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Farmland marginalization in the mountainous areas: Characteristics, influencing factors and policy implications 被引量:26
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作者 SHAO Jing'an ZHANG Shichao LI Xiubin 《Journal of Geographical Sciences》 SCIE CSCD 2015年第6期701-722,共22页
Based on SPOT-5 images, 1:1 million topographic maps, the maps of the returning farmland to forest project and the Chongqing forest project, social and economic statistics, etc., this paper identifies the features an... Based on SPOT-5 images, 1:1 million topographic maps, the maps of the returning farmland to forest project and the Chongqing forest project, social and economic statistics, etc., this paper identifies the features and factors influencing farmland marginalization. The results showed: (1) During 2002-2012, the rate of farmland marginalization was 16.18%, which was mainly found in the high areas of northern Qiyao mountains and the medium-altitude areas of southern Qiyao mountains. And this farmland marginalization will increase, associated with non-agriculturalization of rural labourers and aging of the remaining labourers. (2) Elevation, distance radius from villages and road connections had a great in- fluence on farmland marginalization. Farmland marginalization rates showed an increasing trend with the increase of elevation, and 60.88% of the total farmland marginalization area is found at an altitude greater than 1000 m above sea level. The marginalization trend also increases with slope and distance from the distribution network. (3) Farmland area per labourer and the average age of farm labourers were major factors driving farmland marginalization. Farmland transfer and small agricultural machinery sets affect farmland marginalization with respect to management and productivity efficiency. (4) Farmland with "comparative-disadvantage-dominated marginalization" accounted for 55.32% of the total farmland marginalization area, followed by "location-dominated marginalization" (33.80%). (5) According to the specifics of each real situation, different policies are suggested to mitigate the margin- alization. A "continuous marginalization" policy will encourage the return of farmland to forest in "terrain-dominated marginalization". An "anti-marginalization" policy is suggested to create new rural accommodation and improve the rural road system to counteract "terrain-dominated marginalization". And another "anti-marginalization" policy is planned to improve management and micro-mechanization for "comparative-disadvantage-dominated marginalization". A new idea was developed to integrate high resolution remote sensing and statistical data with survey information to identify land marginalization and its driving forces in mountainous areas. 展开更多
关键词 farmland marginalization FEATURES influencing factors policy implications mountainous area
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Global Burden of Disease, Injury and Risk Factor Study 2010: Its Policy Implications for China 被引量:3
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作者 YU Shi Cheng TAN Feng +3 位作者 ZHOU Mai Geng LIU Shi Wei ZHU Xiao Jun ZHU Yu Ling 《Biomedical and Environmental Sciences》 SCIE CAS CSCD 2014年第1期45-48,共4页
Results of the Global Burden of Disease, Injury and Risk Factor Study 2010 (GBD 2010) were released on December 13, 2012 in London, a series of papers concerning the project have been published in the Lancet[1]. Res... Results of the Global Burden of Disease, Injury and Risk Factor Study 2010 (GBD 2010) were released on December 13, 2012 in London, a series of papers concerning the project have been published in the Lancet[1]. Research findings of the project have been reported in the United States, the United Kingdom, Indonesia, China[2] and Australia, and widely applied across the world. In addition, the GBD 2010 will see more countries report their project research findings and implement these findings in the near future. The GBD 2010 provides researchers, administrators and policymakers with new and critical sources for their research, teaching and policymaking. 展开更多
关键词 2010 Global Burden of Disease Its policy implications for China
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Forecasting of China's natural gas production and its policy implications 被引量:8
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作者 Shi-Qun Li Bao-Sheng Zhang Xu Tang 《Petroleum Science》 SCIE CAS CSCD 2016年第3期592-603,共12页
With the vigorous promotion of energy conservation and implementation of clean energy strategies,China's natural gas industry has entered a rapid development phase,and natural gas is playing an increasingly important... With the vigorous promotion of energy conservation and implementation of clean energy strategies,China's natural gas industry has entered a rapid development phase,and natural gas is playing an increasingly important role in China's energy structure.This paper uses a Generalized Weng model to forecast Chinese regional natural gas production,where accuracy and reasonableness compared with other predictions are enhanced by taking remaining estimated recoverable resources as a criterion.The forecast shows that China's natural gas production will maintain a rapid growth with peak gas of 323 billion cubic meters a year coming in 2036;in 2020,natural gas production will surpass that of oil to become a more important source of energy.Natural gas will play an important role in optimizing China's energy consumption structure and will be a strategic replacement of oil.This will require that exploration and development of conventional natural gas is highly valued and its industrial development to be reasonably planned.As well,full use should be made of domestic and international markets.Initiative should also be taken in the exploration and development of unconventional and deepwater gas,which shall form a complement to the development of China's conventional natural gas industry. 展开更多
关键词 Natural gas Production forecast Generalized Weng model Energy structure policy implication
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Role of Breastfeeding in Promoting Maternal &Child Health and Policy Implications in New Zealand
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作者 Adhikari Ramil 《Health》 CAS 2016年第1期75-82,共8页
Worldwide researches over infant’s health have generally focused and aimed on understanding the complex factors (both positive and negative) affecting the infant’s health which further had ultimately helped them to ... Worldwide researches over infant’s health have generally focused and aimed on understanding the complex factors (both positive and negative) affecting the infant’s health which further had ultimately helped them to frame policies nationally as well as internationally. Out of these factors, breastfeeding is one of the vital concerns for research related to infant mortality and morbidity. The World Health Organization recommends that infants should be exclusively breastfed until first six months and receive nutritionally adequate and safe complementary foods thereafter while breastfeeding continues for up to two years of age or beyond. In New Zealand (NZ), only 12% of 6 months old children were exclusively breastfed in 2006. The Ministry of Health plays a leading role for the protection, promotion and supporting breastfeeding in NZ. There are a number of areas/implications that NZ need to focus at such as providing antenatal and postpartum education, training of health professionals, community and workplace support, policy frameworks, breast-feeding statistics and intersectoral approach. These measures mainly focus at the initiation but less has been done to continue and support breastfeeding in NZ. In order to achieve this, all of these areas should be given prime and equal consideration. Hence, there is a strong need to develop strategies that maintain and promote breastfeeding at 6 months or beyond in NZ taking into considerations of various barriers and enabling factors. 展开更多
关键词 BREASTFEEDING BENEFITS Barriers policy implications
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Unveiling Global Human Trafficking Trends: A Comprehensive Analysis
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作者 Somtobe Olisah Clement Odooh +5 位作者 Oghenekome Efijemue Echezona Obunadike Jane Onwuchekwa Omoshola Owolabi Saheed Akintayo Callistus Obunadike 《Journal of Data Analysis and Information Processing》 2024年第1期49-75,共27页
This paper presents a comprehensive analysis of global human trafficking trends over a twenty-year period, leveraging a robust dataset from the Counter Trafficking Data Collaborative (CTDC). The study unfolds in a sys... This paper presents a comprehensive analysis of global human trafficking trends over a twenty-year period, leveraging a robust dataset from the Counter Trafficking Data Collaborative (CTDC). The study unfolds in a systematic manner, beginning with a detailed data collection phase, where ethical and legal standards for data usage and privacy are strictly observed. Following collection, the data undergoes a rigorous preprocessing stage, involving cleaning, integration, transformation, and normalization to ensure accuracy and consistency for analysis. The analytical phase employs time-series analysis to delineate historical trends and utilizes predictive modeling to forecast future trajectories of human trafficking using the advanced analytical capabilities of Power BI. A comparative analysis across regions—Africa, the Americas, Asia, and Europe—is conducted to identify and visualize the distribution of human trafficking, dissecting the data by victim demographics, types of exploitation, and duration of victimization. The findings of this study not only offer a descriptive and predictive outlook on trafficking patterns but also provide insights into the regional nuances that influence these trends. The article underscores the prevalence and persistence of human trafficking, identifies factors contributing to its evolution, and discusses the implications for policy and law enforcement. By integrating a methodological approach with quantitative analysis, this research contributes to the strategic planning and resource allocation for combating human trafficking. It highlights the necessity for continued research and international cooperation to effectively address and mitigate this global issue. The implications of this research are significant, offering actionable insights for policymakers, law enforcement, and advocates in the ongoing battle against human trafficking. 展开更多
关键词 Human Trafficking Global Trends Data Analysis Victim Demographics policy implications Technological Advancements Socioeconomic Factors Forecasting Regional Disparities Transnational Crime
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Comparison of the Development Model of DTP Pharmacy between China and the United States and Its Enlightenment
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作者 Li Yanli Huang Zhe 《Asian Journal of Social Pharmacy》 2024年第2期168-177,共10页
Objective To systematically analyze the development status of DTP pharmacy in the United States and China,and to find out the problems in China’s DTP pharmacy and put forward some countermeasures and suggestions.Meth... Objective To systematically analyze the development status of DTP pharmacy in the United States and China,and to find out the problems in China’s DTP pharmacy and put forward some countermeasures and suggestions.Methods Relevant literature was searched and reviewed to study the history,market scale and development trend of DTP pharmacy in the United States and China.Then,the problems in China’s DTP pharmacy were found out.Results and Conclusion DTP pharmacy model in the U.S.has taken shape and is maturing.The high degree of industry concentration is an important feature of the U.S.pharmacy.In contrast,China’s DTP pharmacy started late,and the industry pattern has not yet been finalized.There are still some problems in the DTP pharmacy certification and quality management.It is recommended to promote the rapid development of DTP pharmacies in China by encouraging the outflow of prescription drugs,establishing a third-party pharmacy accreditation organization and strengthening the team of licensed pharmacists and other personnel. 展开更多
关键词 DTP pharmacy specialty pharmacy development model policy implication
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Comparison of the Development of CDMO at Home and Abroad and Its Enlightment to China
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作者 Zhao Meng Huang Zhe 《Asian Journal of Social Pharmacy》 2024年第3期244-250,共7页
Objective To analyze the development status of contract development manufacturing organization(CDMO)at home and abroad,and to make some suggestions for the development of CDMO in China.Methods The relevant literature ... Objective To analyze the development status of contract development manufacturing organization(CDMO)at home and abroad,and to make some suggestions for the development of CDMO in China.Methods The relevant literature was searched and reviewed,and the development status of CDMOs in the United States,France,Japan and China was compared from the aspects of market scale,development process,development focus,advantages and disadvantages,and policy support.Then,some suggestions for the development of CDMO enterprises in China were summarized.Results and Conclusion Through the comparison of CDMO development at home and abroad,it can be seen that China started CDMO late,there were many technical barriers and its globalization layout were not sufficient.However,the development trend was good and it focused on the field of chemical drugs and biological drugs to constantly develop innovative drugs.China needs to continuously improve its own technical capabilities to carry out innovative research.Therefore,cost reduction and efficiency increase will be the key elements for the development of CDMOs,and they are expected to have a rapid and comprehensive development in the future. 展开更多
关键词 CDMO current situation of enterprise development domestic and international comparison policy implications
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Effect of Sample Unit Size on Visually Examining Pavement Condition for Asphalt-Surfaced Roads
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作者 Bishnu Prasad Devkota 《Journal of Civil Engineering and Architecture》 2017年第7期701-714,共14页
Road surface condition evaluation involves the collection of data over pavement surface for different types of distresses.The exercise consumes a lot of resources if the whole road section length is surveyed and may b... Road surface condition evaluation involves the collection of data over pavement surface for different types of distresses.The exercise consumes a lot of resources if the whole road section length is surveyed and may be prone to errors as a result of surveyors'fatigue.It is therefore important to develop a representative sample to be used when evaluating road condition manually.This study aimed at determining an adequate sample size for section level as well as a way forward for network level condition evaluation of highways in Nepal.Again the study was conducted to quantify the effects of altering the sample unit size for performing a distress survey according to the PCI(pavement condition index)and SDI(surface distress index)method separately for asphalt surfaced roads.The effect of reducing/increasing sample unit size was investigated adopting visual examination through field survey by eight teams in July,2015,along the section of Banepa-Bardibas highway.The PCI was then calculated for each sample unit using standard deduct curves and PCI calculation methodology as per SHRP(Strategic Highway Research Program)recommendations and the computation of SDI was done as per DoR(Department of Roads)guidelines.The results show that 13%sample unit are needed for SDI and 21%for PCI computation,however,the results are out of the significant level.This is higher than DoR and SHRP guidelines.Again no strong relationship is observed between SDI and PCI values. 展开更多
关键词 Pavement condition evaluation PCI SDI sample size policy implications.
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Social Causes of Arab Youth Radicalizing
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作者 Diab M. Al-Badayneh Rami A. Al-Assasfeh Nisreen A. Al-Bhri 《Journalism and Mass Communication》 2016年第12期743-756,共14页
The purpose of this study was to examine the impact of macro social factors (states, religion, region, Arab spring, terrorism, unrest (Shoe index), democracy, corruption (GPI), Human development (HDI), low self... The purpose of this study was to examine the impact of macro social factors (states, religion, region, Arab spring, terrorism, unrest (Shoe index), democracy, corruption (GPI), Human development (HDI), low self-control, life stress events (LSE), youth unemployment, religiosity, feeling (fear and anger), youth unemployment and total unemployment) on Arab youth's radicalization. A sample of 6,730 Arab youth age 15-24 years was selected from Kuwait, UAE, KSA, Oman, Qatar, Bahrain, Jordan, Tunisia, Libya, Morocco, Lebanon, Egypt, Gaza and Palestine and Syrian refuges in Jordan. A questionnaire of 43 items to measure radicalization was developed based on the literature review. A construct validity of the scale was estimated by calculating the correlation between radicalization scale and Low self-control scale and found a positive significant relationship (0.680, a = 0.000), a sign of validity of the scale. A Reliability of the scale is strong and was estimated by Cronbach's alpha and was 0.947. An average of 46.6% of the participants was categorized as radicals with standard deviation of 12. Macro social factors explained 64% of the variance on radicalization. It has a significant impact on radicalization (F = 807.6, a = 0.000). Each single variable has a significant impact. The analysis revealed three groups of macro determinants of youth radicalization were identified: (1) Geographic factors: state, region, and Arab spring; (2) Social factors: religion, religiously, feelings, LSE and LSC; (3) Human security: unrest, terrorism, democracy, corruption, human development, youth unemployment and employment rate. To alleviate the consequences of radicalization, prevention policies should take in account youth concerns as partners and victims of radicalization. Policies need to focus on radicalization pull and push factors on micro-meso-macro level. 展开更多
关键词 RADICALIZATION Arab youth policy implications
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Synergistic strategies for pollution and carbon emission reduction in China's wastewater treatment:A comprehensive tiered assessment and benchmarking framework
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作者 Xiaoshu Hou Yuchen Deng +4 位作者 Lu Qin Xin Xie Yilan Sun Gang Yan Miao Li 《Eco-Environment & Health》 2025年第2期63-71,共9页
China's dual-carbon goals challenges wastewater treatment plants(WWTPs),requiring integrated pollution control and carbon emission reduction.Critical gaps hinder China's strategies for WWTPs,particularly in id... China's dual-carbon goals challenges wastewater treatment plants(WWTPs),requiring integrated pollution control and carbon emission reduction.Critical gaps hinder China's strategies for WWTPs,particularly in identifying upgrade needs,optimizing performance,and assessing the local benchmark plants as references.This study addresses these gaps through greenhouse gas(GHG)emission accounting and impact factor analysis,using monthly data from 2232 WWTPs across China.A tiered assessment methodology was developed to evaluate the synergy between pollution reduction and carbon mitigation,including indicators,methodologies,and assessment criteria.Results indicate that indirect emissions from electricity and chemical consumption accounted for 59.9%of total GHG emissions.Key factors influencing these indirect emissions included plant scale,treatment processes,geographic area,operational load,electricity consumption,and influent quality.Through the tiered assessment,WWTPs were classified into three categories:priority control(861 plants),general control(730 plants),and maintenance(641 plants).Furthermore,222 benchmark plants were identified as exhibiting optimal synergy between pollution control and carbon reduction.For 80%of the benchmark plants,the ranges for carbon emission intensity,influent COD,influent C/N ratio,electricity consumption intensity,and operating load were 0.258–0.482 kg CO2e/t,175–338 mg/L,6.13–10.9,0.149–0.260 kWh per tonne of influent,and 88.0%–110%,respectively.Achieving these benchmark standards across all WWTPs could lead to a 30%reduction in total GHG emissions.Finally,the study proposes targeted policies to enhance the synergy between pollution control and carbon reduction strategies in China's urban wastewater treatment systems. 展开更多
关键词 WWTPs Synergy reduction Tiered assessment Benchmark plants policy implications
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Prioritizing Indicators for Rapid Response in Global Health Security:A Bayesian Network Approach
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作者 Abroon Qazi Mecit Can Emre Simsekler M.K.S.Al‑Mhdawi 《International Journal of Disaster Risk Science》 SCIE CSCD 2024年第4期536-551,共16页
This study explored a Bayesian belief networks(BBNs)approach,developing two distinct models for prioritizing the seven indicators related to the“rapid response to and mitigation of the spread of an epidemic”category... This study explored a Bayesian belief networks(BBNs)approach,developing two distinct models for prioritizing the seven indicators related to the“rapid response to and mitigation of the spread of an epidemic”category within the context of both the specifc category and the Global Health Security Index(GHS index).Utilizing data from the 2021 GHS index,the methodology involves rigorous preprocessing,the application of the augmented naive Bayes algorithm for structural learning,and k-fold cross-validation.Key fndings show unique perspectives in both BBN models.In the mutual value of information analysis,“linking public health and security authorities”emerged as the key predictor for the“rapid response to and mitigation of the spread of an epidemic”category,while“emergency preparedness and response planning”assumed precedence for the GHS index.Sensitivity analysis highlighted the critical role of“emergency preparedness and response planning”and“linking public health and security authorities”in extreme performance states,with“access to communications infrastructure”and“trade and travel restrictions”exhibiting varied signifcance.The BBN models exhibit high predictive accuracy,achieving 83.3%and 82.3%accuracy for extreme states in“rapid response to and mitigation of the spread of an epidemic”and the GHS index,respectively.This study contributes to the literature on GHS by modeling the dependencies among various indicators of the rapid response dimension of the GHS index and highlighting their relative importance based on the mutual value of information and sensitivity analyses. 展开更多
关键词 Bayesian belief networks Global health security INDICATORS MITIGATION policy implications Rapid response
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The Role of Artificial Intelligence in Enhancing Trade Facilitation through Single Window Systems
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作者 Changkui LI 《Journal of AI-Driven Trade Facilitation Engineering and Single Window Systems》 2024年第1期1-20,共20页
This paper explores the role of Artificial Intelligence(AI)in enhancing trade facilitation through its integration with Single Window Systems(SWS).It investigates how AI tech-nologies such as machine learning,natural ... This paper explores the role of Artificial Intelligence(AI)in enhancing trade facilitation through its integration with Single Window Systems(SWS).It investigates how AI tech-nologies such as machine learning,natural language processing,and predictive analytics can improve the efficiency and effectiveness of trade processes.Case studies of Singapore and Australia are analyzed to highlight successful AI applications and key lessons learned.The study discusses the benefits,including increased efficiency,reduced costs,enhanced accuracy,and improved user experience,alongside the challenges posed by technical com-plexities,legal and ethical considerations,and resistance to change.The paper also pro-vides policy implications and recommendations for governments,international organiza-tions,and private sector stakeholders.Future research directions emphasize emerging AI technologies like AI-driven blockchain and advanced NLP,and their potential long-term impacts on global trade dynamics. 展开更多
关键词 Artifcial Intelligence Single Window Systems Trade Facilitation Machine Learn-ing Natural Language Processing Blockchain Trade Eficiency policy implications Case Stud-ies
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