期刊：
INTERNATIONAL JOURNAL OF CLIMATE CHANGE STRATEGIES AND MANAGEMENT,2024年16(1):1-18 ISSN：1756-8692
通讯作者：
Tong, QM
作者机构：
[Liu, Xuan; Tong, Qingmeng; Ran, Shan; Tong, QM] Cent China Normal Univ, Sch Econ & Business Adm, Wuhan, Peoples R China.;[Zhang, Lu; Zhang, Junbiao] Huazhong Agr Univ, Coll Econ & Management, Wuhan, Peoples R China.
通讯机构：
[Tong, QM ] C;Cent China Normal Univ, Sch Econ & Business Adm, Wuhan, Peoples R China.
关键词：
Agricultural internet information (AII);Climate resilience;China;Rice production;Recursive binary probit model
摘要：
Purpose
The main purpose of this study is to examine the impact of agricultural internet information (AII) acquisition on climate-resilient variety adoption among rice farmers in the Jianghan Plain region of China. Additionally, it explores the influencing channels involved in this process.
Design/methodology/approach
Based on survey data for 877 rice farmers from 10 counties in the Jianghan Plain, China, this paper used an econometric approach to estimate the impact of AII acquisition on farmers’ adoption of climate-resilient varieties. A recursive bivariate Probit model was used to address endogeneity issues and obtain accurate estimates. Furthermore, three main influencing mechanisms were proposed and tested, which are broadening information channels, enhancing social interactions and improving agricultural skills.
Findings
The results show that acquiring AII can overall enhance the likelihood of farmers adopting climate-resilient varieties by 36.8%. The three influencing channels are empirically confirmed. Besides, educational attainment, income and peer effects can facilitate farmers’ acquisition of AII, while climate conditions and age significantly influence the adoption of climate-resilient varieties.
Practical implications
Practical recommendations are put forward to help farmers build climate resilience, including investing in rural internet infrastructures, enhancing farmers’ digital literacy and promoting the dissemination of climate-resilient information through diverse internet platforms.
Originality/value
Strengthening climate resilience is essential for sustaining the livelihoods of farmers and ensuring national food security; however, the role of internet information has received limited attention. To the best of the authors’ knowledge, this study is the first to examine the casual relationship between internet information and climate resilience, which fills the research gap.
摘要：
Accurately predicting hydrological runoff is crucial for water resource allocation and power station scheduling. However, there is no perfect model that can accurately predict future runoff. In this paper, a daily runoff prediction method with a seasonal decomposition-based-deep gated-recurrent-unit (GRU) method (SD-GRU) is proposed. The raw data is preprocessed and then decomposed into trend, seasonal, and residual components using the seasonal decomposition algorithm. The deep GRU model is then used to predict each subcomponent, which is then integrated into the final prediction results. In particular, the hyperparameter optimization algorithm of tree-structured parzen estimators (TPE) is used to optimize the model. Moreover, this paper introduces the single machine learning model (including multiple linear regression (MLR), back propagation (BP), long short-term memory neural network (LSTM) and gate recurrent unit (GRU)) and a combination model (including seasonal decomposition–back propagation (SD-BP), seasonal decomposition–multiple linear regression (SD-MLR), along with seasonal decomposition–long-and-short-term-memory neural network (SD-LSTM), which are used as comparison models to verify the excellent prediction performance of the proposed model. Finally, a case study of the Qingjiang Shuibuya test set, which considers the period 1 January 2019 to 31 December 2019, is conducted. Case studies of the Qingjiang River show the proposed model outperformed the other models in prediction performance. The model achieved a mean absolute error (MAE) index of 38.5, a Nash-Sutcliffe efficiency (NSE) index of 0.93, and a coefficient of determination (R2) index of 0.7. In addition, compared to the comparison model, the NSE index of the proposed model increased by 19.2%, 19.2%, 16.3%, 16.3%, 2.2%, 2.2%, and 1.1%, when compared to BP, MLR, LSTM, GRU, SD-BP, SD-MLR, SD-LSTM, and SD-GRU, respectively. This research can provide an essential reference for the study of daily runoff prediction models.
期刊：
International Journal of Machine Learning and Cybernetics,2024年15(3):1055-1073 ISSN：1868-8071
通讯作者：
Zhou, LG
作者机构：
[Zhou, Yuanyuan; Zheng, Chengli] Cent China Normal Univ, Sch Econ & Business Adm, Financial Engn Res Ctr, Wuhan 430079, Peoples R China.;[Wu, Peng] Anhui Univ, Sch Business, Hefei 230601, Peoples R China.;[Zhou, Ligang] Anhui Univ, Sch Math Sci, Hefei 230601, Peoples R China.
通讯机构：
[Zhou, LG ] A;Anhui Univ, Sch Math Sci, Hefei 230601, Peoples R China.
关键词：
Additive trapezoidal fuzzy preference relation;Priority vector;Compatibility;COWA operator;Optimization model
摘要：
Considering the conflicting opinions and different risk attitudes among decision-makers (DMs) in group decision making (GDM), this paper develops a novel compatibility model with additive trapezoidal fuzzy environment based on continuous ordered weighted averaging (COWA) operator to handle the conflicts. First, some concepts of COWA operator-based compatibility index and characteristic preference relation for additive trapezoidal fuzzy preference relation (ATFPR) are discussed. Then a compatibility reaching algorithm is designed to assist each ATFPR in achieving acceptable compatibility. Moreover, the expert weight optimization model based on the criterion of minimum compatibility of preference relation in GDM is established. Furthermore, a GDM process based on compatibility measures with ATFPRs is introduced, and an application of the proposed approach is put forward. The novelties of our approach are that: (1) COWA operator can deal with the compatibility of all arguments by using controlled parameters that consider the risk attitudes of DMs rather than the compatibility of the simply two points in intervals; (2) compatibility improving algorithm makes sure that the original opinions are retained as much as possible because only one pair of preference relation elements are revised in each round; (3) optimal weights model ensures that weights of DMs in group aggregation are determined availably.
作者机构：
[Liu, Botao; Tu, Zhengge; Liu, BT] Cent China Normal Univ, Sch Econ & Business Adm, Wuhan 430079, Peoples R China.;[Liu, Botao; Tu, Zhengge; Liu, BT] Cent China Normal Univ, Res Ctr Low Carbon Econ & Environm Policies, Wuhan 430079, Peoples R China.;[Kong, Jiayang] Qinghai Univ Sci & Technol, Coll Comp & Informat Sci, Xining 810016, Peoples R China.;[Kong, Jiayang] Qinghai Univ, Dept Comp Technol & Applicat, Xining 810016, Peoples R China.;[Sun, Liping] Shandong Normal Univ, Audit Off, Jinan 250014, Peoples R China.
通讯机构：
[Liu, BT ] C;Cent China Normal Univ, Sch Econ & Business Adm, Wuhan 430079, Peoples R China.;Cent China Normal Univ, Res Ctr Low Carbon Econ & Environm Policies, Wuhan 430079, Peoples R China.;Cent China Normal Univ, Sch Math & Stat, Wuhan 430079, Peoples R China.
关键词：
digital economy;entropy method;internet development;regional development imbalance;rural-urban income gap
摘要：
Currently, the Chinese government is considering two major strategies, namely, developing the digital economy and achieving common prosperity, to address regional development imbalances. Using panel data from 276 Chinese cities spanning from 2011 to 2019, the article first employs the entropy method to measure China’s digital economy development, digital fusion application, and Internet accessibility. Subsequently, the paper evaluates the influence of the digital economy on regional development imbalances, focusing on the rural-urban income gap. The results show a significant reduction in the rural-urban income gap due to digital economy development. Notably, digital fusion applications have a greater impact on reducing the rural-urban income gap than Internet accessibility. In addition, a heterogeneity analysis reveals that the influence of the digital economy on the rural-urban income gap is only reflected in the eastern and western regions, with a more substantial effect observed in the western region. This study, to some extent, helps Chinese government officials distinguish the diverse impacts of different dimensions and regional variations in digital economies on the rural-urban income gap. Such insights can guide the government in strategically advancing digital economy development to accelerate the mitigation of regional disparities and achieve sustainable economic development.
期刊：
Journal of Cleaner Production,2024年442:141059 ISSN：0959-6526
通讯作者：
Zongyu Zhou
作者机构：
[Tianqi Gan; Zongyu Zhou; Shengbo Li] School of Economics, South-Central MinZu University, Wuhan, 430074, China;[Zhengge Tu] School of Economics and Business Administration, Central China Normal University, Wuhan, 430079, China
通讯机构：
[Zongyu Zhou] S;School of Economics, South-Central MinZu University, Wuhan, 430074, China
摘要：
This study introduces three production technology shocks (Energy manufactures, Brown enterprises, and Green enterprises) by constructing different models, namely, the environment sector (baseline) model, the carbon emissions trading scheme (ETS) model, and the carbon emissions rights trading mechanism. The fluctuation trend of China's macroeconomic and environmental quality before and after the establishment of carbon market is compared and analyzed. Additionally, the study examines the welfare of the implementation of carbon market policies. The carbon trading market policy can promote the synergistic efficiency of China's pollution reduction and carbon reduction using energy and green production technologies. From the perspective of social welfare, the optimal range of the initial carbon quota ratio issued by the government to enterprises is [0.7,0.8]. The findings of this study provide theoretical support and contribute toward understanding the impact mechanisms of carbon market and technological progress on synergizing the reduction of pollution and carbon emissions in China.
摘要：
As the relationship between climate change and agricultural production increasingly gains attention, the FAO recommends the adoption of climate-smart agriculture practices (CSAPs) to ensure the stable development of agriculture amidst changing climatic conditions. However, the adoption rate of CSAPs remains low and the effects of livelihood capitals have received little attention. Based on the survey data for 916 farmers in the Jianghan Plain of China, this paper adopts a multivariate Probit model to examine the impact of farmers’ livelihood capitals which are measured by an entropy-TOPSIS approach on their adoption of CSAPs. Our results demonstrate that different livelihood capitals exert various influence on the adoption of CSAPs. Specifically, human, financial, physical, and social capital have positive relationships with pesticide-oriented CSAPs such as integrated pest management (IPM). Natural capital has a positive relationship with seed- and water- oriented CSAPs like tolerant rice varieties (TRV). Natural capital positively relates to soil-oriented CPSPs including rice straw mulching (RSM) while physical capital has a negative effect. Natural and physical capitals have positive relationships with fertilizer-oriented CSAPs like deep placement of fertilizer (DPF). Social and natural capitals have positive relationships with soil-oriented CSAPs such as no-tillage direct seeding (NTDS) while financial capital has a negative effect. Climate factors are also important in the adoption of CSAPs such as TRV and RSM. Finally, policy recommendations are suggested to enhance household livelihood capitals to promote the adoption of each type of CSAP.
作者机构：
[Su, Kuangxi] Xinyang Normal Univ, Sch Math & Stat, Xinyang, Peoples R China.;[Yao, Yinhong] Capital Univ Econ & Business, Sch Management & Engn, Beijing, Peoples R China.;[Zheng, Chengli] Cent China Normal Univ, Sch Econ & Business Adm, Wuhan, Peoples R China.;[Xie, Wenzhao] Changjiang Secur Co Ltd, Wuhan, Peoples R China.
通讯机构：
[Chengli Zheng] S;School of Economics and Business Administration, Central China Normal University, Wuhan, China
关键词：
Portfolio selection;Empirical mode decomposition;Correlation coefficient test;Financial data denoising
期刊：
Journal of Forecasting,2024年43(3) ISSN：0277-6693
通讯作者：
Yu, X
作者机构：
[Yu, Xing] Cent China Normal Univ, Sch Econ & Business Adm, Wuhan, Peoples R China.;[Li, Yanyan] Renmin Univ China, Sch Finance, Beijing, Peoples R China.;[Wang, Xinxin] Shandong Univ, Sch Econ, Jinan, Peoples R China.;[Yu, Xing] Cent China Normal Univ, Sch Econ & Business Adm, Wuhan 430079, Peoples R China.
通讯机构：
[Yu, X ] C;Cent China Normal Univ, Sch Econ & Business Adm, Wuhan 430079, Peoples R China.
摘要：
Abstract This paper aims to study the phased influencing factors of renminbi (RMB) exchange rate (CNY against USD) and investigate the predictability of the factors selected by multimodel. We first take the time points when China's main exchange reform policies are launched as the demarcation points and divide the entire sample from July 2005 to December 2020 into three periods. Then, we select the potential predictors using several sources, including all factors (without any selection), the factors selected by each of the five commonly used machine learning methods, the significantly correlated factors selected by traditional regression analysis method, and multimodel‐driven factors. Finally, we predict the exchange rate based on the above selected factors and compare the prediction results. The research results show that the main influencing factors are different in different periods, and the influence of phase events cannot be ignored. Even if their influence on the exchange rate has decreased as a result of the “811” exchange rate reform, the money supply and foreign exchange reserves continue to be the primary drivers of RMB exchange rates during the whole period of the sample. Additionally, RMB exchange rate forward is a robust influencing factor in all periods. By comparing the forecast errors, we find that the prediction accuracy of the factors selected based on multimodel is higher than that of the factors selected based on a single method or the tradition method. The findings of this paper provide the following insights for exchange rate managers: In exchange rate risk management, it is important to pay attention to the impact of macroeconomic factors such as foreign exchange reserves and the impact of staged events, and market expectations of exchange rates are equally important. At the technical level, it is recommended to improve the forecasting accuracy by forecasting exchange rates based on common factors selected by multiple better machine learning methods simultaneously rather than those selected by a single method.
关键词：
Enterprise investment preferences;Environmental legislation;New environmental protection law
摘要：
China's New Environmental Protection Law (NEPL) represents a significant shift from the traditional administration to environmental legalization. Polluting enterprises face more pronounced contradictions between short-term environmental compliance and long-term development. Therefore, based on the CNRDS and CSMAR databases, this paper uses the 2015 NEPL as a quasi-natural experiment to investigate the micro-effects and mechanisms of environmental legislation on firms' investment preferences and environmental performance. The main findings of this paper are as follows. (1) The implementation of the NEPL effectively promotes the key pollutant-discharge enterprises (PDEs) to increase similar financial and environmental investment, and furthermore, the endogenous financing attributes of short-term financial investments can also provide financing for long-term environmental investment. This is due to the "reservoir" motive and the improvement in the executives' environmental awareness and green attention. (2) The NEPL exhibits heterogeneous policy effects. The key PDEs with political connections are more concerned about environmental management and investment. However, the NEPL's positive impact on environmental investment is weakened in regions with high levels of environmental justice. (3) A shift in the key PDEs' investment structure triggers a series of economic and environmental effects, such as increasing their risk-taking capacity, reducing environmental uncertainty, and significantly improving green patents. This paper provides policy implications for the process of environmental legalization in China and other developing countries.
期刊：
Advances in Accounting,2024年64:100721 ISSN：0882-6110
通讯作者：
Wen Zhang
作者机构：
[Bin Wu] School of Economics and Business Administration, Central China Normal University, 152 Luoyu Road, Hongshan District, Wuhan, Hubei Province 430079, China;School of Business, Renmin University of China, 59 Zhongguancun Street, Haidian District, Beijing 100872, China;College of Business, City University of Hong Kong, Kowloon Tong, Hong Kong Special Administrative Region;[Wen Zhang] School of Economics and Management, Beijing Information Science and Technology University, 55 Taihang Road, Changpin District, Beijing 102206, China;[Anqi Li] School of Business, Renmin University of China, 59 Zhongguancun Street, Haidian District, Beijing 100872, China<&wdkj&>College of Business, City University of Hong Kong, Kowloon Tong, Hong Kong Special Administrative Region
通讯机构：
[Wen Zhang] S;School of Economics and Management, Beijing Information Science and Technology University, 55 Taihang Road, Changpin District, Beijing 102206, China
摘要：
Using data on audit adjustments, this study examines the relation between Chinese listed companies' strategic change and their auditor's behavior. We find that levels of audit clients' strategic change are positively associated with the magnitude of audit adjustments and audit fees, suggesting that auditors exert greater effort, and propose larger audit adjustments, on these audits. We argue that during a client’ strategic change, auditors rely less on prior experience with the client, and increase their perceived risk of the audit. Further results show a positive correlation between clients' strategic change and the experience level of auditors assigned to the client by the audit firm. We also find evidence that levels of strategic change are negatively associated with pre-audit financial reporting quality, indicating that auditors' perceived risk for clients undergoing strategic change is consistent with clients' real financial reporting risk. Evidence on regulatory sanctions suggests that audit adjustments mitigate the positive association between clients' strategic change and the likelihood of those clients' being sanctioned. Taken together, these results suggest that auditors incorporate clients' strategic change into their assessment of client risk and implement appropriate responses to that risk, and that audit adjustments help companies avoid regulatory sanction.
摘要：
Technological innovation is crucial for creating sustainable corporate value and shaping competitive advantage in the market. ESG, as an indicator of corporate value practices, plays a significant role in enterprise technological innovation. However, there is little empirical evidence to support this claim. This study analyzes the relationship between ESG performance and technological innovation in Chinese A-share listed enterprises from 2011 to 2021. The statistical data shows that strong ESG performance has a significant positive impact on corporate technological innovation. ESG performance can promote corporate technological innovation through external mechanisms, such as enhancing corporate network location and increasing institutional shareholding. Additionally, internal mechanisms, such as reducing labor costs and easing financing constraints, can also promote corporate technological innovation. The impact of ESG performance on corporations exhibits heterogeneity, with ESG performance promoting innovation more strongly among labor-intensive firms, non-state-owned firms, highly competitive industries, and mature firms. Based on the study results, it is recommended that enterprises actively practice ESG development concepts, optimize their equity structure, strengthen information communication with stakeholders, and alleviate problems such as information asymmetry to improve their technological innovation. The government should focus on enterprise characteristics, improve ESG development policies, and promote enterprise innovation through ESG performance.
摘要：
This paper uses the accelerated depreciation policy for fixed assets implemented by Chinese tax authorities since 2014 to explore the relationship between tax incentives and earnings management. Results report the following: (1) The accelerated depreciation policy for fixed assets causes a significant increase in earnings management and the result persists after accounting for endogeneity problems; and (2) the accelerated depreciation policy for fixed assets has a more significant effect on firms with small pre-policy book-tax differences and low pre-policy investment growth. This paper supplements the research that tax policy affects earnings management behavior of firms.
