Medicine and public health in the People's Republic of China. Edited by Joseph R. Quinn, Ph.D. 9 × 6 in. Pp. 305 + xii. Illustrated. 1972. United States Department of Health, Education and Welfare. No price glven

1973 ◽  
Vol 60 (5) ◽  
pp. 419-419
Keyword(s):  
Public Health ◽  
United States ◽  
Health Education ◽  
People’S Republic Of China ◽  
United States Department ◽  
People's Republic Of China ◽  
States Department ◽  
Republic Of China ◽  
Department Of Health

scholarly journals NT DINTE 26 - China: Importação dos Principais Subsetores do Agronegócio e o Market-Share Brasileiro

2021 ◽  
pp. 1-25
Author(s):  
Scarlett Queen Almeida Bispo
Keyword(s):  
United States ◽  
International Trade ◽  
United Nations ◽  
Market Share ◽  
People’S Republic Of China ◽  
United States Department ◽  
People's Republic Of China ◽  
Department Of Agriculture ◽  
States Department ◽  
Republic Of China

Esta Nota Técnica visa investigar a posição do market share brasileiro ante a dos seus principais concorrentes nas importações da China dos subsetores mais relevantes do agronegócio, visto que produtos agropecuários passaram a ter expressão na relação comercial sino-brasileira. O estudo tem como base o Banco de Dados das Estatísticas do Comércio Internacional das Nações Unidas (United Nations International Trade Statistics Database – Comtrade), a Administração Geral das Alfândegas da República Popular da China (General Administration of Customs People’s Republic of China – GACC), o Departamento de Agricultura dos Estados Unidos (United States Department of Agriculture – USDA) e o Mapa (Agrostat – Estatísticas de Comércio Exterior do Agronegócio Brasileiro). Trata-se de uma análise de dados com abordagem quantitativa, que descreve o market share dos principais países que compõem as importações advindas da China. Para isso, utilizaram-se como recorte dez subsetores do agronegócio selecionados a partir da coleta de dados secundários referentes às importações chinesas e às exportações brasileiras para a China, elencando-os com o apoio do critério de maior valor. Desse modo, foram selecionados os seguintes subsetores: soja em grãos, celulose, açúcar de cana ou beterraba, carne bovina, carne de frango, couros e peles de bovinos ou equídeos, óleo de soja, algodão e produtos têxteis de algodão, fumo não manufaturado e desperdícios de fumo e carne suína.

scholarly journals Interpersonal influence among public health leaders in the United States Department of Health and Human Services

2012 ◽  
Vol 1 (1) ◽  
pp. 12 ◽  
Author(s):  
Jenine K. Harris ◽  
Bobbi J. Carothers ◽  
Lana M. Wald ◽  
Sarah C. Shelton ◽  
Scott J. Leischow
Keyword(s):  
Public Health ◽  
United States ◽  
Tobacco Control ◽  
Human Services ◽  
The United States ◽  
United States Department ◽  
Interpersonal Influence ◽  
States Department ◽  
Health And Human Services ◽  
Department Of Health

<em>Background</em>. In public health, interpersonal influence has been identified as an important factor in the spread of health information, and in understanding and changing health behaviors. However, little is known about influence in public health leadership. Influence is important in leadership settings, where public health professionals contribute to national policy and practice agendas. Drawing on social theory and recent advances in statistical network modeling, we examined influence in a network of tobacco control leaders at the United States Department of Health and Human Services (DHHS). <em>Design and Methods.</em> Fifty-four tobacco control leaders across all 11 agencies in the DHHS were identified; 49 (91%) responded to a web-based survey. Participants were asked about communication with other tobacco control leaders, who influenced their work, and general job characteristics. Exponential random graph modeling was used to develop a network model of influence accounting for characteristics of individuals, their relationships, and global network structures. <em>Results</em>. Higher job ranks, more experience in tobacco control, and more time devoted to tobacco control each week increased the likelihood of influence nomination, as did more frequent communication between network members. Being in the same agency and working the same number of hours per week were positively associated with mutual influence nominations. Controlling for these characteristics, the network also exhibited patterns associated with influential clusters of network members. <em>Conclusions</em>. Findings from this unique study provide a perspective on influence within a government agency that both helps to understand decision-making and also can serve to inform organizational efforts that allow for more effective structuring of leadership.

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