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Lili Ding
School of Economics, Ocean University of China, Qingdao, 266100, China

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Journal article
Published: 02 December 2020 in Journal of Cleaner Production
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This paper explores the effective incentive mechanisms for personal carbon accounts (PCAs) to reduce carbon emissions from household. First, a novel Public-Private Partnership for personal carbon accounts (PPP–PCAs) is constructed to discover the incentive effect of the integration of government mechanisms and market mechanisms on emissions reduction from household energy consumption. Second, the evolutionary game model among the government, financial institution, and consumer is presented to analyze the evolutionary stability strategies (ESS) of participants and verify the effectiveness of PPP-PCAs. Finally, taking Ant Forest as an example, we perform sensitivity analyses of key parameters and describe the optimal path to promote the development of PCAs. The numerical results show that government mechanisms, such as subsidies and carbon taxes have little effect on consumers’ low-carbon decisions, without any other participants. When the private sectors, e.g., financial institutions, enterprises and carbon platforms are introduced into model, the market mechanisms can effectively promote the healthy and rapid development of PCAs. It finds that the government’s low-carbon subsidies for financial institutions are the most effective, followed by the low-carbon benefits provided by the private sectors to consumers. The above conclusions can provide a theoretical basis and reference for the incentive mechanisms to promote the development of PCAs.

ACS Style

Xin Zhao; Yu Bai; Lili Ding. Incentives for personal carbon account: An evolutionary game analysis on public-private-partnership reconstruction. Journal of Cleaner Production 2020, 282, 125358 .

AMA Style

Xin Zhao, Yu Bai, Lili Ding. Incentives for personal carbon account: An evolutionary game analysis on public-private-partnership reconstruction. Journal of Cleaner Production. 2020; 282 ():125358.

Chicago/Turabian Style

Xin Zhao; Yu Bai; Lili Ding. 2020. "Incentives for personal carbon account: An evolutionary game analysis on public-private-partnership reconstruction." Journal of Cleaner Production 282, no. : 125358.

Journal article
Published: 19 September 2020 in Journal of Cleaner Production
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In the industrial symbiosis system, financial support has been proven to be key factors to motivate cooperation. However, current studies don’t explain the incentives to implement the low carbon industrial symbiosis. This paper considers a low carbon industrial symbiosis chain with one upstream manufacturer and one downstream manufacturer with the financial constraint. Under the environmental regulations, e.g., carbon tax and cap-and-trade, we investigate the financing preferences of the low carbon industrial symbiosis systems from a competing bank or trade credit by an evolutionary game model. It finds that external finance serves as a necessary financing way for manufacturers regardless of which manufacturer takes the responsibility of reducing carbon emission. Further, an appropriate combination of internal and external finance has a positive impact on the operation of a low-carbon industrial symbiosis system. The financing platform for manufacturers and cap-and-trade strategy promotes the implementation of carbon emission reduction responsibilities. Besides, we present a set of numerical analyses to investigate the sensitivity of inside and outside factors of the industrial symbiosis system, and we analyze the impacts of key parameters on the performance of low carbon industrial symbiosis system.

ACS Style

Xin Zhao; Yuemei Xue; Lili Ding. Implementation of low carbon industrial symbiosis systems under financial constraint and environmental regulations: An evolutionary game approach. Journal of Cleaner Production 2020, 277, 124289 .

AMA Style

Xin Zhao, Yuemei Xue, Lili Ding. Implementation of low carbon industrial symbiosis systems under financial constraint and environmental regulations: An evolutionary game approach. Journal of Cleaner Production. 2020; 277 ():124289.

Chicago/Turabian Style

Xin Zhao; Yuemei Xue; Lili Ding. 2020. "Implementation of low carbon industrial symbiosis systems under financial constraint and environmental regulations: An evolutionary game approach." Journal of Cleaner Production 277, no. : 124289.

Journal article
Published: 26 May 2020 in Ocean & Coastal Management
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This paper aims to assess the green efficiency of marine economy in 11 coastal regions over 2002–2016. An improved cross efficiency model incorporating undesirable outputs is proposed, which can simultaneously consider self-appraisal and peer-appraisal. The model extends the traditional cross efficiency method by introducing undesirable outputs in a governance framework. The results show that there is still a gap to cover before becoming a high-quality development. While the efficiency exhibits a fluctuating upward trend in most regions, which highlights that the environmental governance has achieved a certain success. The geographic spatial distribution of 11 coastal regions of China indicates center diffusion mode drive the development of marine economy. The kernel density estimation analysis further demonstrates that the trends of green cross efficiencies of marine economy take on the forms of “unimodal, multimodal, unimodal” over three periods, which indicate the effects of China's environmental policies.

ACS Style

Lili Ding; Ying Yang; Lei Wang; Adrian Cantemir Calin. Cross Efficiency Assessment of China's marine economy under environmental governance. Ocean & Coastal Management 2020, 193, 105245 .

AMA Style

Lili Ding, Ying Yang, Lei Wang, Adrian Cantemir Calin. Cross Efficiency Assessment of China's marine economy under environmental governance. Ocean & Coastal Management. 2020; 193 ():105245.

Chicago/Turabian Style

Lili Ding; Ying Yang; Lei Wang; Adrian Cantemir Calin. 2020. "Cross Efficiency Assessment of China's marine economy under environmental governance." Ocean & Coastal Management 193, no. : 105245.

Journal article
Published: 22 March 2020 in Sustainability
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This paper theoretically explores the impact of the incentive preferences of executives (i.e., short-term incentives and long-term incentives) on corporate social responsibility (CSR) decisions (i.e., institutional CSR and technical CSR). Further, the paper presents the mechanism through which executives influence CSR activities by the pressures from financial analysts and institutional investors supervision. Using a large sample of China-listed firms over 2007–2017, we achieve some helpful empirical results. The executives with short-term incentives tend to implement technical CSR strategy, while those with long-term incentives tend to implement institutional CSR strategy. Executives with short-term incentives, compared with those with long-term incentives, show stronger inter-temporal tradeoffs behaviors in the earnings pressure context. Furthermore, dedicated institutional investors can effectively attenuate the hypocritical behaviors of executives, and the effectiveness of governance shows a positive relationship with investors’ horizon. Our findings enrich the understanding on the relationship between the executives and CSR decisions in the earnings pressure context and further helps to perfect the institutional design in China’s listed companies.

ACS Style

Lili Ding; Zhongchao Zhao; Lei Wang. Executive Incentives Matter for Corporate Social Responsibility under Earnings Pressure and Institutional Investors Supervision. Sustainability 2020, 12, 2492 .

AMA Style

Lili Ding, Zhongchao Zhao, Lei Wang. Executive Incentives Matter for Corporate Social Responsibility under Earnings Pressure and Institutional Investors Supervision. Sustainability. 2020; 12 (6):2492.

Chicago/Turabian Style

Lili Ding; Zhongchao Zhao; Lei Wang. 2020. "Executive Incentives Matter for Corporate Social Responsibility under Earnings Pressure and Institutional Investors Supervision." Sustainability 12, no. 6: 2492.

Journal article
Published: 22 February 2020 in Sustainability
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In service to sustainable development, consumers have begun to prefer green products for their special environmental characteristics, and many enterprises are introducing new products to improve their competitiveness, but this tactic may not work if customers are strategic, as they might choose to defer purchasing decisions while prices are high and wait for lower prices in the future. Considering the differences in purchase behavior, we divided customers into two groups—strategic customers and myopic customers. Furthermore, we distinguished three types of strategic customers according to their different preferences to analyze the optimal pricing and greenness strategies in sustainable supply chain in strategic customer scenarios. Our results led to the following conclusions. (1) Strategic customers’ individual preferences can affect optimum equilibrium and that a higher purchase price threshold can stimulate the manufacturer to improve greenness and set a higher price, while a higher greenness purchase threshold and purchase value threshold will force manufacturer to set a lower price. (2) We observed that strategic customers can increase demand and vender profit. As the number of strategic customers increases, selling price and greenness will experience downward trends in a price threshold scenario but upward trends in greenness threshold and value threshold scenarios. (3) A firm can take measures to mitigate the effects of strategic customers by adjusting price and greenness dynamically according to price and greenness sensitivity, which can play a leading role in actively influencing strategic customer behavior.

ACS Style

Xinmin Liu; Kangkang Lin; Lei Wang; Lili Ding. Pricing Decisions for a Sustainable Supply Chain in the Presence of Potential Strategic Customers. Sustainability 2020, 12, 1655 .

AMA Style

Xinmin Liu, Kangkang Lin, Lei Wang, Lili Ding. Pricing Decisions for a Sustainable Supply Chain in the Presence of Potential Strategic Customers. Sustainability. 2020; 12 (4):1655.

Chicago/Turabian Style

Xinmin Liu; Kangkang Lin; Lei Wang; Lili Ding. 2020. "Pricing Decisions for a Sustainable Supply Chain in the Presence of Potential Strategic Customers." Sustainability 12, no. 4: 1655.

Journal article
Published: 09 September 2019 in Journal of Cleaner Production
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The cross efficiency (CE) model has been accepted as an alternative approach for evaluating carbon emission efficiency in data envelopment analysis (DEA). However, the current studies can't examine the time effect of economic and energy inputs on regional productivity. This paper proposes a novel method combing CE model with Malmquist productivity index (CE-MPI) to discover a dynamic change of carbon emission efficiencies of China's 30 provinces. The results indicate that Eastern Zone is the most advanced in carbon emission efficiency as well as productivity capacity but the efficiency gap between Inter-mediate and Western Zone is less than 5.7 percent point. The technology progress drives the improvement of the CE-MPI. But the efficiency change pulls down the level of productivity for most zones. Based on the efficiency change and the technical change, China's 30 provinces are divided into four classification and given different recommendations for improving carbon emission efficiency.

ACS Style

Lili Ding; Ying Yang; Wei Wang; Adrian Cantemir Calin. Regional carbon emission efficiency and its dynamic evolution in China: A novel cross efficiency-malmquist productivity index. Journal of Cleaner Production 2019, 241, 118260 .

AMA Style

Lili Ding, Ying Yang, Wei Wang, Adrian Cantemir Calin. Regional carbon emission efficiency and its dynamic evolution in China: A novel cross efficiency-malmquist productivity index. Journal of Cleaner Production. 2019; 241 ():118260.

Chicago/Turabian Style

Lili Ding; Ying Yang; Wei Wang; Adrian Cantemir Calin. 2019. "Regional carbon emission efficiency and its dynamic evolution in China: A novel cross efficiency-malmquist productivity index." Journal of Cleaner Production 241, no. : 118260.

Journal article
Published: 21 May 2019 in International Journal of Disaster Risk Reduction
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The accurate prediction of the direct economic losses of marine disasters (DELMD) is critical for allowing policy makers to take proper measures in managing a marine disaster. The prediction of the annual DELMD is hindered by its characteristically small samples, nonlinearity and indetermination. Developing ways to create an efficient system to forecast DELMD is challenging work. For this reason, this paper introduces a hybrid forecasting system that uses an adaptive boosting (Adaboost) algorithm and a back propagation neural network (BPNN) based on interpolation to predict DELMD. In this paper, four interpolations are employed to expand the original small sample with virtual points, then the Adaboost algorithm is used to optimize the results obtained by the weak predictor, BPNN, and produce the final forecasting results. Furthermore, to verify the prediction performance of the developed forecasting system, traditional models are used as comparisons to the new forecasting system. The experimental evidence shows that (a) the cubic spline interpolation is the most effective way to solve the small sample problem for forecasting DELMD, (b) the proposed hybrid forecasting system not only outperforms other traditional models but also is robust for other samples.

ACS Style

Xin Zhao; Hui Li; Lili Ding; Mengxi Liu. Research and application of a hybrid system based on interpolation for forecasting direct economic losses of marine disasters. International Journal of Disaster Risk Reduction 2019, 37, 101121 .

AMA Style

Xin Zhao, Hui Li, Lili Ding, Mengxi Liu. Research and application of a hybrid system based on interpolation for forecasting direct economic losses of marine disasters. International Journal of Disaster Risk Reduction. 2019; 37 ():101121.

Chicago/Turabian Style

Xin Zhao; Hui Li; Lili Ding; Mengxi Liu. 2019. "Research and application of a hybrid system based on interpolation for forecasting direct economic losses of marine disasters." International Journal of Disaster Risk Reduction 37, no. : 101121.

Journal article
Published: 17 February 2018 in Applied Energy
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This paper presents a real-time forecasting procedure that utilizes multiple factors with different sampling frequencies to predict the weekly carbon price. Novel combination-MIDAS models with five weight-type schemes are proposed for evaluating the forecast accuracy. The evidence shows that combination-MIDAS models provide forecasting performance gains over traditional models, which supports the use of mixed-frequency data that consist of economic and energy indicators to forecast the weekly carbon price. It is also shown that, Coal is the best predictor for carbon price forecasting and that forecasts that are based on Crude have similar trends to actual carbon prices but are higher than the actual prices.

ACS Style

Xin Zhao; Meng Han; Lili Ding; Wanglin Kang. Usefulness of economic and energy data at different frequencies for carbon price forecasting in the EU ETS. Applied Energy 2018, 216, 132 -141.

AMA Style

Xin Zhao, Meng Han, Lili Ding, Wanglin Kang. Usefulness of economic and energy data at different frequencies for carbon price forecasting in the EU ETS. Applied Energy. 2018; 216 ():132-141.

Chicago/Turabian Style

Xin Zhao; Meng Han; Lili Ding; Wanglin Kang. 2018. "Usefulness of economic and energy data at different frequencies for carbon price forecasting in the EU ETS." Applied Energy 216, no. : 132-141.