Bank, UNEP etc., The study has tried to establish linkages between the EIA and the UN SDGs, identifying issues and their solutions in country related projects in the Asia Pacific region such as the energy transition mechanism in the Philippines, fostering low carbon connectivity and inclusive development, investing in climate-resilient and efficient utilities in Azerbaijan, clean energy potential, climate policy and sustainable finance in Indonesia and Mongolia, integrating specific components of climate resilience and environmental sustainability including investment in hydropower and grid infrastructure projects in Nepal; etc., The study highlights the important climate related challenges, risks and EIA challenges encountered in the Asia Pacific region. Last, but not the least, the policy conclusions have been drawn highlighting the fact that a robust EIA study would definitely entail in achieving environmentally sustainable projects in the Asia Pacific region which in turn would achieve environmental sustainability in the long-run thereby leading to achieving the UN SDGs by the turn of 2030.
Copyright (c) 2026 Dr. Unmana Sarangi http://creativecommons.org/licenses/by/4.0
A Study on Volatility Forecasting for the E Fund ChiNext ETF Using a CNN-LSTM Model
Since its launch in 2009, the ChiNext Board has become a vital financing platform for high-growth small and medium-sized enterprises. The E Fund ChiNext ETF (159915), with its excellent liquidity, extremely low trading slippage, and complete data series, has become a core tool for investors participating in the ChiNext market. Accurate prediction of price volatility in this ETF carries considerable weight for short-term risk management and trading strategy refinement. Prior work has mostly relied on conventional time-series models or single deep learning structures to capture volatility, leaving the potential of hybrid deep learning approaches for such assets underexplored. To fill this gap, the present study develops a CNN-LSTM hybrid model: a convolutional neural network first extracts local temporal patterns, after which a long short-term memory network handles longer-range dependencies. Daily closing prices of the E Fund ChiNext ETF serve as the lone input, with the 5 day rolling annualized realized volatility designated as the target. Comparisons are drawn against the LSTM Attention model, the ARIMA(1,1,1) model, and the GARCH(1,1) model. On three core accuracy metrics—root mean square error, mean absolute error, and mean absolute percentage error—the CNN LSTM model outperforms all benchmarks by a clear margin. It also exhibits noticeably higher directional prediction accuracy, confirming that the hybrid architecture effectively grasps the intricate dynamics of financial time series. The central contribution of this work is the demonstration that a CNN LSTM model relying solely on price sequences is both applicable and superior for forecasting ChiNext ETF volatility. This offers market participants a short term risk monitoring tool that demands minimal data and is straightforward to implement, while simultaneously providing empirical guidance for model selection in analogous financial time series forecasting tasks.
Copyright (c) 2026 Tong Wang http://creativecommons.org/licenses/by/4.0
A Study on the Impact of New Quality Productive Forces on Silver-Haired Consumption
Silver-haired consumption has become an important growth driver for expanding and upgrading China's consumer market. It plays a key role in unlocking domestic demand potential and optimizing consumption structure. This paper employs five-wave panel data from the China Health and Retirement Longitudinal Study (CHARLS), covering the survey years 2011, 2013, 2015, 2018 and 2020, to systematically investigate the effect of new-quality productivity on silver-haired consumption, alongside its underlying mechanisms. Empirical findings indicate that new-quality productive forces exert a significantly positive influence on silver-haired consumption. This conclusion still holds after implementing multiple robustness checks and mitigating potential endogeneity issues. Mechanism estimations suggest that the favorable effect is transmitted via three primary pathways: broadening digital application scenarios, advancing inclusive finance, and elevating the development quality of the silver economy. Furthermore, heterogeneity tests demonstrate that such promotional influence is stronger in central China and features inclusivity, functioning effectively in areas with disparate economic development levels. This research offers empirical support and policy implications for uncovering the inherent correlation between new-quality productive forces and silver-haired consumption, stimulating the silver consumer market, and facilitating the development of elderly-oriented finance.
Copyright (c) 2026 Huaichao Guan http://creativecommons.org/licenses/by/4.0