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  1. Article ; Online: Enhanced Agriculture Insurance with Climate Forecast

    Lanlan Li / Zhengqiao Liu / Jing-Yi Chen / Yang-Che Wu / Hong Li

    Sustainability, Vol 14, Iss 10617, p

    2022  Volume 10617

    Abstract: This paper presents a model to study how climate forecasts and the agricultural production function affect the effectiveness of government policies (disaster bailouts and agricultural income tax) and agricultural insurance (both compulsory and voluntary). ...

    Abstract This paper presents a model to study how climate forecasts and the agricultural production function affect the effectiveness of government policies (disaster bailouts and agricultural income tax) and agricultural insurance (both compulsory and voluntary). In the base model with a neoclassical production function, we find that these programs could increase farmers’ expected profit and reduce its volatility. Furthermore, credible climate forecasts enable farmers, insurance companies, and governments to make more informed cultivate and insurance decisions, and therefore increase the benefit of these insurance programs to farmers. The results suggest that climate forecasts, combined with agriculture policies and insurance, can play an important role in securing farmers’ profits and providing climate risk management guidance for agriculture production.
    Keywords agricultural insurance ; production function ; government policy ; climate forecast ; Environmental effects of industries and plants ; TD194-195 ; Renewable energy sources ; TJ807-830 ; Environmental sciences ; GE1-350
    Subject code 333 ; 336
    Language English
    Publishing date 2022-08-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  2. Article ; Online: A Well-Designed Implement for Promoting Population Health and Property via Insurance

    Zhengqiao Liu / Li Zhao / Yang-Che Wu / Ming-Che Chuang / Mei-Chih Wang

    Frontiers in Public Health, Vol

    2022  Volume 9

    Abstract: The frequency and intensity of catastrophes (including natural disasters and pandemics) rise and damage the population's health, life and property more seriously. In order to protect population health and wealth via full insurance indemnity, many ... ...

    Abstract The frequency and intensity of catastrophes (including natural disasters and pandemics) rise and damage the population's health, life and property more seriously. In order to protect population health and wealth via full insurance indemnity, many countries set up a public catastrophe insurance scheme (PCIS) to maintain the function of catastrophe insurance markets. Little literature discusses the smart payment way of contributions charged by PCIS. This article design a model to describe the upward trend and cyclic frequency and intensity of catastrophic events. Such characteristics also promote the business cycle of the insurance industry. We analyze the changes in catastrophic insurer's capital structures under three cases of that the volume-based charges to the PCIS may come from equity holders or policyholders or both. PCIS may entail a shift of equity capital toward minimum solvency requirements, and then adverse incentives regarding insurer's security level arise. Various numerical experiments illustrate the changes in equity position, default probabilities, or expected policyholder deficits. The results show that the payment way of contributions should be designed carefully, not only with regard to PCIS's finance balance but also the resultant incentives and effects.
    Keywords catastrophe insurance ; public catastrophe insurance scheme ; population health and property ; minimum solvency requirement ; default risk ; Public aspects of medicine ; RA1-1270
    Subject code 336
    Language English
    Publishing date 2022-01-01T00:00:00Z
    Publisher Frontiers Media S.A.
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  3. Article ; Online: Pandemic Risk Management for Public Health Care Schemes

    Zhengqiao Liu / Yang-Che Wu / Mei-Chih Wang / Yue Ding / Tien-Trung Nguyen

    Frontiers in Public Health, Vol

    2021  Volume 9

    Abstract: The coronavirus disease 2019 (COVID-19) caused by a novel coronavirus, severe acute respiratory syndrome coronavirus 2, has caused a large death, a range of serious health problems, and significant economic costs in many countries around the world. This ... ...

    Abstract The coronavirus disease 2019 (COVID-19) caused by a novel coronavirus, severe acute respiratory syndrome coronavirus 2, has caused a large death, a range of serious health problems, and significant economic costs in many countries around the world. This study analyzes statistical characteristics of pandemic disasters using historical records since the Middle Ages. Compared to literature which studies the effect of the COVID- 19 pandemic on the financial market, this paper attempts to find two financial instruments in the financial market to hedge pandemic risks. Two instruments could be useful for public health care schemes to increase their assets or decrease their liabilities during the pandemic period, namely, assets in the form of a biotechnology investment portfolio and liabilities in the form of pandemic bonds. Empirical results show the feasibility of such instruments and the informational efficiency of the U.S. stock market.
    Keywords pandemic risk management ; COVID-19 ; pandemic probability model ; public health care scheme ; pandemic hedging ; Public aspects of medicine ; RA1-1270
    Language English
    Publishing date 2021-07-01T00:00:00Z
    Publisher Frontiers Media S.A.
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  4. Article ; Online: Determinants of Financial Sustainability in Chinese Firms

    Li Zhao / Zhengqiao Liu / Thi Huong Giang Vuong / Huu Manh Nguyen / Florin Radu / Alina Iuliana Tăbîrcă / Yang-Che Wu

    Sustainability, Vol 14, Iss 1555, p

    A Quantile Regression Approach

    2022  Volume 1555

    Abstract: Our research investigates the connection between firm characteristics and leverage based on a sample of firms listed in the Chinese Stock Index 300. We aim to examine the sustainability of the financial structure of Chinese enterprises covering the ... ...

    Abstract Our research investigates the connection between firm characteristics and leverage based on a sample of firms listed in the Chinese Stock Index 300. We aim to examine the sustainability of the financial structure of Chinese enterprises covering the period 2010–2019. We employ a conditional quantile regression that discloses the behavior of regressions across the leverage distribution and compares its results for different leverage levels with those achieved by the linear regression model. The results confirm the effects of the determinants of capital structure change since the quantile of leverage varies. We find that both the trade-off theory (TOT) and the pecking order theory (POT) confirm the validity of Chinese firms’ financing decisions at different quantiles of leverage. Specifically, the empirical results support the POT more over the TOT at higher levels of the quantile. Furthermore, the relationship between firm size and leverage strongly switches to support the POT at the highest quantile. All empirical results are obtained from quantile regression, consistent with the prediction for an increase in asymmetric information of the POT when Chinese firms employ more debt in their capital structure.
    Keywords financial sustainability ; quantile regression ; capital structure ; financial determinants ; pecking order theory ; trade-off theory ; Environmental effects of industries and plants ; TD194-195 ; Renewable energy sources ; TJ807-830 ; Environmental sciences ; GE1-350
    Subject code 310
    Language English
    Publishing date 2022-01-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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