Efficiently managing green information and communication technologies, high-technology exports, and research and development expenditures: A case study

Aldakhil, Abdullah Mohammed; Zaheer, Adyia; Younas, Sobia; Nassani, Abdelmohsen A.; Abro, Muhammad Moinuddin Qazi; Zaman, Khalid

doi:10.1016/j.jclepro.2019.118164

Cited by 52 publications

(21 citation statements)

References 80 publications

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“…The MM estimator is used for addressing potential outliers in the given models. The previous studies mainly used this technique to get robust inferences, including Ozturk [ 18 ], Naz et al [ 19 ], Rasli et al [ 20 ], Zaman [ 21 ], and Aldakhil et al [ 22 ]. Furthermore, the study used a causality test performed by the Wald test to evaluate the cause-effect relationship between the variables.…”

Section: Methodsmentioning

confidence: 99%

Identifying the Potential Causes, Consequences, and Prevention of Communicable Diseases (Including COVID-19)

Anser

Islam

Khan

et al. 2020

BioMed Research International

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Communicable and noncommunicable diseases cause millions of deaths every year, increased billions of healthcare expenditures, and consequently increase trillions of economic losses at a global scale. This study more focused on the prevalence of communicable diseases, including COVID-19 that is an emerging pandemic, which affects the global economy. The objective of the study is to examine the impact of population density, lack of sanitation facilities, chemical concentration, fossil fuel combustions, poverty incidence, and healthcare expenditures on communicable diseases including COVID-19. The study covered a large panel of heterogenous countries to assess the relationships between the stated factors by using the robust least square regression, Granger causality test, and innovation accounting matrix. The study used a time series data from 2010 to 2019 for assessing the determinants of communicable diseases, while it is further extended with the current data of 2019-2020 for the COVID-19 pandemic. The results of the study show that high population density, lack of primary handwashing facilities, chemicals used in manufacturing value-added fossil fuel combustion, and poverty headcount substantially increase communicable diseases. In contrast, population diffusion, low carbon concentration in air, renewable fuels, and healthcare expenditures decrease infectious diseases in a panel of 78 countries. The causal inferences found the bidirectional relationship between communicable diseases and primary handwashing facility, and carbon emissions and poverty headcount, whereas the unidirectional relationship is running from lack of sanitation to infectious diseases, economic growth to carbon emissions, and communicable diseases to fossil fuel combustion across countries. Communicable diseases increase healthcare expenditures and decrease the country’s economic growth which is a vital concern of the global economy to confront the outbreak of novel coronavirus through increasing the healthcare budget in national bills and stabilize financial activities at a worldwide scale.

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Section: Methodsmentioning

confidence: 99%

Identifying the Potential Causes, Consequences, and Prevention of Communicable Diseases (Including COVID-19)

Anser

Islam

Khan

et al. 2020

BioMed Research International

Self Cite

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“…For examples, agricultural irrigation practices could greatly influence greenhouse gas emissions, and greenhouse gas emissions could be lowered by reduced or water-efficient irrigation [ 34 ]. In turn, it is possible that the use of agricultural machinery can significantly increase the carbon emissions of a region [ 35 ]. Carbon emissions will also be affected by the inputs of fertilizers, pesticides, agricultural films, agricultural diesel and other elements in the agricultural production process.…”

Section: Literature Reviewmentioning

confidence: 99%

The Impact of Planting Industry Structural Changes on Carbon Emissions in the Three Northeast Provinces of China

Guo

Xie

Pan

2021

IJERPH

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This paper focuses on the impact of changes in planting industry structure on carbon emissions. Based on the statistical data of the planting industry in three provinces in Northeast China from 1999 to 2018, the study calculated the carbon emissions, carbon absorptions and net carbon sinks of the planting industry by using crop parameter estimation and carbon emissions inventory estimation methods. In addition, the multiple linear regression model and panel data model were used to analyze and test the carbon emissions and net carbon sinks of the planting industry. The results show that: (1). The increase of the planting area of rice, corn, and peanuts in the three northeastern provinces of China will promote carbon emissions, while the increase of the planting area of wheat, sorghum, soybeans, and vegetables will reduce carbon emissions; (2). Fertilizer application, technological progress, and planting structure factors have a significant positive effect on net carbon sinks, among which the changes in the planting industry structure have the greatest impact on net carbon sinks. Based on the comprehensive analysis, it is suggested that, under the guidance of the government, resource endowment and location advantages should be given full play to, and the internal planting structure of crops should be reasonably adjusted so as to promote the development of low-carbon agriculture and accelerate the development process of agricultural modernization.

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“…Meanwhile, those who go through illegal means to establish development, promote corruption. However, those who are scared to fight Africa corruption, are then discouraged from establishing technological development (Aldakhil et al 2019;Markov and Velezev 2021).…”

Section: The Impact Of Corruption On Innovationmentioning

confidence: 99%

“…That is, universities with stronger and efficient R&D would increase their technological products. Because stronger and efficient R&D could create more IT experts that are capable of developing high-technology which in turn could be highly needed by many companies around the globe (Aldakhil et al 2019).…”

Section: The Impact Of University Expenditure On Innovation High Tech Export and Information Tech Exportmentioning

confidence: 99%

The impact of corruption and university education on African innovation: evidence from emerging African economies

et al. 2021

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Extant research has argued that university education plays an important role in engendering national level innovation. University education helps to increase innovation that in turn generates capital resources for the economy. This in turn supports R&D institutes and universities to generate and implement new creative ideas. This study, therefore, employed a panel data analysis for 19 African countries from 2011 to 2017 to investigate the role of university education in promoting African innovation. Sample data provided by UNESCO and The Global Economy were collected. The results indicated that university enrollment, graduates and expenditure are not major predictors of innovation and hi-tech export. But University graduate and expenditure have a negative impact on information technology export, whereas corruption extend the positive effect of university education (university enrolment, graduates, and expenditure) on innovation, hi-tech export, and information technology export. We recommend that standard operating procedures should be designed and implemented to ensure procedural foundations and awareness against elements of professional misconducts in education. Policymakers shall provide transparent criteria to ensure transparency in allocation of the university expenditures and promote anti-corruption education.

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Efficiently managing green information and communication technologies, high-technology exports, and research and development expenditures: A case study

Cited by 52 publications

References 80 publications

Identifying the Potential Causes, Consequences, and Prevention of Communicable Diseases (Including COVID-19)

Identifying the Potential Causes, Consequences, and Prevention of Communicable Diseases (Including COVID-19)

The Impact of Planting Industry Structural Changes on Carbon Emissions in the Three Northeast Provinces of China

The impact of corruption and university education on African innovation: evidence from emerging African economies

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