Universities play a crucial role in building the economic development capacity for their communities and regions. Their capacity building role is typically defined by contributions to the economic bottom line of the community and region where a university is located. This kind of capacity building may find itself in conflict with the long-term sustainable development needs of the region and with the responsibility of the university itself. Sustainable capacity building may require strategies that focus on the specific social, cultural, environmental, and physical context of a university’s location beyond purely economic capacity goals. To achieve sustainable development outcomes, universities must advance an understanding of the context conditions within which they are located. At least three context systems are relevant to this view of development: the economy, society and culture, and the environment with its physical, biological, and ecological context conditions. Each of these context systems is characterized by distinct time frames, spatial configurations, rules, and success measures. A focus on economic development outcomes reflects only one subsystem’s rules, behaviors, and success measures. By analyzing two case study examples from the United States and South Africa, we offer a framework for universities to advance sustainability objectives that correspond to their broader responsibilities. We argue that in order to meet these broader responsibilities, universities must first commit to giving expression to their own local context through the voices and lived realities of students and residents. Since universities build the brain trust of communities and regions around the world, they play an essential role in strengthening global sustainability goals by building the local capacity of their communities and regions.
{"title":"Local Commitment and Global Reach: Advancing Sustainable Capacity Building in Higher Education","authors":"S. O’Hara, S. Naicker","doi":"10.3390/world3040044","DOIUrl":"https://doi.org/10.3390/world3040044","url":null,"abstract":"Universities play a crucial role in building the economic development capacity for their communities and regions. Their capacity building role is typically defined by contributions to the economic bottom line of the community and region where a university is located. This kind of capacity building may find itself in conflict with the long-term sustainable development needs of the region and with the responsibility of the university itself. Sustainable capacity building may require strategies that focus on the specific social, cultural, environmental, and physical context of a university’s location beyond purely economic capacity goals. To achieve sustainable development outcomes, universities must advance an understanding of the context conditions within which they are located. At least three context systems are relevant to this view of development: the economy, society and culture, and the environment with its physical, biological, and ecological context conditions. Each of these context systems is characterized by distinct time frames, spatial configurations, rules, and success measures. A focus on economic development outcomes reflects only one subsystem’s rules, behaviors, and success measures. By analyzing two case study examples from the United States and South Africa, we offer a framework for universities to advance sustainability objectives that correspond to their broader responsibilities. We argue that in order to meet these broader responsibilities, universities must first commit to giving expression to their own local context through the voices and lived realities of students and residents. Since universities build the brain trust of communities and regions around the world, they play an essential role in strengthening global sustainability goals by building the local capacity of their communities and regions.","PeriodicalId":49307,"journal":{"name":"Microlithography World","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90770009","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This paper discusses the effectiveness of EU economic measures towards the pandemic crisis in the case of Greece. As the pandemic crisis was an exogenous and symmetric crisis, EU member states decided to take supply and demand side measures to tackle economic recession. Not only the Recovery plan for Europe (NGEU), but also the Escape Clause, as well as non-standard monetary measures, were implemented in order to achieve growth. Furthermore, fiscal expansion, as well as common debt extraction, using green and social bonds led to higher government spending and sovereign debt. The paper’s research question is “Could fiscal expansion mitigate the economic consequences of pandemic crisis?” In other worlds, the research gap which this paper tries to fill is that for the contemporary EU response to two different crises, the economic and the pandemic. Our analysis, by using a comparative approach, shows that government spending and fiscal expansion is effective in the short-run, as the temporary measures led to higher GDP growth rates and lower unemployment rates, but in the long-run demand side measures led to higher inflation and higher sovereign debt.
{"title":"Discussing EU Policies and Mechanisms towards the COVID-19 Pandemic Crisis: A Case Study of Greece","authors":"N. Apostolopoulos, Marios Psychalis, P. Liargovas","doi":"10.3390/world3040043","DOIUrl":"https://doi.org/10.3390/world3040043","url":null,"abstract":"This paper discusses the effectiveness of EU economic measures towards the pandemic crisis in the case of Greece. As the pandemic crisis was an exogenous and symmetric crisis, EU member states decided to take supply and demand side measures to tackle economic recession. Not only the Recovery plan for Europe (NGEU), but also the Escape Clause, as well as non-standard monetary measures, were implemented in order to achieve growth. Furthermore, fiscal expansion, as well as common debt extraction, using green and social bonds led to higher government spending and sovereign debt. The paper’s research question is “Could fiscal expansion mitigate the economic consequences of pandemic crisis?” In other worlds, the research gap which this paper tries to fill is that for the contemporary EU response to two different crises, the economic and the pandemic. Our analysis, by using a comparative approach, shows that government spending and fiscal expansion is effective in the short-run, as the temporary measures led to higher GDP growth rates and lower unemployment rates, but in the long-run demand side measures led to higher inflation and higher sovereign debt.","PeriodicalId":49307,"journal":{"name":"Microlithography World","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75744012","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Carlos Rosano-Peña, João Vitor Borges Silva, A. Serrano, José Eustáquio Ribeiro Vieira Filho, Herbert Kimura
This study analyzes the municipal agriculture eco-efficiency in the Amazon biome and the influence of exogenous factors. We use a two-stage data envelopment analysis (DEA) method with bootstrap. The results indicate that: (i) the density curve of the corrected eco-efficiency indices is statistically different from the deterministic score curves, suggesting the presence of bias in the latter; (ii) there is evidence of constant returns, demonstrating that small, medium and large municipalities can be equally eco-efficient; (iii) there are relevant eco-inefficient behaviors, showing that it is possible to increase the products (gross revenue and preserved area) and simultaneously reduce environmental damage (impact on biodiversity and greenhouse gas emission indices) with the same inputs, by replicating the best practices; and (iv) eco-efficiency scores are also substantially affected by exogenous factors. Based on the results, strategies can be defined by decision-makers to harmonize economic growth and environmental preservation; in addition, adaptive policies and actions can be adopted to optimize the sustainability of regional agriculture.
{"title":"Eco-Efficiency of Agriculture in the Amazon Biome: Robust Indices and Determinants","authors":"Carlos Rosano-Peña, João Vitor Borges Silva, A. Serrano, José Eustáquio Ribeiro Vieira Filho, Herbert Kimura","doi":"10.3390/world3040042","DOIUrl":"https://doi.org/10.3390/world3040042","url":null,"abstract":"This study analyzes the municipal agriculture eco-efficiency in the Amazon biome and the influence of exogenous factors. We use a two-stage data envelopment analysis (DEA) method with bootstrap. The results indicate that: (i) the density curve of the corrected eco-efficiency indices is statistically different from the deterministic score curves, suggesting the presence of bias in the latter; (ii) there is evidence of constant returns, demonstrating that small, medium and large municipalities can be equally eco-efficient; (iii) there are relevant eco-inefficient behaviors, showing that it is possible to increase the products (gross revenue and preserved area) and simultaneously reduce environmental damage (impact on biodiversity and greenhouse gas emission indices) with the same inputs, by replicating the best practices; and (iv) eco-efficiency scores are also substantially affected by exogenous factors. Based on the results, strategies can be defined by decision-makers to harmonize economic growth and environmental preservation; in addition, adaptive policies and actions can be adopted to optimize the sustainability of regional agriculture.","PeriodicalId":49307,"journal":{"name":"Microlithography World","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79129414","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
It is not simple to consider the world from only one side, but analyzing all sides can cloud comprehension without reaching deep insight found at the core. In a word as a whole, there is potential for telling the whole world in one word, i.e., data, leading to interpretations as phenomena and paradigms at the core of this review. The tug of war between the two sides explains that data represent the world, or vice versa, and present a fundamental view that systems or subsystems frame the world, even though they are encoded and composed of culture, rules, or approaches such as the threshold of democracy. When the COVID-19 pandemic posed a threat, human efforts contributed to finding potentially answers to questions presented by the world: what, who, where, when, why, and how (5 wh); a calling in the form of a challenge, where facts show something. All these questions resulted in research, education, and service activities, with their respective data frameworks producing results. This paper aims to reveal the meaning of the outcomes through an observation from an outside perspective. Therefore, like COVID-19 and its vaccines, the assertion of convexity and concave contradictions in the treatment of data leads to a mutually conjugate treatment of data. In this regard, statistics and artificial intelligence play separate and complementary roles.
{"title":"World on Data Perspective","authors":"M. K. Nasution","doi":"10.3390/world3030041","DOIUrl":"https://doi.org/10.3390/world3030041","url":null,"abstract":"It is not simple to consider the world from only one side, but analyzing all sides can cloud comprehension without reaching deep insight found at the core. In a word as a whole, there is potential for telling the whole world in one word, i.e., data, leading to interpretations as phenomena and paradigms at the core of this review. The tug of war between the two sides explains that data represent the world, or vice versa, and present a fundamental view that systems or subsystems frame the world, even though they are encoded and composed of culture, rules, or approaches such as the threshold of democracy. When the COVID-19 pandemic posed a threat, human efforts contributed to finding potentially answers to questions presented by the world: what, who, where, when, why, and how (5 wh); a calling in the form of a challenge, where facts show something. All these questions resulted in research, education, and service activities, with their respective data frameworks producing results. This paper aims to reveal the meaning of the outcomes through an observation from an outside perspective. Therefore, like COVID-19 and its vaccines, the assertion of convexity and concave contradictions in the treatment of data leads to a mutually conjugate treatment of data. In this regard, statistics and artificial intelligence play separate and complementary roles.","PeriodicalId":49307,"journal":{"name":"Microlithography World","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84888296","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Agriculture is a vital sector in Morocco through its contribution to the gross domestic product (13%) and workforce (30%). However, the sector faces important sustainability challenges due to Morocco’s dependence on rain-fed crops for 90% of the production and its vulnerability to climate change. In this context, organic agriculture presents itself as a promising alternative to valorize production and mitigate climate change effects. This article describes the dynamics and development of the organic agriculture niche in Morocco through the lens of the Multi-Level Perspective (MLP) on socio-technical transitions. The MLP is a widely used framework that bases its analysis on transitions being the result of the interaction of niches, socio-technical regimes, and socio-technical landscape. Results of the literature review and semi-structured interviews show that, although the organic niche is relatively well established (11,000 ha of organic land area in 2019), it is still developing at a slower rate than expected due to multiple setbacks. While organic farming does solve many sustainability challenges that Moroccan agriculture faces, it still lacks the infrastructure and human capital to succeed as a niche. All in all, organic farming is still in the first transition stages and can follow a multitude of pathways before becoming relevant in the current agri-food system.
{"title":"Pathways of Transition to Organic Agriculture in Morocco","authors":"Hamza El Ghmari, R. Harbouze, Hamid El Bilali","doi":"10.3390/world3030040","DOIUrl":"https://doi.org/10.3390/world3030040","url":null,"abstract":"Agriculture is a vital sector in Morocco through its contribution to the gross domestic product (13%) and workforce (30%). However, the sector faces important sustainability challenges due to Morocco’s dependence on rain-fed crops for 90% of the production and its vulnerability to climate change. In this context, organic agriculture presents itself as a promising alternative to valorize production and mitigate climate change effects. This article describes the dynamics and development of the organic agriculture niche in Morocco through the lens of the Multi-Level Perspective (MLP) on socio-technical transitions. The MLP is a widely used framework that bases its analysis on transitions being the result of the interaction of niches, socio-technical regimes, and socio-technical landscape. Results of the literature review and semi-structured interviews show that, although the organic niche is relatively well established (11,000 ha of organic land area in 2019), it is still developing at a slower rate than expected due to multiple setbacks. While organic farming does solve many sustainability challenges that Moroccan agriculture faces, it still lacks the infrastructure and human capital to succeed as a niche. All in all, organic farming is still in the first transition stages and can follow a multitude of pathways before becoming relevant in the current agri-food system.","PeriodicalId":49307,"journal":{"name":"Microlithography World","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76628766","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Today, life cycle assessment (LCA) is the most widely used approach to model and calculate the environmental impacts of products and processes. The results of LCAs are often said to be deterministic, even though the real-life applications are uncertain and vague. The uncertainty, which may be simply ignored, is one of the key factors influencing the reliability of LCA outcomes. Numerous sources of uncertainty in LCA are classified in various ways, such as parameter and model uncertainty, choices, spatial variability, temporal variability, variability between sources and objects, etc. Through a scoping review, the present study aims to identify and assess the frequency with which LCA studies reflect the uncertainty and what are the tools to cope with the uncertainty to map the knowledge gaps in the field to reveal the challenges and opportunities to have a robust LCA model. It is also investigated which database, methodology, software, etc., have been used in the life cycle assessment process. The results indicate that the most significant sources of uncertainty were in the model and process parameters, data variability, and the use of different methodologies and databases. The probabilistic approach or stochastic modeling, using numerical methods such as Monte Carlo simulation, was the dominating tool to cope with the uncertainty. There were four dominant LCA methodologies: CML, ReCiPe, IMPACT 2002+, and TRACI. The most commonly used LCA software and databases were SimaPro® and Ecoinvent®, respectively.
{"title":"Life Cycle Assessment under Uncertainty: A Scoping Review","authors":"Zahir Barahmand, Marianne S. Eikeland","doi":"10.3390/world3030039","DOIUrl":"https://doi.org/10.3390/world3030039","url":null,"abstract":"Today, life cycle assessment (LCA) is the most widely used approach to model and calculate the environmental impacts of products and processes. The results of LCAs are often said to be deterministic, even though the real-life applications are uncertain and vague. The uncertainty, which may be simply ignored, is one of the key factors influencing the reliability of LCA outcomes. Numerous sources of uncertainty in LCA are classified in various ways, such as parameter and model uncertainty, choices, spatial variability, temporal variability, variability between sources and objects, etc. Through a scoping review, the present study aims to identify and assess the frequency with which LCA studies reflect the uncertainty and what are the tools to cope with the uncertainty to map the knowledge gaps in the field to reveal the challenges and opportunities to have a robust LCA model. It is also investigated which database, methodology, software, etc., have been used in the life cycle assessment process. The results indicate that the most significant sources of uncertainty were in the model and process parameters, data variability, and the use of different methodologies and databases. The probabilistic approach or stochastic modeling, using numerical methods such as Monte Carlo simulation, was the dominating tool to cope with the uncertainty. There were four dominant LCA methodologies: CML, ReCiPe, IMPACT 2002+, and TRACI. The most commonly used LCA software and databases were SimaPro® and Ecoinvent®, respectively.","PeriodicalId":49307,"journal":{"name":"Microlithography World","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79716726","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Liyan Tang, S. Sohail, Emma Shorthouse, Larissa Sullivan, M. Williams
Australia’s construction industry throughout the last two decades has seen an increase in the number of women pursuing careers. The percentage it has increased by between 1998 and 2020 is a disappointing 0.2% despite the research, strategies, and initiatives the Australian Government has implemented during the interval. The purpose of this study is to evaluate and support the legislative notion of required gender percentages on tendering documents and how this change could increase the number of women in public projects. A systematic literature review of scholarly sources from the database Scopus was applied to develop a thematic analysis of women in the industry. The results found four themes: underrepresentation, barriers to career, education pathways, and opportunities for employment. These themes reinforced the need to introduce legislation such as gender requirements for public projects. Connections made were that gender legislation would increase the number of job opportunities, more jobs would encourage all levels of education to promote women in construction, more women in construction would improve their underrepresentation, and thus make women-centric problems in the workforce a more common issue and more likely to improve. The paper concludes that to see an increase in the number of women in Australia’s construction industry, the government must take enforceable legislative change. This change must start by creating legislation that requires organisations that want to tender with the government to have a minimum percentage of women in any proposed public works submission before it can be awarded.
{"title":"Put Gender on the Tender in Australian Public Projects","authors":"Liyan Tang, S. Sohail, Emma Shorthouse, Larissa Sullivan, M. Williams","doi":"10.3390/world3030038","DOIUrl":"https://doi.org/10.3390/world3030038","url":null,"abstract":"Australia’s construction industry throughout the last two decades has seen an increase in the number of women pursuing careers. The percentage it has increased by between 1998 and 2020 is a disappointing 0.2% despite the research, strategies, and initiatives the Australian Government has implemented during the interval. The purpose of this study is to evaluate and support the legislative notion of required gender percentages on tendering documents and how this change could increase the number of women in public projects. A systematic literature review of scholarly sources from the database Scopus was applied to develop a thematic analysis of women in the industry. The results found four themes: underrepresentation, barriers to career, education pathways, and opportunities for employment. These themes reinforced the need to introduce legislation such as gender requirements for public projects. Connections made were that gender legislation would increase the number of job opportunities, more jobs would encourage all levels of education to promote women in construction, more women in construction would improve their underrepresentation, and thus make women-centric problems in the workforce a more common issue and more likely to improve. The paper concludes that to see an increase in the number of women in Australia’s construction industry, the government must take enforceable legislative change. This change must start by creating legislation that requires organisations that want to tender with the government to have a minimum percentage of women in any proposed public works submission before it can be awarded.","PeriodicalId":49307,"journal":{"name":"Microlithography World","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77404635","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The recent outbreak of coronavirus disease (COVID-19) is the worst global crisis, having a considerable influence on the economy of individual states and whole regions. The present paper focuses on the evaluation of macroeconomic indicators influencing the economic development of selected EU countries due to the pandemic situation. The evaluation focuses on the Visegrad group countries through the TOPSIS method, providing a way to find out the best and the worst economic situation of the evaluated countries. Based on the results of the selected indicators in the countries, we found the trend of the economic development in the analyzed period, characterized by development disparities. According to the analyzed data, we constructed the order of the economic development in the countries. The results serve for the prediction of the economic development in the EU due to the pandemic situation from the perspective of the GDP and employment trend, as well as for the creation of future monetary and fiscal policies in the states. The results could also serve for possible scenarios of future pandemic impacts on the economies.
{"title":"Influence of COVID-19 Pandemic on the Economy of Chosen EU Countries","authors":"H. Pavolová, Katarína Čulková, Z. Šimková","doi":"10.3390/world3030037","DOIUrl":"https://doi.org/10.3390/world3030037","url":null,"abstract":"The recent outbreak of coronavirus disease (COVID-19) is the worst global crisis, having a considerable influence on the economy of individual states and whole regions. The present paper focuses on the evaluation of macroeconomic indicators influencing the economic development of selected EU countries due to the pandemic situation. The evaluation focuses on the Visegrad group countries through the TOPSIS method, providing a way to find out the best and the worst economic situation of the evaluated countries. Based on the results of the selected indicators in the countries, we found the trend of the economic development in the analyzed period, characterized by development disparities. According to the analyzed data, we constructed the order of the economic development in the countries. The results serve for the prediction of the economic development in the EU due to the pandemic situation from the perspective of the GDP and employment trend, as well as for the creation of future monetary and fiscal policies in the states. The results could also serve for possible scenarios of future pandemic impacts on the economies.","PeriodicalId":49307,"journal":{"name":"Microlithography World","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77656411","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
D. S. Shija, O. Mwai, P. K. Migwi, D. Komwihangilo, B. Bebe
In smallholder dairy-cattle farming, identifying positive deviants that attain outstanding performance can inform targeted improvements in typical, comparable farms under similar environmental stresses. Mostly, positive deviants are identified subjectively, introducing bias and limiting generalisation. The aim of the study was to objectively identify positive deviant farms using the Pareto-optimality ranking technique in a sample of smallholder dairy farms under contrasting stressful environments in Tanzania to test the hypothesis that positive deviant farms that simultaneously outperform typical farms in multiple performance indicators also outperform in yield gap, productivity and livelihood benefits. The selection criteria set five performance indicators: energy balance, disease-incidence density, daily milk yield, age at first calving and calving interval. Findings proved the hypothesis. A few farms (27: 3.4%) emerged as positive deviants, outperforming typical farms in yield gap, productivity and livelihood benefits. The estimated yield gap in typical farms was 76.88% under low-stress environments and 48.04% under high-stress environments. On average, total cash income, gross margins and total benefits in dairy farming were higher in positive deviants than in typical farms in both low- and high-stress environments. These results show that the Pareto-optimality ranking technique applied in a large population objectively identified a few positive deviant farms that attained higher productivity and livelihood benefits in both low- and high-stress environments. However, positive deviants invested more in inputs. With positive deviant farms objectively identified, it is possible to characterise management practices that they deploy differently from typical farms and learn lessons to inform the uptake of best practices and extension messages to be directed to improving dairy management.
{"title":"Identifying Positive Deviant Farms Using Pareto-Optimality Ranking Technique to Assess Productivity and Livelihood Benefits in Smallholder Dairy Farming under Contrasting Stressful Environments in Tanzania","authors":"D. S. Shija, O. Mwai, P. K. Migwi, D. Komwihangilo, B. Bebe","doi":"10.3390/world3030035","DOIUrl":"https://doi.org/10.3390/world3030035","url":null,"abstract":"In smallholder dairy-cattle farming, identifying positive deviants that attain outstanding performance can inform targeted improvements in typical, comparable farms under similar environmental stresses. Mostly, positive deviants are identified subjectively, introducing bias and limiting generalisation. The aim of the study was to objectively identify positive deviant farms using the Pareto-optimality ranking technique in a sample of smallholder dairy farms under contrasting stressful environments in Tanzania to test the hypothesis that positive deviant farms that simultaneously outperform typical farms in multiple performance indicators also outperform in yield gap, productivity and livelihood benefits. The selection criteria set five performance indicators: energy balance, disease-incidence density, daily milk yield, age at first calving and calving interval. Findings proved the hypothesis. A few farms (27: 3.4%) emerged as positive deviants, outperforming typical farms in yield gap, productivity and livelihood benefits. The estimated yield gap in typical farms was 76.88% under low-stress environments and 48.04% under high-stress environments. On average, total cash income, gross margins and total benefits in dairy farming were higher in positive deviants than in typical farms in both low- and high-stress environments. These results show that the Pareto-optimality ranking technique applied in a large population objectively identified a few positive deviant farms that attained higher productivity and livelihood benefits in both low- and high-stress environments. However, positive deviants invested more in inputs. With positive deviant farms objectively identified, it is possible to characterise management practices that they deploy differently from typical farms and learn lessons to inform the uptake of best practices and extension messages to be directed to improving dairy management.","PeriodicalId":49307,"journal":{"name":"Microlithography World","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88129627","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
K. Andriushchenko, A. Liezina, Oksana Kuchai, Helena Petukhova
Corporate training is currently more flexible and acts as an accelerator in the field of training. The object of the current research is the system of education in corporate universities. The purpose of the work is to analyze the possibilities and experience of evaluating the effectiveness of training at a corporate university in order to identify tools that can be used to evaluate various performance indicators and to determine which of them can be transferred to other educational organizations. Possible shortcomings of the implementation of corporate training in the format of a corporate university as a separate legal entity are shown. To achieve this goal, we have identified suitable tools for evaluating the effectiveness of corporate training and evaluating its applicability in practice. As a result, the authors determined that the assessment of the effectiveness of corporate training in terms of indicators of the 1st and 2nd levels of the Kirkpatrick methodology can be easily carried out using various tools. Corporate universities usually use the necessary surveys during and after training for this purpose. The authors proposed to apply various methods of post-program support using appropriate educational technologies and mandatory assessment of participants sometime after training.
{"title":"Corporate University as a Business Accelerator in the Field of Education","authors":"K. Andriushchenko, A. Liezina, Oksana Kuchai, Helena Petukhova","doi":"10.3390/world3030036","DOIUrl":"https://doi.org/10.3390/world3030036","url":null,"abstract":"Corporate training is currently more flexible and acts as an accelerator in the field of training. The object of the current research is the system of education in corporate universities. The purpose of the work is to analyze the possibilities and experience of evaluating the effectiveness of training at a corporate university in order to identify tools that can be used to evaluate various performance indicators and to determine which of them can be transferred to other educational organizations. Possible shortcomings of the implementation of corporate training in the format of a corporate university as a separate legal entity are shown. To achieve this goal, we have identified suitable tools for evaluating the effectiveness of corporate training and evaluating its applicability in practice. As a result, the authors determined that the assessment of the effectiveness of corporate training in terms of indicators of the 1st and 2nd levels of the Kirkpatrick methodology can be easily carried out using various tools. Corporate universities usually use the necessary surveys during and after training for this purpose. The authors proposed to apply various methods of post-program support using appropriate educational technologies and mandatory assessment of participants sometime after training.","PeriodicalId":49307,"journal":{"name":"Microlithography World","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77262880","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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