scholarly journals Research on forest insurance policy simulation in China

2019 ◽  
Vol 1 (1) ◽  
pp. 82-95
Author(s):  
Ning Ma ◽  
Can Li ◽  
Yang Zuo
Keyword(s):  
Large Scale ◽  
Forest Area ◽  
Insurance Companies ◽  
Content Type ◽  
Government Subsidies ◽  
Multi Agent ◽  
The Government ◽  
The Impact ◽  
Decision Making Rule ◽  
Forest Insurance

Purpose Forest insurance is a popular way to reduce the loss of forest disasters, so it is necessary to actively involve stakeholders. In the multi-agent simulation model, the government, insurance companies and forest farmers participate as three main stakeholders. The purpose of this paper is to mainly simulate the behavior of forest farmers under different environmental variables in order to find the important factors affecting the coverage of forest insurance, so as to improve the ability of forest farmers to resist risks in the face of disasters. Design/methodology/approach In the simulation process, the decision-making rule of a forest farmer’s purchasing behavior is a binary selection chain, which is created at random. Forest farmer agents who adapt to the environment will remain; on the contrary, those will be eliminated. The eliminated agents will renew their behavior selection chains through learning others’ successful behavior based on genetic algorithm. The multi-agent mode is set up on the Eclipse platform by using Java language. Findings The adjustment simulation experiments of insurance premium, insurance subsidy and forest area were carried out. According to the result, conclusions and suggestions are as follows: at present, government subsidies are necessary for the implementation of forest insurance; in the future, with the expansion of the insured forest area and the upgrading and large-scale operation of forest farms, forest farmers will be more willing to join forest insurance program, and, then, the implementation of forest insurance no longer requires government subsidies for forest insurance premiums. Originality/value This paper explores the impact of three important factors on the implementation of forest insurance.

scholarly journals Application of Machine Learning Techniques to Predict the Impact of Health Insurance on the Wellbeing of an Individual

2019 ◽  
Vol 9 (2) ◽  
pp. 3065-3070
Keyword(s):  
Machine Learning ◽  
Health Insurance ◽  
Large Scale ◽  
Insurance Industry ◽  
Financial Burden ◽  
Machine Learning Algorithms ◽  
Machine Learning Techniques ◽  
Insurance Companies ◽  
The Government ◽  
The Impact

The healthcare domain in India has suffered considerably despite the advancement in technology. Several financing schemes are endorsed by the insurance companies to lessen the financial burden faced by the government and people. Nonetheless, Health Insurance segment in India remains underdeveloped due to various complexities that it faces. This paper exploits a heuristic sampling approach combined with the ensemble Machine Learning algorithms on the large-scale insurance business data to realize the current shape of the Health Insurance industry in India. Through the courtesy of Data Mining and Data Analytics, it is plausible to furnish insights that assist the common people in acquiring closure that helps in the process of decision making.

Assessing sustainability marketing from macromarketing perspective: a multistakeholder approach

2020 ◽  
Vol 16 (4) ◽  
pp. 287-305 ◽  
Author(s):  
Soha Abutaleb ◽  
Noha El-Bassiouny
Keyword(s):  
Theory Of Planned Behavior ◽  
Planned Behavior ◽  
Purchase Intentions ◽  
Marketing Strategies ◽  
Content Type ◽  
Quantitative Research Methods ◽  
Sustainable Products ◽  
Government Role ◽  
The Government ◽  
The Impact

PurposeThe paper examines three main stakeholders in the market and their roles toward achieving sustainability marketing. Those stakeholders are consumers, companies and policymakers. The current study is examining consumers’ attitudes toward sustainability marketing and their purchase intentions of sustainable products through the use of theory of planned behavior. The paper is also examining the role of companies and policymakers in encouraging consumers to consider sustainability in their purchasing decisions.Design/methodology/approachConcurrent research study is applied, where qualitative and quantitative research methods are conducted at the same time for different purposes with equal weights. Qualitative interviews were applied with fast-moving consumer goods companies and policymakers, while quantitative surveys were applied with Egyptian consumers.FindingsThe results showed that companies are taking serious and effective steps in transforming their marketing strategies into sustainable marketing ones. The government role is still limited as there are no strict laws and regulations that force companies and factories in Egypt to develop sustainability marketing strategies. Consumers’ attitudes were highly affected by firms' sustainable practices as well as subjective norms that led to influencing their intentions toward purchasing sustainable products.Originality/valueAlthough the topic of sustainability marketing is considered by a plenty of researchers in the academic discipline, there are no studies that have combined the main three stakeholders' roles in achieving sustainability marketing in one study. The study highlights the impact of government role and firms' role on consumers' attitudes and purchase intentions toward sustainable products, especially convenient products. This was done through the adoption of the theory of planned behavior.

scholarly journals Effectiveness of a Power Factor Correction Policy in Improving the Energy Efficiency of Large-Scale Electricity Users in Ghana

Energies ◽  
2019 ◽  
Vol 12 (13) ◽  
pp. 2582 ◽  
Author(s):  
Samuel Lotsu ◽  
Yuichiro Yoshida ◽  
Katsufumi Fukuda ◽  
Bing He
Keyword(s):  
Energy Efficiency ◽  
Power Factor ◽  
Large Scale ◽  
Regression Discontinuity ◽  
Power Factor Correction ◽  
Energy Crisis ◽  
Regression Discontinuity Design ◽  
The Government ◽  
Power Factor Improvement ◽  
The Impact

Confronting an energy crisis, the government of Ghana enacted a power factor correction policy in 1995. The policy imposes a penalty on large-scale electricity users, namely, special load tariff (SLT) customers of the Electricity Company of Ghana (ECG), whose power factor is below 90%. This paper investigates the impact of this policy on these firms’ power factor improvement by using panel data from 183 SLT customers from 1994 to 1997 and from 2012. To avoid potential endogeneity, this paper adopts a regression discontinuity design (RDD) with the power factor of the firms in the previous year as a running variable, with its cutoff set at the penalty threshold. The result shows that these large-scale electricity users who face the penalty because their power factor falls just short of the threshold are more likely to improve their power factor in the subsequent year, implying that the power factor correction policy implemented by Ghana’s government is effective.

scholarly journals Potentiating Effect of Mandelate and Lactate on Chemically Induced Germination in Members of Bacillus cereus Sensu Lato

2017 ◽  
Vol 83 (24) ◽  
Author(s):  
Alistair H. Bishop
Keyword(s):  
Bacillus Cereus ◽  
Large Scale ◽  
Germination Rate ◽  
Dependent Manner ◽  
Clostridium Sporogenes ◽  
Specific Chemical ◽  
Content Type ◽  
Ph Range ◽  
Significant Discovery ◽  
The Impact

ABSTRACT Endospores of the genus Bacillus can be triggered to germinate by a limited number of chemicals. Mandelate had powerful additive effects on the levels and rates of germination produced in non-heat-shocked spores of Bacillus anthracis strain Sterne, Bacillus cereus, and Bacillus thuringiensis when combined with l-alanine and inosine. Mandelate had no germinant effect on its own but was active with these germinants in a dose-dependent manner at concentrations higher than 0.5 mM. The maximum rate and extent of germination were produced in B. anthracis by 100 mM l-alanine with 10 mM inosine; this was equaled by just 25% of these germinants when supplemented with 10 mM mandelate. Half the maximal germination rate was produced by 40% of the optimum germinant concentrations or 15% of them when supplemented with 0.8 mM mandelate. Germination rates in B. thuringiensis were highest around neutrality, but the potentiating effect of mandelate was maintained over a wider pH range than was germination with l-alanine and inosine alone. For all species, lactate also promoted germination in the presence of l-alanine and inosine; this was further increased by mandelate. Ammonium ions also enhanced l-alanine- and inosine-induced germination but only when mandelate was present. In spite of the structural similarities, mandelate did not compete with phenylalanine as a germinant. Mandelate appeared to bind to spores while enhancing germination. There was no effect when mandelate was used in conjunction with nonnutrient germinants. No effect was produced with spores of Bacillus subtilis, Clostridium sporogenes, or C. difficile. IMPORTANCE The number of chemicals that can induce germination in the species related to Bacillus cereus has been defined for many years, and they conform to specific chemical types. Although not a germinant itself, mandelate has a structure that is different from these germination-active compounds, and its addition to this list represents a significant discovery in the fundamental biology of spore germination. This novel activity may also have important applied relevance given the impact of spores of B. cereus in foodborne disease and B. anthracis as a threat agent. The destruction of spores of B. anthracis, for example, particularly over large outdoor areas, poses significant scientific and logistical problems. The addition of mandelate and lactate to the established mixtures of l-alanine and inosine would decrease the amount of the established germinants required and increase the speed and level of germination achieved. The large-scale application of “germinate to decontaminate” strategy may thus become more practicable.

Analytical redefinition of DOL and managerial investment decisions

2014 ◽  
Vol 40 (7) ◽  
pp. 734-754 ◽  
Author(s):  
Yoram Kroll ◽  
David Yechiam Aharon
Keyword(s):  
Large Scale ◽  
Investment Decision ◽  
Production Level ◽  
Fixed Cost ◽  
Theoretical Formulation ◽  
Optimal Production ◽  
Demand Shocks ◽  
Content Type ◽  
Operating Leverage ◽  
The Impact

Purpose – The purpose of this paper is to develop alternative analytical measures for the degree of operating leverage (DOL) that reflect the impact of uncertain demand shocks in the product's market on optimal production levels, sales and profits of the firm. Design/methodology/approach – The elasticity measures are constructed according to a theoretical formulation of optimal production level that corresponds to demand shocks for given predetermined levels of fixed cost. Findings – The paper suggests two main findings. First, the analytical marginal DOL is at least twice the traditional DOL depending on the structure of the shock, the production function and demand's elasticity. The traditional DOL is equal to the measure only when large-scale negative demand prompts the firm to abandon production. Second, the paper also provides an analytical measure of DOL in terms of elasticity of profit to sales rather than to production level. Both theoretically and empirically elasticity of profit to sales can be better measured and better reflects risk. Research limitations/implications – This paper should be extended to encompass multiple shocks on demand and supply while investigating the empirical multi variants distribution of the shocks. Practical implications – The model can be used by managers who are well informed about the fixed and variable costs of their firm. The model determines the mean profit- risk trade off which is an important factor in all investment decision problems. Originality/value – Surprisingly and according to the best knowledge, this paper is the first attempt in the literature for alternative analytical DOLs’ formulations that is coherent with basic economic theories of optimal production level under risk.

The performance of the Broad Based Black Economic Empowerment compliant listed property firms in South Africa

2016 ◽  
Vol 34 (1) ◽  
pp. 3-26 ◽  
Author(s):  
Omokolade Akinsomi ◽  
Katlego Kola ◽  
Thembelihle Ndlovu ◽  
Millicent Motloung
Keyword(s):  
Stock Returns ◽  
Factor Model ◽  
Stock Exchange ◽  
Sharpe Ratio ◽  
Economic Empowerment ◽  
Content Type ◽  
Black Economic ◽  
Black Economic Empowerment ◽  
The Government ◽  
The Impact

Purpose – The purpose of this paper is to examine the impact of Broad-Based Black Economic Empowerment (BBBEE) on the risk and returns of listed and delisted property firms on the Johannesburg Stock Exchange (JSE). The study was investigated to understand the impact of Black Economic Empowerment (BEE) property sector charter and effect of government intervention on property listed markets. Design/methodology/approach – The study examines the performance trends of the listed and delisted property firms on the JSE from January 2006 to January 2012. The data were obtained from McGregor BFA database to compute the risk and return measures of the listed and delisted property firms. The study employs a capital asset pricing model (CAPM) to derive the alpha (outperformance) and beta (risk) to examine the trend amongst the BEE and non-BEE firms, Sharpe ratio was also employed as a measurement of performance. A comparative study is employed to analyse the risks and returns between listed property firms that are BEE compliant and BEE non-compliant. Findings – Results show that there exists differences in returns and risk between BEE-compliant firms and non-BEE-compliant firms. The study shows that BEE-compliant firms have higher returns than non-BEE firms and are less risky than non-BEE firms. By establishing this relationship, this possibly affects the investor’s decision to invest in BEE firms rather than non-BBBEE firms. This study can also assist the government in strategically adjusting the policy. Research limitations/implications – This study employs a CAPM which is a single-factor model. Further study could employ a multi-factor model. Practical implications – The results of this investigation, with the effects of BEE on returns, using annualized returns, the Sharpe ratio and alpha (outperformance), results show that BEE firms perform better than non-BEE firms. These results pose several implications for investors particularly when structuring their portfolios, further study would need to examine the role of BEE on stock returns in line with other factors that affect stock returns. The results in this study have several implications for government agencies, there may be the need to monitor the effect of the BEE policies on firm returns and re-calibrate policies accordingly. Originality/value – This study investigates the performance of listed property firms on the JSE which are BEE compliant. This is the first study to investigate listed property firms which are BEE compliant.

Buyer-assisted lean intervention in supplier firms: a supplier development approach

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Imranul Hoque
Keyword(s):  
Financial Incentives ◽  
Large Scale ◽  
Qualitative Data ◽  
Research Approach ◽  
Capability Development ◽  
Content Type ◽  
Production Capability ◽  
Lean Tools ◽  
The Right ◽  
The Impact

PurposeThis study aims to investigate how buyer-assisted lean intervention in garment supplier factories affects garment suppliers' productivity and production capability development.Design/methodology/approachEmploying a qualitative research approach and a lean intervention design, a multiple case study method was adopted for this study. Quantitative data on productivity performance and qualitative data on production capability development were collected from a Danish buyer and their four corresponding garment suppliers. Collected data were analysed using standard lean measurement tools and qualitative data analysis techniques.FindingsThis study demonstrates that buyer-assisted lean intervention is a useful strategy for garment suppliers to enhance their productivity and production capability. However, suppliers need to select the right lean tools, ensure seriousness and commitment to lean initiatives, substantial involvement of top management and workers, arrange formal and informal training, provide performance-based financial/non-financial incentives and nurture a learning culture to facilitate suppliers' production capability development.Research limitations/implicationsThis study implemented few lean tools in a single sewing line in four supplier factories for a short intervention duration. Thus, there is a scope for future studies to investigate the impact of the lean intervention on a large scale.Practical implicationsThe findings of this study might bring new insights to the management of buyer and supplier firms concerning how buyers could involve in suppliers' lean intervention initiatives and what suppliers need to ensure to develop production capability.Originality/valueFor the first time, this study engaged a buyer in suppliers' lean intervention initiatives to improve productivity and production capability in the garment industry of a developing country.

Mandatory corporate social responsibility in India: reporting reality, issues and way forward

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Pawan Taneja ◽  
Ameeta Jain ◽  
Mahesh Joshi ◽  
Monika Kansal
Keyword(s):  
Corporate Social Responsibility ◽  
Social Responsibility ◽  
Mandatory Reporting ◽  
Content Type ◽  
Csr Reporting ◽  
Reporting Requirements ◽  
Expectation Gap ◽  
The Government ◽  
Corporate Social ◽  
The Impact

Purpose Since 2013, the Indian Companies Act Section 135 has mandated corporate social responsibility (CSR) reporting by Indian central public sector enterprises (CPSEs). CSR reporting is regulated by multiple Government of India ministerial agencies, each requiring different formats and often different data. This study aims to understand the impact of these multiple regulatory bodies on CSR reporting by Indian CPSEs; evaluate the expectation gap between regulators and the regulated; and investigate the compliance burden on CPSEs. Design/methodology/approach An interview-based approach was adopted to evaluate the perspectives of both regulators and regulated CPSEs on the impact of the new regulations on CSR reporting quality. The authors use the lens of institutional theory to analyse the findings. Findings Driven by coercive institutional pressures, CPSEs are overburdened with myriad reporting requirements, which significantly negatively impact CPSEs’ financial and human resources and the quality of CSR activity and reports. It is difficult for CPSEs to assess the actual impact of their CSR activities due to overlapping with activities of the government/other institutions. The perceptions of regulators and the regulated are divergent: the regulators expect CPSEs to select more impactful CSR projects to comply with mandatory reporting requirements. Originality/value The findings of this study emphasise the need for meaningful dialogue between regulators and the regulated to reduce the expectation gap and establish a single regulatory authority that will ensure that the letter and spirit of the law are followed in practice and not just according to a tick-box approach.

How can an economic scenario generation model cope with abrupt changes in financial markets?

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Yi-Hsi Lee ◽  
Ming-Hua Hsieh ◽  
Weiyu Kuo ◽  
Chenghsien Jason Tsai
Keyword(s):  
Financial Markets ◽  
Large Scale ◽  
Moving Average ◽  
Insurance Companies ◽  
Scenario Generation ◽  
Autoregressive Moving Average ◽  
Generation Model ◽  
Content Type ◽  
Abrupt Changes ◽  
Key Issues

PurposeIt is quite possible that financial institutions including life insurance companies would encounter turbulent situations such as the COVID-19 pandemic before policies mature. Constructing models that can generate scenarios for major assets to cover abrupt changes in financial markets is thus essential for the financial institution's risk management.Design/methodology/approachThe key issues in such modeling include how to manage the large number of risk factors involved, how to model the dynamics of chosen or derived factors and how to incorporate relations among these factors. The authors propose the orthogonal ARMA–GARCH (autoregressive moving-average–generalized autoregressive conditional heteroskedasticity) approach to tackle these issues. The constructed economic scenario generation (ESG) models pass the backtests covering the period from the beginning of 2018 to the end of May 2020, which includes the turbulent situations caused by COVID-19.FindingsThe backtesting covering the turbulent period of COVID-19, along with fan charts and comparisons on simulated and historical statistics, validates our approach.Originality/valueThis paper is the first one that attempts to generate complex long-term economic scenarios for a large-scale portfolio from its large dimensional covariance matrix estimated by the orthogonal ARMA–GARCH model.

THE IMPACT OF THE DEVELOPMENT OF PROPERTY RELATIONS ON THE INSTITUTIONS OF ENTREPRENEURSHIP IN THE REPUBLIC OF AZERBAIJAN

2017 ◽  
Author(s):  
Vugar Nazarov ◽  
◽  
Jamal Hajiyev ◽  
Vasif Ahadov ◽  
◽  
...  
Keyword(s):  
Social Development ◽  
Large Scale ◽  
Private Property ◽  
Scale Transformation ◽  
Economic Relations ◽  
Property Relations ◽  
Property System ◽  
The Republic ◽  
The Government ◽  
The Impact

Local and foreign scientists are now paying growing attention to various issues of property and the philosophical and ethical, political, economic, institutional, social, psychological, and other aspects of its formation, taking into account the requirements of large-scale transformation, which primarily concern post-industrial areas of social development. In consequence, as modern studies rightfully point out, considering property relations, two general restrictions should be taken into account: this is an attempt to explain the absoluteness of their roles, the presence and content of all aspects of socio-economic relations by property relations; and the denial of the role of property as one of the most important factors determining the direction of social development in the present and future.This situation forces a new look at the economic policy of the state in this area, because any financial and monetary measures taken by the government will be doomed to failure if their implementation will be without interaction with the mechanisms of the private property system. The article defines the entrepreneurial sector of the region, its interaction with the institutions of the market system operating in all sectors and spheres of the region's economy, and also shows the influence of the development of property relations on the institutions of entrepreneurship.

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