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http://dx.doi.org/10.1016/S0140-6736(15)01273-8 | DOI Listing |
Sci Rep
January 2025
School of Economics and Management, Nanchang University, Nanchang, 330031, China.
The growth in carbon emissions poses a severe challenge to global sustainable development, making it imperative to explore the impacts of economic restructuring and technological progress on Carbon Emission Performance (CEP). However, existing studies often lack an integrated analysis of economic restructuring and technological progress, while giving limited attention to the indirect role of Environmental Regulation (ER). This study constructs a multidimensional theoretical framework, breaking down economic restructuring into four dimensions-industrial structure, factor input, ownership, and new-type urbanization (NTU), and refining technological progress into technological innovation and energy efficiency.
View Article and Find Full Text PDFFood Res Int
January 2025
Department of Animal and Public Health, School of Veterinary Medicine, Universidad Nacional Mayor de San Marcos, Av. Circunvalacion 2800, San Borja 15021, Lima 41, Peru; Tropical and Highlands Veterinary Research Institute, Universidad Nacional Mayor de San Marcos, Jr. 28 de Julio s/n, Jauja, 12150, Peru; Global Health Center, Universidad Peruana Cayetano Heredia, Av. Honorio Delgado 430, San Martín de Porres 15102, Lima 41, Peru. Electronic address:
Campylobacter is a major cause of foodborne gastroenteritis worldwide, with the mishandling of contaminated chicken meat among the main pathways for human infection. Granted the disease burden due to this pathogen, systematic assessments of its potential impact are necessary. The aims of this study were to evaluate both presence and load of Campylobacter in chicken meat sold in traditional markets, assess risk factors related with the infrastructure and hygienic conditions of market stalls, and evaluate control strategies for campylobacteriosis in Peru through a quantitative microbiological risk assessment (QMRA), a data-driven, systematic approach to quantitatively assess risks by integrating empirical contamination levels, microbial behavior, and consumer exposure.
View Article and Find Full Text PDFSoc Sci Med
December 2024
Curtin enAble Institute, Faculty of Health Sciences, Curtin University, Perth, WA, Australia; Mental Health, Alcohol, Substance Use and Tobacco Research Unit, South African Medical Research Council, Francie van Zyl Drive, Tygerberg, Cape Town, South Africa; Division of Addiction Psychiatry, Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa. Electronic address:
Task-shared psychological interventions are effective for reducing the severity of depression symptoms, but differences in treatment outcome by socioeconomic status is uncertain. This study examines socioeconomic inequalities (SEI) in depression outcomes among people with HIV and/or diabetes who participated in a cluster randomised controlled trial in the Western Cape Province of South Africa. The trial took place at 24 primary care clinics randomised to deliver a task-shared psychological intervention or treatment as usual (TAU).
View Article and Find Full Text PDFPhys Life Rev
December 2024
Department of Statistics and Data Science, School of Economics, Wang Yanan Institute for Studies in Economics, Fujian Key Lab of Statistics, Xiamen University, China. Electronic address:
J Environ Manage
January 2025
Department of Accounting and Finance, Nottingham Trent University, Nottingham, UK. Electronic address:
In the context of global sustainability goals, it is imperative to examine the interplay between emerging financial technologies and environmental objectives, which in turn offers insights into the implications of such technologies on sustainable investments and environmental policy decisions. Accordingly, this study investigates the influence of Bitcoin's energy consumption (BEC), as a representative of the cryptocurrency market, on the regional green economy indices of the United States, Europe, and Asia. Utilizing both unfiltered and filtered data, we conduct empirical analyses from both static and dynamic perspectives to account for the causal relationships that emerged during critical market developments, employing novel algorithms including forward recursive, rolling windows, and recursive rolling.
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