zilongwang/ReadingBank huggingface dataset:
General framework: The project is financed by the Transition Fund for US$ 4.9 million and by the Moroccan Government for US$ 1 million in kind contribution. The total estimated project cost is US$ 1 million. The project will be executed in a period of four years. Risk Analysis: Inherent risk Risk Rating Mitigation of risk Risk rating after mitigation Country level The Moroccan public finance system is governed by a complex legal and regulatory framework that offers guarantees of high reliability and transparency. Morocco’s compliance with rules and regulations and existing accountability arrangements provide an adequate framework for the use of public funds and public financial management (PFM) is considered broadly transparent. Low Project level The Ministry of Economy and Finance has long experience with the World Bank at the county and project levels. The PIU will be based at the Ministry. Its Staff are fully qualified but will not be assigned full-time to the Project as they have other tasks within the Ministry. Moderate A Project Management Unit will have a dedicated consultant for Financial Management and Procurement that will work closely with the Director of the PMU. Capacity building of financial management staff of the project. Close monitoring by the World Bank financial management team A Project implementation manual acceptable to the World Bank to ensure that project activities are covered in their entirety and that the risk level is mitigated. Low Inherent risk before mitigation Substantial Inherent risk after mitigation Moderate Control Risks Risks Rating Mitigation of risk Rating after mitigation of risk Budget Low
EVENTS BOOKING FORM 2017 – MASTERCLASSES - CYCLE 3, CUSTOMER ENGAGEMENT Initial Pages 1-2, full signatures needed on pages 3 and 4. Completing the fields in section A, C, D, E, F, is mandatory. Complete and sign the form and send it back to and PERSONAL DETAILS Surname Forenames (in full) Previous Surname / Maiden Name Country of residence Cell phone number ID Number / Passport nr. Title (e.g. Mr, Ms, Mrs, Miss) Email Address - Primary Email Address - Secondary Residential Address Code Postal Address Code Are you a member of MA(SA)? (tick the relevant box)? Yes No Have you obtained a Designation through MA(SA)? (tick the relevant box)? Yes No If you are Designated, which Designation did you obtain (tick the relevant box)? CM(SA) – Chartered Marketer South Africa MP(SA) – Marketing Practitioner South Africa MC(SA) – Marketing Coordinator South Africa Membership and Designation Details – only to be completed by MA(SA) members MA(SA) Membership Number MA(SA) Designation Number
My organization has its own license My organization is operating under the ESMV Statewide license Please answer the following questions: It is critical to the quality of the program that all persons trained to be Leaders are present for the entire training. Are you able to attend the full training? (all day for all 4 days) Yes No - Explain:______________________________________________________________________ Attending the training does not guarantee that you will be authorized to lead workshops. Your trainers will support your learning by evaluating your skills according to quality standards. Only successful candidates will be authorized to lead workshops. Do you understand that attending all training days does not guarantee that you will be authorized to lead workshops? Yes No – Explain :_____________________________________________________________________ Leaders need to possess specific qualities and be willing to commit to the requirements in the Leader Requirements and Qualifications handout. Do you feel comfortable with the needed requirements and qualifications? Yes No – Explain: _____________________________________________________________________ The workshops require you to speak in front of groups and write on a white board or flip chart. Are you comfortable performing these activities? Yes: No - Explain:______________________________________________________________________
Evidence of a variety of experiences working successfully independently and in a group and team situations Evidence of experience working successfully independently and with others Limited evidence of experience working successfully independently and with others Comments 4. Academic Goals: Potential as an Educator 4 3 2 1 Thoughtful description of the desire to pursue a master’s degree Description of desire to pursue a master’s degree Limited description Insufficient or unsatisfactory evidence Area(s) of interest are explicitly identified and connected to stated academic and professional goals Area(s) of interest are explicitly identified but not directly connected to stated academic or professional goals Areas of interest not addressed or goals not addressed Evidence shows consistency in taking advantage of learning opportunities; thereby reflecting a pattern of life-long learning Evidence indicates applicant has participated in activities/opportunities for personal/professional growth and learning Little/limited evidence of participation Evidence demonstrates sustained reflective and reflexive thinking Evidence demonstrates the applicant values reflective thinking Limited evidence of reflection Comments Overall Comments: Reviewer: Date:________ NOTE: Students must score a 3 or 4 on EACH criteria in order to be admitted to the master’s program.
MA Programme Non-Standard Entry (NSE) Form Under certain specific circumstances, it may be possible for applicants who do not have the normal requirements for admission to be registered on the basis of prior experiential learning using the non-standard entry (NSE) route. All NSE claims are assessed on a case-by-case basis. For instance, an applicant who does not have a first degree, or any formal theological education, may demonstrate that their record of employment (paid or unpaid), professional training and other academic work are cumulatively equivalent to the minimum requirements for admission. Please complete the following form. Continue on a second sheet if necessary. Write a brief description of your previous ministry experience. Describe how you have reflected on this experience in order to learn about and develop practice, in particular the books and courses that have helped this process. Please choose one of the following three questions and write a mini-essay response in 500 words. In your answer, ensure you a show critical awareness of your own perspective and that you argue various sides of the debate before reaching your conclusion. Please choose one question from the following list: “What are the evangelistic priorities in the western Church today?” “Should churches have intergenerational Sunday services?” “Is mission more about what we do for God, or what God does through us?”
We will only report on your answers to the Equalities Monitoring form in an anonymised manner. Legal Bases for processing the information This table sets out why we are required to process your personal data, and why this is permitted under law. This is so that you are fully aware of what we do with your data as an organisation. SDS and these other organisations that may receive the information from us may use the information for one or more of the following purposes - SDS is entitled to process the information as the intended processing, under the Data Protection Act and the General Data Protection Regulation, is - i To monitor our compliance with the conditions of funding related to the MA Programme and to ensure that we are properly spending and are accountable for those monies Fair and lawful because it is: necessary for SDS to comply with its legal obligations necessary for reasons of the public interest necessary for reasons of substantial public interest ii To generally help you find and retain suitable employment Fair lawful because it is: necessary for SDS to comply with its legal obligations necessary for reasons of the public interest ii To monitor, audit and evaluate the quality of your individual training and the MA Programme generally. (Evaluating may include requesting you to complete any questionnaire issued by or on behalf of SDS and/or Scottish Ministers) Fair and lawful because it is: necessary for SDS to comply with its legal obligations necessary for reasons of the public interest iii To monitor your training provider’s compliance and performance including validating their claims for payment Fair and lawful because it is: necessary for SDS to comply with its legal obligations necessary for reasons of the public interest iv To provide information to you about working life, fair work practices and the services and benefits you can access from SDS and other public sector or government bodies in Scotland and/or the UK Fair and lawful because the intended processing is:- necessary for reasons of the public interest necessary to fulfil SDS’s or any of the other bodies’ legitimate interests, where the
Such evidence may be demonstrated by e.g. customer assessment, or by customer approved second party assessment that the laboratory meets the intent of ISO/IEC 17025 or national equivalent. NOTE 2: Where a qualified laboratory is not available for a given piece of equipment, calibration services may be performed by the equipment manufacturer. In such cases, the organization should ensure that the requirements listed in 7.6.4.1 have been met.
Are the auditors independent of the area audited? Are audit questions comprehensive? Are they focused on the performance of the process meeting planned objectives? Is the objective evidence recorded for each question? There should be objective evidence for both conformance and Do the questions and the evidence indicate that the audit is checking whether the QMS is effectively implemented and maintained? Are there non-conformances identified in the audit reports? Are the non-conformances well written, that is, are requirement cited (is it correct); is there objective evidence, and the nature of the non-conformance?
References Arthur, W. B.. 1994. Increasing Returns and Path Dependence in the Economy. Ann Arbor: The University of Michigan Press. Boas, C. W.. 1961. “Locational Patterns of American Automobile Assembly Plants, Economic Geography, 37(3):218-230 Boschma, R. A.. 1996. “The window of locational opportunity-concept” PhD Diss. University of Twente Boschma, R. A., K. Frenken and J. G. Lambooy. 2002. Evolutionaire economie: Een inleiding. Bussum± Coutinho. Boschma, R. A. and R. Wenting. 2007. “Spatial evolution of the British automobile industry: Does location matter?” Industrial and Corporate Change : 1-26 Boschma, R. A. and J. G. Lambooy. 1999. “Evolutionary economics and economic geography.” Evolutionary Economics, 9: 411-429
Drukker. David M. Testing for serial correlation in linear panel-data models. The Stata journal.(2003) 3. Number 2. pp. 168-177 Fischer. Carolyn, Newell. G. Richard. Environmental and technology policies for climate mitigation. Journal of Environmental Economics and Management 55 (2008) 142–162 Freeman, C. 1987. Technology Policy and Economic Performance: Lessons from Japan, London, Frances Pinter Heal. Geoffrey. The economics of renewable energy. NBER (National Bureau of economic research) working paper 15081 (2009) Hoel, Michael. Bush Meets Hotelling: Effects of Improved Renewable Energy Technology on Greenhouse Gas Emissions (January 28, 2009). CESifo Working Paper Series No. 2492; FEEM Working Paper No. 1.2009. Hoogwijk, M., 2004. On the global and regional potential of renewable energy sources. Utrecht University /http://www.library.uu.nl/digiarchief/dip/diss/2004-0309-123617/full.pdf Houghton J.T. et. al. Climate Change 2001: The Scientific Basis. Cambridge Univ. Press, Cambridge 2001 Hotelling. Harold. The Economics of Exhaustible Resources. The journal of political economy. Vol. 39. No. 2 April 1931 137-75. International Energy Agency (IEA), Renewables Information, IEA, Paris, 2003. Jacobsson. Staffan. & Johnson. Anna. The diffusion of renewable energy technology: an analytical framework and key issues for research. Energy Policy 28 (2000) 625-640 Jaffe. B. Adam & Stavins. G. Richard. Dynamic Incentives of Environmental Regulations: The Effects of Alternative Policy Instruments on Technology Diffusion, Journal of Environmental Economics & Management 29 (1995) 43-63.
Prasad. Monica. On carbon, tax and don’t spend. The new York times. March 25. 2008. RREEFF Research September 2009. (12-06-2011) U.S Energy Information Administration. (18-05-2011) World databank.
Legislator Name DC Phone Official Webpage Scheduler Name/Email/Key Committee Assignments Senator Elizabeth Warren (D, MA) (202) 224-4543 Emily Ross (emily_ross@warren.senate.gov) -Senate Health, Education, Labor and Pensions Committee Senator Edward J. Markey (D, MA) (202) 224-2742 Sarah Butler (sarah_butler@markey.senate.gov) -No key committees for mentoring Representative Richard E. Neal (D, MA -01) 202-225-5601 Tim Ranstrom (tim.ranstrom@mail.house.gov) -Ways and Means Committee Representative James McGovern (D, MA -02) 202-225-6101 Daniel Holt (daniel.holt@mail.house.gov) -No key committees for mentoring Representative Niki Tsongas (D, MA -03) 202-225-3411 Robert Schneider (robert.schneider@mail.house.gov) -No key committees for mentoring Representative Joseph P. Kennedy III (D, MA -04) 202-225-5931 Mariah Philips (mariah.philips@mail.house.gov) -No key committees for mentoring Representative Katherine Clark (D, MA -05) 202-225-2836 Mark McKinnon (mark.mckinnon@mail.house.gov) -House Education & the Workforce Committee -House Appropriations Committee Representative Seth Moulton (D, MA -06) 202-225-8020 Brendan O’Bryan (brendan.o’bryan@mail.house.gov) -House Budget Committee Representative Michael E. Capuano (D, MA 202-225-5111 Steve Carlson (steven.carlson@mail.house.gov) -No key committees for mentoring Representative Stephen F. Lynch (D, MA -08) 202-225-8273 Greta Hebert Gordon (greta.gordon@mail.house.gov) -No key committees for mentoring Representative William Keating (D, MA -09) 202-225-3111 David Oleksak (david.oleksak@mail.house.gov) -No key committees for mentoring
Activity Code D: Individual Care Planning, Monitoring, Coordination & Referral Y Gathering information in advance of making referrals for Medicaid covered services. Y Making referrals or arranging Medicaid covered medical services. Y Coordinating or monitoring the delivery of Medicaid covered medical services. Y Monitoring and evaluating the Medicaid service components of the IEP. Y Providing information on the child’s medical health service plan to other staff and parents. Y Coordinating the follow up care on the medical services requested. Y Related paperwork, clerical activities or staff travel required to perform these activities. Y Written and oral methods may be used. Example: When you contact a family about the medical referral, screening or evaluation process.
Activity Code F: Family Planning Referral Y Identifying and referring adolescents who may be in need of family planning services. Y Administrative activities that act to delay or prevent the onset of pregnancy. Y Coordinating family planning activities in the school setting. Y Include related paperwork, clerical activities or staff travel required to perform these activities. Y Written and oral methods may be used. Example: Referring an adolescent to an outside agency for the purpose of delaying or preventing the onset of pregnancy.
Fringe benefit options: Y Actual quarterly benefits paid to each time study participant OR Y Multiply the actual quarterly salary for each time study participant by the fringe benefit percentage calculated for each benefit category. Sample: Fringe Benefit Calculation Benefit Description Annual Budgeted District Wide Fringe Benefit Expenditures Annual Budgeted District Wide Salaries Fringe Benefit Percentage Unemployment Compensation $13,658.00 $13,985,476.00 0.0977% Health, Dental, Life, and Disability Insurance $1,281,652.00 $13,985,476.00 9.16% Medicare Contributions $156,987.00 $13,985,476.00 1.12% Workers Compensation/ Injury Payments $62,851.00 $13,985,476.00 0.45% Pension Contributions $124,611.00 $13,985,476.00 0.89% Other $0.00 $13,985,476.00 0.00%
Quarterly Claim Certification Quarterly Claim Calculation Summary Quarterly Claim Calculation Quarterly Specialized Transportation Calculation Capital Calculation Fringe Benefit Calculation Detailed Expenditure Report State-wide Summary Worksheet for Out of District Schools Time Study Summarization Claims are submitted to: Univ. of Mass. Medical School Municipal Medicaid Program 100 Century Drive Worcester, MA 01606
May 16, 2005 – Testing Y Pilot provider group Y Universal outreach to provider network June 23, 2005 – Production Y New customer web portal (mass.gov/masshealth) Y NEHEN July 1, 2005 – Contract live Y 835 and 997 retrieval
low-cost involved over the whole sample period or the existence of low-cost carriers are too short to be taken into account. For these routes, it is hardly to indicate the entry impact on pricing and passenger traffic. After skipping this kind of routes, 49 city-pairs are left. Then, two line graphs representing the change of price and passengers after the low-cost airlines entering the route are performed. First, according to the Appendix 1, 22 out of 49 routes prove that when the low-cost airlines enter a particular market, the price on such route declines and keep the low level. Moreover, among 22 city-pairs, routes with long-distance capture the deeper impact than those short-distance routes do. In other words, the air fares on the long-distance routes decline more than those on the short routes. The graph (Appendix 1) shows the movements of the price in the four quarters before and after the entry including all 22 city-pairs. Here, Figure 4.3 only takes the route between New York and Seattle as an example. As seen in the figure, at the entry quarter, the price decreases by 40% of the highest pre-entry price, from 441 to 265 dollars. Then, the price keeps stable in the trend of declining although there is a slight stage back at the second quarter after entry. Nevertheless, this result is less than the outcome got by Windle & Dresner in 1995, almost 50% decrease after entry. Besides, the price decline of the city-pair of New York-Seattle is already the largest among the 22 routes depending on the graph (Appendix 1). Figure 4.3 One-way prices pro and post entry Furthermore, the situation of the passenger traffic is illustrated in Appendix 2. It is unpleasant to see that only 16 routes amongst 49 routes are considerably increasing after the low-cost enter such routes. In addition, there is no clue that the entry of low-cost carriers impacts the passenger traffic depending on the distance. How much that the passenger traffic influenced by the entry is random walk among these 16 routes. However, 14 of 16 routes are the routes those also sufficiently affected by the entry in the one-way price figure. It seems that the entry of low-cost airlines has simultaneous effect on both price and passenger traffic. Taking Ft. Lauderdale-New York route as an instance, Figure
Table 1: Definition, sources and summary statistics of explained and explanatory variables Rotterdam Amsterdam Variable Definition Source Mean Standard deviation Source Mean Standard deviation Start-ups per year per capita Yearly number of newly founded businesses per capita in the neighbourhood. RIC 0.0042262 0.004534 O+S 0.0093 0.0055 Businesses density (km2) Total number of businesses in the neighbourhood on January 1 divided by land surface area. RIC 3.541709 3.043118 O+S 11.3872 10.6946 Population density (km2) Neighbourhood population on January 1 divided by land surface area. CBS 8689.7 5443.9 CBS 11371.0 7054.8 Average addresses per km2 For every addresses the density of addresses within a 1 km radius is calculated. Then for all addresses within the neighbourhood the average is taken. CBS 3815.2 1920.5 CBS 6040.0 3296.4 Income Average disposable household income. RIC 28833.9 8111.0 N/A - - Population age Share of neighbourhood population in age bracket 25-45 on January 1. CBS 33.0 7.7 CBS 36.9 8.5 Immigrants Immigrants on January 1 as percentage of total neighbourhood population. CBS CBS Total western 10.9 3.6 15.6 6.1 Total non-western 34.6 20.6 28.7 18.7
Table 3: Correlation matrix of all used variables ln(Bus. dens) ln(Pop. dens) ln(M. addr./km2) ln(Dist. station) ln(Dist. road ln(Pop. ln(M. housing val.) ln(Share imm.) ln(Share west. imm.) Amsterdam ln(Start-ups per capita) 1 ln(Businesses density (km2)) 0.6907 1 ln(Population density (km2)) 0.1458 0.7232 1 ln(Mean addresses per km2) 0.5035 0.8716 0.7559 1 ln(Distance to train station) -0.313 -0.4279 -0.2597 -0.4952 1 ln(Distance to main road 0.1353 0.3424 0.2742 0.2355 -0.0986 1 ln(Population between 25-45) 0.5545 0.6897 0.5223 0.6386 -0.3863 0.1235 1 ln(Mean housing value) 0.6229 0.335 -0.1621 0.1183 -0.1176 0.0555 0.1009 1 ln(Share non-western immigrants) -0.236 -0.0365 0.3598 0.1592 -0.0534 0.0356 0.0784 -0.583 1 ln(Share western immigrants) 0.7238 0.7172 0.1966 0.581 -0.3952 0.1732 0.5413 0.632 -0.4332 1 Amsterdam 0.5646 0.4485 0.1728 0.3122 -0.0246 -0.0731 0.223 0.4357 -0.1109 0.4175 1
On the 21st of November 2013, Spark published an official press release about the use of inner-city parking spaces (Spark, 2013). Spark is a Dutch consultancy firm specialised in the field of parking. This press release states that between 2008 and 2012, the use of inner-city parking spaces decreased with 10%. This finding is based on data about 19 inner-city parking areas. This press release fully contradicts the general view Dutch municipalities have about the modern day parking situation in Dutch cities. Compared with the CBS consumption index, the average amount of sold parking hours decreased with 10% while the CBS consumption index decreased 3,7% over the same time horizon (figure 1). Spark (2013) claims that this shocking fact is a very important indication for municipalities to be careful with parking facility expansions. Expansion of parking facilities in cities is a very expensive affair and the invested money goes down the drain if the usage of these facilities decrease rapidly. In this case it is wise to focus on optimizing the usage of already existing capacity instead of increasing the parking capacity of inner city regions. With this research, Spark shows the importance of monitoring parking data in inner-city regions. The finding of Spark about the usage of parking facilities in inner city regions is very important for designing municipal parking polices, but the most important insight is still missing. The website of ‘’Verkeersnet’’ published a similar message, but in this article a very important sentence is added. ‘’Verkeersnet’’ mentioned that: ‘’this research doesn’t give an
to revitalize the international goods transportation by rail in the Community, and to lead in a more integrated European railway network where the cross-border services would be facilitated. It was meant to be transposed in the Member States until 15 March 2003 and its particular goals were: the vertical separation of the basic functions of the railway industry, namely the infrastructure provision and the actual railway operations the establishment of an independent railway regulator in each Member State and the reduction of the governmental influence in the sector a reconsideration of the technical barriers between the different railway networks so that the international freight movements would be eased a gradual opening of the European rail freight network to all operators that have been licensed according to the Community's regulations. Within seven years (as of March 2008) from the adoption of the Council Directive, the aforementioned operators should have access to the whole international European railway freight network However, despite the efforts put by the Union, it appeared that this gradual opening that would allow operators from all member states to use the ‘integrated European’ network was not as easy as was initially believed. At the moment there are countries that still lag behind and fail to follow the Union's directives regarding the international freight. (Holvad, 2006) Finally, an additional measure came to complete the 1st package in March 2001. The 2nd railway package was proposed by the union on the 30st of April 2004, and contained legislative proposals that, among others, pointed on: Proposing a common strategy to guarantee a greater degree of rail safety and establishing a European Railway Agency in charge of these issues Enhancing the interoperability principles proposed with previous directives (safety and interoperability)
Variable Obs Mean Std. Dev. Min Max country_id 252 14.5 8.094 1 28 year 252 2007 2.587 2003 2011 mod_sh_pas 252 0.0634 0.034 0.007 0.179 mod_sh_freight 251 0.2199 0.164 0.006 0.725 pass_km 207 14783.2 22770.520 193 93918 tonnes_km 238 15738.53 20834.810 79 115652 vertical_separation 252 0.515873 0.501 0 1 gdpcapita 252 2.45E+04 16667.850 2600 80300 population 252 1.82E+07 22300000 448300 8.25E+07 d_population 252 0.0025733 0.008 -0.02845 0.031359 log_gdpcapita 252 9.844645 0.7739397 7.863267 11.29352 log_pass_km 207 8.497741 1.617849 5.26269 11.45018 log_tonnes_km 238 8.909399 1.445568 4.369448 11.65834 _Iyear_2004 252 0.1111111 0.3148951 0 1 _Iyear_2005 252 0.1111111 0.3148951 0 1 _Iyear_2006 252 0.1111111 0.3148951 0 1 _Iyear_2007 252 0.1111111 0.3148951 0 1 _Iyear_2008 252 0.1111111 0.3148951 0 1 _Iyear_2009 252 0.1111111 0.3148951 0 1 _Iyear_2010 252 0.1111111 0.3148951 0 1 _Iyear_2011 252 0.1111111 0.3148951 0 1
clusters? There are already many studies conducted on this subject and the most important factors of these studies will be discussed below. The contribution of this study to the already existing studies will be on the role of leader firms in innovative regions. Leader firms Leader firms of a region can be described as important employers in the region with a large impact on the economic performance of a region. Often these companies are closely associated with the region or main city of the region. Examples of such firms are; Philips in the Eindhoven region, BASF in the Ludwigshafen region and the ABB group in the Zurich region. These firms attract suppliers to the region and are, to a large share, responsible for the forming of a cluster (He & Fallah, 2011). Innovative firms are often leader firms of a region as they come up with new technologies and products and therefore lead the market. Therefore a way to locate leader firms in regions is to look at patent applications by firms done in the region. Leader firms often have the majority of patent applications done in the region. For some regions this is one firm, for other regions more firms are leader firms in the region while yet other regions don’t have any leader firms at all. One of the important features of leader firms are their substantial R&D budgets (Segerstrom & Zolnierek, 1999; García-Manjón & Romero-Merino, 2012). This can be expected as the development of new products has made them leader in the first place, but R&D expenditure is still high after the development of new products. One of the main reasons according to Segerstrom & Zolnierek (1999) for this high amount of R&D expenditure is that leader firms can more easily improve their products than other firms can as knowledge of the developed product is very high. Another explanation is that some companies are more focused on the development of new technologies and therefore will always have high R&D expenditure. In the book of van Winden et al. (2014) the role of Anton Philips
10. Appendix A: Countries Country (Hosts) Start Date Popular sports USA (Winter 1980, Summer 1984, Summer 1986, Winter 2002) 2-1-1973 -Basketball -Ice Hockey -Football Germany (Only West-Germany before 1992) 1-1-1973 -Football -Ice Hockey -Basketball -Downhill Skiing -Cycling UK (Summer 2012) 1-1-1973 -Football -Cycling Italy (Winter 2006) 1-1-1973 -Football -Volleyball -Basketball -Downhill Skiing -Cycling France (Winter 1992) 1-1-1973 -Football -Athletics -Basketball -Downhill Skiing -Cycling -Swimming China (Summer 2008) 26-7-1993 -Football -Volleyball -Basketball -Swimming -Athletics Sweden 4-1-1982 -Ice Hockey -Football -Athletics Russia (Summer 1980, Winter 2014) 27-1-1998 -Football -Volleyball -Ice Hockey -Athletics -Basketball -Figure Skating Norway (Winter 1994) 2-1-1980 -Ice Hockey -Ski Jumping -Football Hungary 21-6-1991 -Football -Swimming Australia (Summer 2000) 2-1-1973 -Football -Cycling -Basketball Finland 25-3-1988 -Ice Hockey -Football -Ski Jumping -Athletics Japan (Winter 1998) 1-1-1973 -Football -Athletics -Volleyball Canada (Summer 1976, Winter 1988,Winter 2010) 2-1-1973 -Ice Hockey -Basketball -Football Netherlands 1-1-1973 -Football -Cycling -Speed Skating South Korea (Summer 1988) 9-9-1987 -Football -Figure Skating -Basketball -Swimming -Volleyball -Gymnastics
5.1.2 Comparisons between different regions In Section 2.2.3, the uneven geographical distribution of international tourism in China has been identified. In short, three hotspot cities attracted more tourists than the others, and the east regions attracted more tourists than the west. Therefore, it is also meaningful to check if air pollution has produced different effects in different geographical locations. The fully specified model has been applied to the investigation for this s section. Note that the correlation problem of variables is not mitigated yet, which might still defect the confidence of these results. Three hotspots vs. other regions It is clear that three hotspots (Beijing, Shanghai and Guangzhou) received more tourists than others. However it is difficult to formulate a regression with only three cities because of lack of observations (only 24). Instead, a regression excluded these three cities is built with 210 observations. The result of regression is showed in following Table 13, the original result of Model 4 is also showed for comparison. Table 13: Results of in/excluding three hotspot cities Model Variable Model 4 With all observations Model 4 Without hotspots FDI .067037*** (.000) .069611*** (.000) Hotel -.001498 (0.996) -.037387 (.888) ME .026640** (.027) Omitted PP .008021*** (.000) -.006740*** (.000) SD -.000125*** (.005) -.000060 (.171) MP -.001089*** (.001) -.000560 (.441) Source: own elaboration Note: * Significant at 10% level, ** Significant at 5% level, *** Significant at 1% level
High age group Willingness to subsidise others 0.75 0.86 -10.54 1.76 0.77 0.82 -8.66 -2.38 0.64 0.80 -20.75 -0.71 0.72 0.78 -9.47 -2.81 Efficiency attributes Number of potential Individual health benefits 0.89 0.89 0.91 6.01 5.83 7.99 0.92 0.90 0.92 9.02 7.24 8.95 0.88 0.87 0.88 9.08 7.65 9.65 0.86 0.85 0.88 6.92 5.71 9.21 a Based alternative is based on setting all attributes at their mean b Each alternative is identical to the base with the exception of the attribute of interest that is set at one. Percentage differences for aggregate criteria Due to the three categories of the “age of the target group” attribute, calculations were repeated for each group. In this case, only the sub-models according to region were used. Results are presented in Table 10 along with the calculated equity-efficiency trade-offs for each age category. Interventions targeting young age groups: In the regions of Basque Country and Catalonia, fully equitable interventions (as described by the three criteria) are 2.1% more likely to be chosen compared to the baseline value. On the other hand, for a fully efficient intervention this figure increases up to 12%. Concerning the regions of Cantabria and Valencia, the equity aggregate percentage difference in probabilities rises up to 2.7%, while this figure for aggregate efficiency criteria increases only by 0.5% (i.e. 12.5%). Finally in Madrid, for interventions targeting young ages both figures increase, up to 3.6% and 13.7%, respectively. Interventions targeting middle age groups: In this sub-group, results are similar for all three regions. In particular, fully equitable interventions are 1.9% more likely to be chosen (as compared to the baseline case) in Catalonia/Basque country; this figure increases up to 2.3% and 2.7% for the regions of Cantabria/Valencia and
Table 2: Model Specifications (1)-(10) (continued) Location Factors (1) (2) (3) (4) (5) (6) (7) (8) (9) (10) Chinese Population Migrant Stock (Total) (log) 0.27a (0.07) Migrant Stock (Mainland China) (log) 0.27a (0.07) Migrant Stock (Hong Kong + Macau) (log) 0.09a (0.03) Migrant Stock (Mainland China + Hong Kong + Macau) (log) 0.27a (0.06) Migrant Stock (Taiwan) (log) 0.15a (0.05) Size Ethnic Chinese Community in 1955 (log) 0.09b (0.04) Size Ethnic Chinese Community in 1980 (log) 0.08b (0.03) Size Ethnic Chinese Community in 1990 (log) 0.11a (0.04) Size Ethnic Chinese Community in 2000 (log) 0.16a (0.06) Test Statistics Number of Observations 28666 28666 28666 28666 28666 28666 28666 28666 28666 28666 Number of Cases 338 338 338 338 338 338 338 338 338 338 Likelihood Ratio Index (Pseudo R2) 0.1672 0.1743 0.1724 0.1723 0.1742 0.1711 0.1687 0.1689 0.1698 0.1696 AIC 2523.9 2504.4 2510.1 2510.6 2504.7 2514.2 2521.4 2520.6 2518.1 2518.5 BIC 2623.0 2611.9 2617.6 2618.0 2612.2 2621.7 2628.9 2628.0 2625.5 2626.0 Note: Standard errors in parentheses with a, b and c respectively denoting significance at the 1%, 5% and 10% levels.
Table 3: Model Specifications (11)-(21) (continued) Location Factors (11) (12) (13) (14) (15) (16) (17) (18) (19) (20) (21) Origin of the Firm China* China* China* HK* HK* HK* x x x x x Function of the Firm x x x x x x H** L** M** RD** SM** Chinese Population Migrant Stock (Total) (log) 0.32a (0.07) 0.02 (0.13) 0.50a (0.41) 0.01 (0.17) 0.21 (0.23) -0.15 (0.17) 0.37a (0.10) Migrant Stock (Mainland China) (log) 0.33a (0.08) -0.01 (0.15) Migrant Stock (Hong Kong + Macau) (log) 0.11a (0.03) 0.04 (0.06) Test Statistics Number of Observations 23660 23660 23660 4921 4921 4921 4165 1947 2797 2205 16449 Number of Cases 279 279 279 58 58 58 49 23 33 26 194 Likelihood Ratio Index (Pseudo R2) 0.1773 0.1749 0.1746 0.2100 0.2099 0.2110 0.3846 0.0990 0.1035 0.2410 0.2208 AIC 2064.5 2070.4 2071.2 433.0 433.0 432.4 293.9 210.0 288.7 201.2 1368.4 BIC 2169.4 2175.3 2176.1 517.5 517.5 517.0 376.3 282.4 365.9 275.3 1468.6 Note: Standard errors in parentheses with a, b and c respectively denoting significance at the 1%, 5% and 10% levels. * China: Mainland China; HK: Hong Kong ** H: Headquarters; L: Logistics; M: Manufacturing: RD: Research & Development; SM: Sales & Marketing
Underground allowance (Electrical/ Mechanical) 0.23% per day or shift An adult employee who works underground on any shift Additional shift cut employees 0.43% per afternoon shift and 0.85% per night shift (additional to the shiftwork rates) Where an employee is engaged on afternoon shift and/or night shift at open cut workings and who is in receipt of the 15% shift allowance Working clothes and safety boots Reimbursement by the employer each year for one pair of safety boots and two sets of industrial outer clothing; the articles are to be at a standard normally issued by the Company Employees required to provide and wear industrial outer clothing and safety boots This provision does not apply where such footwear and clothing are supplied to the employee at the employer’s expense Damage to clothing and tools (Electrical/ Mechanical) Compensation to the extent of damage sustained will be made Provided that the employer’s liability for such tools will be limited to such tools of trade as are ordinarily required for the performance of the employee’s duties Where in the course of the work clothing or tools are damaged or destroyed by fire or molten metal or through the use of corrosive substances Transport 1. Reimbursement of any expense reasonably incurred in excess of expenses usually incurred travelling between home and normal place of work When employee is required to work during annual leave shutdown and the normal means of transport is unavailable and provided the employee attends for work and performs such work as the employer reasonably requires
SWS wage assessment agreement means the document in the form required by the Department of Social Services that records the employee’s productive capacity and agreed wage rate Eligibility criteria Employees covered by this schedule will be those who are unable to perform the range of duties to the competence level required within the class of work for which the employee is engaged under this award, because of the effects of a disability on their productive capacity and who meet the impairment criteria for receipt of a disability support pension. This schedule does not apply to any existing employee who has a claim against the employer which is subject to the provisions of workers compensation legislation or any provision of this award relating to the rehabilitation of employees who are injured in the course of their employment. Supported wage rates Employees to whom this schedule applies will be paid the applicable percentage of the relevant minimum wage according to the following schedule: Assessed capacity (clause C.5) % Relevant minimum wage % 10 10 20 20 30 30 40 40 50 50 60 60 70 70 80 80 90 90 [C.4.2 varied by , , , , , , , , , ppc 01Jul18] Provided that the minimum amount payable must be not less than $86 per week. Where an employee’s assessed capacity is 10%, they must receive a high degree of assistance and support. Assessment of capacity For the purpose of establishing the percentage of the relevant minimum wage, the productive capacity of the employee will be assessed in accordance with the Supported Wage System by an approved assessor, having consulted the employer and employee and, if the employee so desires, a union which the employee is eligible to join.
needs to do something to deal with the impact of the family and domestic violence and it is impractical for the employee to do that thing outside their ordinary hours of work. Note: The reasons for which an employee may take leave include making arrangements for their safety or the safety of a family member (including relocation), attending urgent court hearings, or accessing police services. 37A.5 Service and continuity The time an employee is on unpaid leave to deal with family and domestic violence does not count as service but does not break the employee’s continuity of service. 37A.6 Notice and evidence requirements Notice An employee must give their employer notice of the taking of leave by the employee under clause 37A. The notice: must be given to the employer as soon as practicable (which may be a time after the leave has started); and must advise the employer of the period, or expected period, of the leave. Evidence An employee who has given their employer notice of the taking of leave under clause 37A must, if required by the employer, give the employer evidence that would satisfy a reasonable person that the leave is taken for the purpose specified in clause 37A.4. Note: Depending on the circumstances such evidence may include a document issued by the police service, a court or a family violence support service, or a statutory declaration. 37A.7 Confidentiality Employers must take steps to ensure information concerning any notice an employee has given, or evidence an employee has provided under clause 37A.6 is treated confidentially, as far as it is reasonably practicable to do so. Nothing in clause 37A prevents an employer from disclosing information provided by an employee if the disclosure is required by an Australian law or is necessary to protect the life, health or safety of the employee or another person. Note: Information concerning an employee’s experience of family and domestic violence is sensitive and if mishandled can have adverse consequences for the employee. Employers should consult with such employees regarding the handling of this information. 37A.8 Compliance An employee is not entitled to take leave under clause 37A unless the employee complies with clause 37A.
Gas Industry III Information and Communications Technology I II III Laboratory Operations II III Local Government (other than Operational Works Cert I and II) I II III Manufactured Mineral Products III Manufacturing I II III Maritime I II III Metal and Engineering (Technical) II III Metalliferous Mining II III Museum, Library and Library/Information Services II III Plastics, Rubber and Cablemaking III Public Safety III Public Sector II III Pulp and Paper Manufacturing Industries III Retail Services (including wholesale and Community pharmacy) III Telecommunications II III Textiles, Clothing and Footwear III Tourism, Hospitality and Events I II III Training and Assessment III Transport and Distribution III Water Industry (Utilities) III
Name of employer representative: ________________________________________ Signature of employer representative: ________________________________________ Date signed: ___/___/20___
monitor and respond to electronic intrusion detection or access control equipment terminating at a visual display unit and/or computerised printout (except for simple closed circuit television systems). Such work must not include complex data input into a computer; monitor and act upon walk-through electromagnetic detectors; and/or monitor, interpret and act upon screen images using x-ray imaging and/or observation equipment, including in or in connection with airport security zones; operate a public weigh-bridge; record and/or report security incidents or matters on a computer based system; control a dog used to assist the security officer to carry out the duties of watching, guarding or protecting persons, premises or property; and conduct frisk searches of persons and screening using explosive trace detection including in or in connection with airport security zones. A Security Officer Level 2 may be required to perform the duties of a Security Officer Level l provided that such duties are not designed to promote deskilling. Security Officer Level 3 A Security Officer Level 3 works above and beyond the skills of an employee at Levels 1 and 2, and to the level of their skills, competence and training. A Security Officer Level 3: works from complex instructions and procedures under limited supervision; exercises good interpersonal and communications skills; exercises computer skills at a level higher than Level 2; assists in the provision of on-the-job training; exercises discretion within the scope of this classification level; and performs work independently under limited supervision either individually or in a team environment. Indicative of the tasks which an employee at this level may be required to perform are the following: control of movement of persons, vehicles, stock and material at gatehouses and similar locations utilising, monitoring and operating computer based systems requiring data input, including manipulation of spreadsheet based computer programs or other advanced monitoring system; monitor and operate, under supervision, building operation systems terminating at a visual display unit or computerised printout, including the monitoring of complex fire alarms, water towers/chillers, temperatures and other similar building operational system functions;
All assessments made under this schedule must be documented in an SWS wage assessment agreement, and retained by the employer as a time and wages record in accordance with the Act. Lodgement of SWS wage assessment agreement [C.6.1 varied by , ppc 04Dec13] All SWS wage assessment agreements under the conditions of this schedule, including the appropriate percentage of the relevant minimum wage to be paid to the employee, must be lodged by the employer with the Fair Work Commission. [C.6.2 varied by , ppc 04Dec13] All SWS wage assessment agreements must be agreed and signed by the employee and employer parties to the assessment. Where a union which has an interest in the award is not a party to the assessment, the assessment will be referred by the Fair Work Commission to the union by certified mail and the agreement will take effect unless an objection is notified to the Fair Work Commission within 10 working days. Review of assessment The assessment of the applicable percentage should be subject to annual or more frequent review on the basis of a reasonable request for such a review. The process of review must be in accordance with the procedures for assessing capacity under the supported wage system. Other terms and conditions of employment Where an assessment has been made, the applicable percentage will apply to the relevant minimum wage only. Employees covered by the provisions of this schedule will be entitled to the same terms and conditions of employment as other workers covered by this award on a pro rata basis. Workplace adjustment An employer wishing to employ a person under the provisions of this schedule must take reasonable steps to make changes in the workplace to enhance the employee’s capacity to do the job. Changes may involve re-design of job duties, working time arrangements and work organisation in consultation with other workers in the area. Trial period In order for an adequate assessment of the employee’s capacity to be made, an employer may employ a person under the provisions of this schedule for a trial period not exceeding 12 weeks, except that in some cases additional work adjustment time (not exceeding four weeks) may be needed. During that trial period the assessment of capacity will be undertaken and the percentage of the relevant minimum wage for a continuing employment relationship will be determined. [C.10.3 varied by , , , , , , , , , ppc 01Jul18] The minimum amount payable to the employee during the trial period must be no less than $86 per week.
[16.2 varied by ppc 01Jul18] This award incorporates the terms of Schedule E to the Miscellaneous Award 2010 as at 1 July 2018. Provided that any reference to “this award” in Schedule E to the Miscellaneous Award 2010 is to be read as referring to the Banking, Finance and Insurance Award 2010 and not the Miscellaneous Award 2010. Supported wage system [15 renumbered as 16 by , 16 renumbered as 17 by ppc 24Mar11] See Schedule D Allowances To view the current monetary amounts of work-related allowances refer to the . [16 renumbered as 17 by ; varied by , , , , , , ; 17 renumbered as 18 by ppc 24Mar11; 18 varied by , , , , ] Allowances are all-purpose allowances only if expressly stated in this clause. Where an employee is paid by the hour, the allowance will be 1/38th of the weekly allowance. Allowances for responsibilities or skills that are not taken into account in rates of pay First aid allowance Where an employer is required by legislation to appoint an accredited first aid officer(s) to perform first aid duties, such appointed employee(s) must be paid 1.84% of the per week for full-time employees and a pro rata amount for employees. Stand-by and call-back allowances An employee required to be available by roster for stand-by to perform work outside their ordinary working hours must be paid a stand-by payment at the following rate: Days Percentage per day of the % Monday to Friday inclusive 2.12 Saturdays, Sundays and public holidays 4.33 time
Structure—Transition from award-based transitional instruments to Cleaning Services Award 2010 [Varied by ; Sched F renumbered as Sched G by from 23Apr10] State Award Cleaning Services Employee Grade 1 Cleaning Services Employee Grade 2 Cleaning Services Employee Grade 3 Cleaning (Building and Property Services)(ACT) Award 1998 Cleaners Building Service Employee Grade 1 Building Service Employee Grade 2 Cleaning and Building Services Contractors (State) Award Cleaners Building Service Employee Grade 1 Building Service Employee Grade 2 Cleaning Contractors (Hygiene and Pollution Control) Industry () Award 2003 Cleaners Building Service Employee Grade I Building Service Employee Grade 2 Contract Cleaning Industry Award – State 2003 Cleaner Building Services Employee Grade 1 Building Services Employee Grade 2 Caretakers and Cleaners Award Cleaner Grade 1 Cleaner Grade 2 Cleaner Grade 3 Cleaning and Property Services Award Property Service Employee Grade 1 Property Services Employee Grade 2 Property Services Employee Grade 3 Building Services () Award 2003 Building Attendant Grade 1 (Cleaner) Building Attendant Grade 2 Building Attendant Grade 3 Contract Cleaners Award Cleaner As per Classification Structure As per Classification Structure