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1 – 10 of over 15000Xiaobing Huang, Yousaf Ali Khan, Noman Arshed, Sultan Salem, Muhammad Ghulam Shabeer and Uzma Hanif
Social development is the ultimate goal of every nation, and climate change is a major stumbling block. Climate Risk Index has documented several climate change events with their…
Abstract
Purpose
Social development is the ultimate goal of every nation, and climate change is a major stumbling block. Climate Risk Index has documented several climate change events with their devastations in terms of lives lost and economic cost. This study aims to link the climate change and renewable energy with the social progress of extreme climate affected countries.
Design/methodology/approach
This research used the top 50 most climate-affected countries of the decade and estimated the impact of climate risk on social progress with moderation effects of renewable energy and technology. Several competing panel data models such as quantile regression, bootstrap quantile regression and feasible generalized least square are used to generate robust estimates.
Findings
The results confirm that climate hazards obstruct socioeconomic progress, but renewable energy and technology can help to mitigate the repercussion. Moreover, improved institutions enhance the social progress of nations.
Research limitations/implications
Government should improve the institutional quality that enhances their performance in terms of Voice and Accountability, Political Stability and Absence of Violence, Government Effectiveness, Regulatory Quality, Rule of Law and Control of Corruption to increase social progress. In addition, society should use renewable energy instead of fossil fuels to avoid environmental degradation and health hazards. Innovation and technology also play an important role in social progress and living standards, so there should be free hand to private business research and development, encouraging research institutes and universities to come forward for innovation and research.
Practical implications
The ultimate goal of all human struggle is to have progress that facilitates human beings to uplift their living standard. One of the best measures that can tell us about a nation’s progress is Social Progress Index (SPI), and one of many factors that can abruptly change it is the climate; so this study is an attempt to link the relationship among these variables and also discuss the situation where the impact of climate can be reduced.
Social implications
Although social progress is an important concept of today’s economics discussion, relatively few studies are using the SPI to measure social well-being. Similarly, there is consensus about the impact of climate on people, government and crops but relatively less study about its overall impact on social progress, so this study attempts to fill the gap about the relationship between social progress and climate change.
Originality/value
The main contribution of this study is the solution for the impact of climate risk. Climate risk is not in human control, and we cannot eliminate it, but we can reduce the negative impacts of climate change. Moderator impact of renewable energy decreases the negative impact of climate change, so there is a need to use more renewable energy to mitigate the bad consequences of climate on social progress. Another moderator is technology; using technology will also mitigate the negative consequences of the climate, so there is a need to facilitate technological advancement.
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The case has the following learning objectives:1. understand the various types of comparisons that are possible between groups over time and across space;2. evaluate a policy…
Abstract
Learning outcomes
The case has the following learning objectives:
1. understand the various types of comparisons that are possible between groups over time and across space;
2. evaluate a policy intervention using relevant data and different methods; and
3. understand the meaning of the phrase “controlling for other relevant factors” in regression and non-regression contexts.
Case overview/synopsis
The difference-in-differences (DID) approach is a useful tool for making meaningful comparisons. This case tries to provide a non-technical introduction to the approach using a basic comparison of crime rates among districts in Punjab (Pakistan's largest province). Being the most populous region of the country, Punjab faces many governance challenges, and street crime is one of them. (Exhibit 5 provides additional information about the geographical and administrative setting used in this case study.) In 2016, Chief Minister Shahbaz Sharif established the Dolphin (police) Force in different locations to improve urban patrolling and reduce street crime. There were debates about the effectiveness of the Dolphin Force (DF).
Those who are skeptical of DF point to various situations that were handled incorrectly by DF personnel, as well as other administrative and operational problems in the initiative. Optimists believe it is beneficial and want it to be expanded to other districts and regions. The threat of street crime claims many lives and, according to optimists, necessitates the formation of a special force. Whether the huge resources invested in the DF worth their lot or not can be known through sound statistical analysis that can identify the difference in the rate of crime because of the DF. In this instance, the case provides information to answer the following question:
Is there a significant difference in crime rates between areas where the DF is operating and districts where it has not yet been installed?
Complexity academic level
In quantitative/statistical analysis classes, the case can be used to teach the DID technique to MBA/MS Applied Statistics/Applied Data Analysis students. It can also be used in undergraduate Econometrics classes.
Supplementary materials
Teaching notes are available for educators only.
Subject code
CSS 7: Management Science.
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Vandana Savara, Yousef Assaf, Mustafa Hariri, Haya Bassam Alastal and Rania Asad
This paper aims to shed light on how the composition of future blended learning (BL) courses can be changed to provide students with quality academic learning experiences. The…
Abstract
Purpose
This paper aims to shed light on how the composition of future blended learning (BL) courses can be changed to provide students with quality academic learning experiences. The model suggested in this study will guide instructors on how to design their course learning outcomes to ensure effective delivery.
Design/methodology/approach
The new model has been developed by combining Bloom's taxonomy and Carman's model. Later, a new framework entitled “PATHCO” based on an extensive literature review is applied to enhance the quality of all five components of Carman's model.
Findings
The PATHCO conceptual framework has been developed to ensure quality in the five main teaching and learning factors. This framework covers criteria like pedagogical, assessments, technical, health care and organizational. Further research is required to broaden the main elements of the suggested framework and to validate this research through a case study.
Originality/value
The COVID-19 pandemic has transformed the landscape of the education sector by encouraging an extensive acceptance of technology-enhanced learning and teaching. Blended learning (BL) has become the most appropriate medium to deliver online learning (OL). However, educators and students have reported dissatisfaction with the BL mode of delivery. To address this dissatisfaction, this study outlines, using the PATHCO model, all the essential building blocks which are required to find the right blend of both face-to-face and online components.
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Warisa Thangjai and Sa-Aat Niwitpong
Confidence intervals play a crucial role in economics and finance, providing a credible range of values for an unknown parameter along with a corresponding level of certainty…
Abstract
Purpose
Confidence intervals play a crucial role in economics and finance, providing a credible range of values for an unknown parameter along with a corresponding level of certainty. Their applications encompass economic forecasting, market research, financial forecasting, econometric analysis, policy analysis, financial reporting, investment decision-making, credit risk assessment and consumer confidence surveys. Signal-to-noise ratio (SNR) finds applications in economics and finance across various domains such as economic forecasting, financial modeling, market analysis and risk assessment. A high SNR indicates a robust and dependable signal, simplifying the process of making well-informed decisions. On the other hand, a low SNR indicates a weak signal that could be obscured by noise, so decision-making procedures need to take this into serious consideration. This research focuses on the development of confidence intervals for functions derived from the SNR and explores their application in the fields of economics and finance.
Design/methodology/approach
The construction of the confidence intervals involved the application of various methodologies. For the SNR, confidence intervals were formed using the generalized confidence interval (GCI), large sample and Bayesian approaches. The difference between SNRs was estimated through the GCI, large sample, method of variance estimates recovery (MOVER), parametric bootstrap and Bayesian approaches. Additionally, confidence intervals for the common SNR were constructed using the GCI, adjusted MOVER, computational and Bayesian approaches. The performance of these confidence intervals was assessed using coverage probability and average length, evaluated through Monte Carlo simulation.
Findings
The GCI approach demonstrated superior performance over other approaches in terms of both coverage probability and average length for the SNR and the difference between SNRs. Hence, employing the GCI approach is advised for constructing confidence intervals for these parameters. As for the common SNR, the Bayesian approach exhibited the shortest average length. Consequently, the Bayesian approach is recommended for constructing confidence intervals for the common SNR.
Originality/value
This research presents confidence intervals for functions of the SNR to assess SNR estimation in the fields of economics and finance.
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Rafiq Ahmad and Muhammad Rafiq
The digital contents (d-contents) are vulnerable to various threats either natural or manmade. Digital preservation is the plethora of a wide array of strategies necessary for the…
Abstract
Purpose
The digital contents (d-contents) are vulnerable to various threats either natural or manmade. Digital preservation is the plethora of a wide array of strategies necessary for the long-term preservation of digital objects. This study was carried out to assess the digital preservation practices for information resources in university libraries of Pakistan.
Design/methodology/approach
A quantitative survey based on a structured questionnaire was carried out to conduct the study. The questionnaire containing two sets of strategies (general and technical) was distributed amongst the whole population and received 90% response rate.
Findings
Overall, progressive implementation of general digital preservation practices was noted in these libraries like checking the digital collections for viruses, keeping the digital media in fire/water/theft proof locations, restricting unauthorized access, maintaining ideal humidity and temperature, and checking the digital media for functionality. Amongst the technical practices, only replication was in practice at a progressive rate, followed by metadata recording and media refreshing that was sometimes practiced in these libraries. The other technical practices were rarely or never practiced in these libraries. Significant variances in general and technical digital preservation practices were noted based on their physical locations (regional distribution).
Research limitations/implications
The study contributes a comprehensive set of digital preservation practices divided into general and technical types to conduct similar studies in other parts of the world.
Practical implications
The findings stress the need for national and institutional policies, funding streams and skill enhancement of library staff.
Originality/value
The study fills the literature gap and contributes a comprehensive set of digital preservation practices divided into general and technical types to conduct similar studies in other parts of the world.
Peer review
The peer-review history for this article is available at: https://publons.com/publon/10.1108/OIR-02-2023-0074
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Family farms are seen as a powerful force for rural development, and they are gaining more and more research attention. This study aims to explore the relationship between the…
Abstract
Purpose
Family farms are seen as a powerful force for rural development, and they are gaining more and more research attention. This study aims to explore the relationship between the social networks of family farms and the dual innovation of the family farm business model from the perspective of entrepreneurial orientation.
Design/methodology/approach
Using a questionnaire survey of 169 family farms in Qingdao, China, descriptive and inferential statistics were used to analyze the data collected. The study hypothesis was tested using inferential tests (regression analysis).
Findings
The study results show that innovative, efficiency- and novelty-based business models facilitated by social networks have a favorable and significant impact on the performance of family farms. Furthermore, the relationship between social networks and new business model creation is positively influenced by an entrepreneurial orientation.
Originality/value
This study is distinctive in that it examines the mechanisms underlying family farm growth from an entrepreneurial standpoint, classifying family farm social networks for the first time into social, market and governmental categories and looking at their impact on the creation of new business models. In addition, it looks into the relationship between the innovation and social network aspect of the family farm business model from an entrepreneurial perspective, offering fresh insight into this connection. It also examines the family farm business model’s connection to innovation and social networks from an entrepreneurial standpoint, providing new insight into this relationship.
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Núria Arimany-Serrat, M. Àngels Farreras-Noguer and Germà Coenders
This study aims to focus on the impact of COVID-19 on the Spanish wine sector and the financial resilience of Spanish wineries in the period 2019–2020.
Abstract
Purpose
This study aims to focus on the impact of COVID-19 on the Spanish wine sector and the financial resilience of Spanish wineries in the period 2019–2020.
Design/methodology/approach
The data set contains 355 limited companies of the Spanish wine sector which were active in the period 2019–2020. The explanatory variables used are size and age of the company, exports, subsidies and gender distribution in the workforce. The financial statements of the companies are treated as compositional data, using log-ratios for asset structure, leverage, margin, turnover and debt maturity. The first-difference estimator is used for the panel-data model relating the differences in the log-ratios between 2020 and 2019 to the explanatory variables.
Findings
In average terms, margin and turnover have significantly worsened between 2019 and 2020, while debt maturity has increased. A larger firm size, a greater age, a higher share of women in the workforce and subsidies have made wineries more resilient between 2019 and 2020.
Originality/value
To the best of the authors’ knowledge, this is the first financial statement analysis of the impact of COVID-19 in the winery sector.
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Yixin Zhao, Zhonghai Cheng and Yongle Chai
Natural disasters profoundly influence agricultural trade sustainability. This study investigates the effects of natural disasters on agricultural production imports in China…
Abstract
Purpose
Natural disasters profoundly influence agricultural trade sustainability. This study investigates the effects of natural disasters on agricultural production imports in China within 2002 and 2018. This exploration estimates the mediating role of transportation infrastructure and agriculture value-added and the moderating role of government effectiveness and diplomatic relations.
Design/methodology/approach
This investigation uses Probit, Logit, Cloglog and Ordinary Least Squares (OLS) models.
Findings
The results confirm the mediating role of transportation infrastructure and agriculture value-added and the moderating role of government effectiveness and diplomatic relations in China. According to the findings, natural disasters in trading partners heighten the risk to the agricultural imports. This risk raises, if disasters damage overall agricultural yield or transportation infrastructure. Moreover, governments’ effective response or diplomatic ties with China mitigate the risk. Finally, the effect of disasters varies by the developmental status of the country involved, with events in developed nations posing a greater risk to China’s imports than those in developing nations.
Originality/value
China should devise an early warning system to protect its agricultural imports by using advanced technologies such as data analytics, remote sensing and artificial intelligence. In addition, it can leverage this system by improving its collaboration with trading partners, involvement in international forums and agreement for mutual support in crisis.
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Salimeh Sadat Aghili, Mohsen Torabian, Mohammad Hassan Behzadi and Asghar Seif
The purpose of this paper is to develop a double-objective economic statistical design (ESD) of (
Abstract
Purpose
The purpose of this paper is to develop a double-objective economic statistical design (ESD) of (
Design/methodology/approach
The design used in this study is based on a double-objective economic statistical design of (
Findings
Numerical results indicate that it is not possible to reduce the second type of error and costs at the same time, which means that by reducing the second type of error, the cost increases, and by reducing the cost, the second type of error increases, both of which are very important. Obtained based on the needs of the industry and which one has more priority has the right to choose. These designs define a Pareto optimal front of solutions that increase the flexibility and adaptability of the
Practical implications
This research adds to the body of knowledge related to flexibility in process quality control. This article may be of interest to quality systems experts in factories where the choice between cost reduction and statistical factor reduction can affect the production process.
Originality/value
The cost functions for double-objective uniform and non-uniform sampling schemes with the Weibull shock model based on the Linex loss function are presented for the first time.
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Aikaterini Balasi, George Iordanidis and Eleni Tsakiridou
To improve school organisational performance and innovativeness, and meet diverse student needs, school leaders should be innovative, risk-takers and proactive, thus applying…
Abstract
Purpose
To improve school organisational performance and innovativeness, and meet diverse student needs, school leaders should be innovative, risk-takers and proactive, thus applying entrepreneurial practices/strategies and market mechanisms. This study aims to investigate, from a schoolteacher's perspective, the degree of entrepreneurial leadership behaviour (ELB) applied by school principals in European primary schools. Given that school autonomy is perceived as an important predictor of leaders' entrepreneurship, this study investigates the impact of educational macro (autonomy and accountability) and micro (demographics) contexts on ELB by comparing centralised and decentralised European school systems with the highly centralised Greek school system.
Design/methodology/approach
This comparative study was conducted in Greece (630 participants) and in 14 European countries (972 participants). Thornberry's Entrepreneurial Leadership Questionnaire was used, comprising general entrepreneurial leader (GEL), miner (MIN), accelerator (ACC), explorer (EXP) and integrator (INT) behaviours.
Findings
The results revealed that ELB is a multi-dimensional concept, and that all participating teachers perceived ELB application moderately, with more focus on the internal (than external) school environment. Furthermore, the dual-directional macro-contextual influence found in applying ELB indicates that high school autonomy and accountability activate ELB owing to the school's freedom to engage in entrepreneurial ventures, while low autonomy/accountability still activates ELB, but only for organisational survival within hierarchical-bureaucratic school environments. This feature differentiates “intrapreneur/intrepreneur” from “entrepreneur” school principals.
Originality/value
The theoretical basis of entrepreneurial leadership (EL) in education should include entrepreneurial multi-dimensional leadership aspects (competencies, behaviours, skills) and educational context (macro and micro). Implications for school leadership research and practice are also discussed.
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