Performance measurement: Does education impact productivity?

Larbi-Apau, Josephine A.; Sarpong, Daniel Bruce

doi:10.1002/piq.20069

Cited by 5 publications

(3 citation statements)

References 12 publications

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“…However, labor productivity in this sector is relatively low due to the low capital intensity. The results of this study support the findings of Larbi-Apau & Sarpong (2010), which express that educated labors have a higher extent to receive innovation and elective generation blend for rising effectiveness and efficiency. Higher educational levels have an impact on labor productivity in the poultry industry and ought to be saddled for improved performance in the domestic and global markets.…”

Section: Labor Productivity Spilloverssupporting

confidence: 88%

Do Wage Spillovers Lead to Labor Productivity Spillovers?

Susanto

Udjianto

2020

Signifikan

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This research wants to analyze wage spillovers in Yogyakarta and Central Java, and whether these spillovers induce labor productivity spillovers. This study uses data published by the Central Bureau of Statistics (BPS) and includes wage rate, regency/city minimum wage, capital intensity, education level, growth, and labor productivity. The spatial regression is using in this study. The results show that there is a wage spillover across regencies/municipalities in Yogyakarta and Central Java. The wage rate is not only influenced by the variables in the area but is also by the wage rates in the surrounding area. However, these wage spillovers do not encourage labor productivity spillovers. The labor productivity in a regency/city depends on the availability of physical capital in this area. An expansion in labor productivity in a zone does not affect the increment in labor productivity in the encompassing zone. The physical capital not easily moved between regencies/cities.JEL Classification: J24, J3, J61, How to Cite:Susanto, J., & Udjianto, D. W. (2020). Do Wage Spillovers Lead to Labor Productivity Spillovers? Signifikan: Jurnal Ilmu Ekonomi, Vol. 9(1), 51-68. doi: http://dx.doi.org/10.15408/sjie.v9i1.12903.

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Section: Labor Productivity Spilloverssupporting

confidence: 88%

Do Wage Spillovers Lead to Labor Productivity Spillovers?

Susanto

Udjianto

2020

Signifikan

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“…A influência do nível de escolaridade é relatada por vários autores que revelam que o acesso à educação escolar é um indicador relevante, pois está relacionado com a possibilidade de desenvolvimento próspero da propriedade com a qualificação dos agricultores, principalmente o de suas proles. Observa-se, tanto no Brasil como em outros países, que à medida que aumenta a escolaridade e a experiência na produção, maior a chance da adoção de tecnologias e inovações agropecuárias no meio rural assim como observado neste trabalho (Vicente, 2002, Feder, Murgai, Quizon, 2004Abdulai e Huffman, 2005, Abdulai, Monnin, Geber, 2008, Ashraf, Giné, Karlan, 2009, Carletto et al, 2010, Larbi-Apau, Sarpong, 2010, Medina, Camargo, Silvestre, 2018, Vespucci, Nunes, Guimarães, 2019.…”

Section: Resultsunclassified

Difusão da utilização de revestimento biodegradável a agricultores familiares no Estado de Goiás, Brasil

Vespucci

Nunes

Campos

et al. 2020

RSD

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O ato de avaliar a difusão de uma inovação é extremamente importante e certamente ultrapassa o advento da inovação. Assim sendo, o objetivo do presente trabalho foi avaliar a difusão da utilização de revestimento biodegradável a agricultores familiares no Estado de Goiás, Brasil. Realizou-se pesquisa de viés qualitativo por meio de questionários em 20 propriedades rurais do município de Jaraguá - GO, em duas etapas: etapa 1 em janeiro de 2019; etapa 2 em julho de 2019. Os dados foram submetidos à análise multivariada, por meio de análise de agrupamento, organizados em gráfico tipo dendrograma, utilizando a matriz de distância de Jaccard e a técnica de agrupamento de ligação completa (vizinho mais distante). Nas condições em que o trabalho foi realizado houve baixa aceitação e difusão da utilização do revestimento biodegradável por parte dos agricultores familiares, pelo fato de possuírem baixo grau de escolaridade, não utilizarem tecnologia, bem como irrigação ou maquinário, ademais suas propriedades são distantes (> 10km) dos centros urbanos.

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“…For example, in Ghana, west of Africa, many problems were faced by the HEIs, such as organizational inability to provide online learning and using online learning technologies. In addition, most of the HEIs cannot synchronize and link student databases with e-learning programs (Larbi-Apau et al , 2020). Similarly, in Tanzania, the east of Africa, lack of adequate infrastructure and inadequate technical and managerial support were the significant barriers in adopting the online learning system in HEIs (Kisanga and Ireson, 2015).…”

Section: Introductionmentioning

confidence: 99%

Barriers and facilitators to adoption of e-learning in higher education institutions of Pakistan during COVID-19: perspectives from an emerging economy

Qazi

Sharif

Akhlaq

2022

JSTPM

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Purpose Integrating e-learning into higher education institutions (HEIs) is a complex process. Several universities had tried to impart learning online, especially amid the spread of COVID-19. However, they failed miserably due to the many barriers to online learning platforms’ delivery and acceptance. This study aims to explore the barriers and facilitators in adopting e-learning in HEIs of Pakistan by taking the perspective of key stakeholders involved in the management and administration of HEIs. Design/methodology/approach The authors recruited participants using purposive and snowball sampling. Interviews were conducted from a variety of participants, including academicians, administrators and information technology (IT) personnel. Data recorded was transcribed into verbatim and then analyzed using thematic analysis. Findings The analysis identified barriers and facilitators to the e-learning implementation. Barriers included lack of resources and training, lack of infrastructure, inadequate e-learning policies, absence of positive mindset among teachers and students and reservations and concerns about e-learning of parents and teachers. By contrast, facilitators included prior training and awareness (provided by HEIs regarding e-learning), the assistance of government and regulatory bodies (in terms of policy and training on e-learning), the role of IT (in development and implementation of online learning system) and good computer knowledge and skills of students and faculty. Moreover, respondents believed that teaching subjects online requires the availability of proper and complete gadgets, but these were hardly available due to high demand. Finally, the academicians and administrators believed that e-learning is indispensable in health emergencies such as COVID-19 and similar events ahead. Originality/value For the HEIs to sustain and grow, the adoption of e-learning is fundamental. Therefore, the government should provide the essential infrastructure for the HEIs to deploy e-learning modules, train faculty and ensure the availability of necessary equipment (e.g. network) and gadgets to faculty and students. From a theoretical perspective, the study provides a framework for similar future studies in other emerging markets, whereas practical implications of the study can assist the governments and HEIs of emerging markets in implementing the e-learning modes of education in times of health emergencies, such as COVID-19.

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Performance measurement: Does education impact productivity?

Cited by 5 publications

References 12 publications

Do Wage Spillovers Lead to Labor Productivity Spillovers?

Do Wage Spillovers Lead to Labor Productivity Spillovers?

Difusão da utilização de revestimento biodegradável a agricultores familiares no Estado de Goiás, Brasil

Barriers and facilitators to adoption of e-learning in higher education institutions of Pakistan during COVID-19: perspectives from an emerging economy

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