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I presently have a USB broadband modem. I purchased a wireless router which has ethernet connections. Currently, the modem is plugged into my computer downstairs which is running Windows 98, therefore, it won’t bridge the connections to my computer upstairs(XP). I can’t update to XP because a family fellow member wont ‘risk’ it.
Can I connect the USB broadband modem to my wireless router using a perplexed selection of cable adapters ie ethernet to USB (I can not find a USB TO ETHERNET adapter). If this is not possible, if I plug the USB modem into my XP computer, may I bridge the connections to my Win 98 computer using the XP computer as the host?
I think their is Ethernet to USB out their presently but not USB to ethernet. I do not see any reason why you ought to not be competent to hook up your USB modem to your XP computer and use it as a bridge to the 98 computer.
Of course, it would be nicer to have an all-in-one unit, but you may accomplish your goal with this equipment. You cannot use cable adapters to convert the modem’s USB into Ethernet. USB needs drivers to operate, and Ethernet connections do not provide those drivers to the device. you could likewise connect the modem to the XP machine and bridge connections, yes. but you may leave the scheme the way it is and configure it to run with no problems or difficulties like this:
If I had the hardwear in front of me, it would be requiring little effort to provide specifics… but i may probly give you an idea of what to do. There are only 2 steps here:
1. configure an internet gateway.
2. configure the router.
And the rest is easy.
1. Set up the internet machine to SHARE AN INTERNET CONNECTION (you may use the wizard if you want, or just enable Internet Connection Sharing), which will turn the 98 into an internet gateway. that gateway needs an IP address designated, however. In essence, the 98 machine will be the internet server, so the IP of the 98 machine is the IP of the gateway. Assign an address, for example: 192.168.1.1 to the 98 machine. the “192.168″ is important, and the last strings you may stretch on, but for the sake of ease lets keep it small. *TIP* the subnet mask will always be 255.255.255.0. okay that takes care of the host machine.
2. after you have an internet gateway, connect the wireless router, and console (or IP) in to the settings, normally by going into internet explorer and typing 192.168.0.1 into the address bar, and look for a slot for Internet Gateway. Type the address assigned in step 1. thats that for the router. (there may be other settings necessary for your specific network, and if there are, be sure to configure those.)
Lastly a few housekeeping tasks. make sure the workgroup for both machines is identical. I ordinarily use MSHOME as the workgroup. Also make sure that on the XP machine, your IP address is set to “Automatically Obtain IP address”, also known as DHCP.
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This econometric study covers the latent demand outlook for women’s premium body care productions with fragrance all over the regions of Greater China, including provinces, autonomous regions (Guangxi, Nei Mongol, Ningxia, Xinjiang, Xizang – Tibet), municipalities (Beijing, Chongqing, Shanghai, and Tianjin), special administrative regions (Hong Kong and Macau), and Taiwan (all hereafter referred to as “regions”). Latent demand (in millions of U.S. dollars), or potential industry net profit (P.I.E.) estimates are given all over some 1,100 cities in Greater China. For each major city in question, the percent share the city is of the region and of Greater China is reported. Each major city is specified as an area of “economic population”, as opposed to the demographic population within a legal geographic boundary. For galore cities, the economic population is much more prominent that the population within the city limits; this is peculiarly true for the cities of the Western regions. For the coastal regions, cities which are close to other major cities or which represent, by themselves, a high percent of the territorial population, actual city-level population is closer to the economic population (e.g. in Beijing). Based on this “economic” definition of population, comparative benchmarks grant the reader to quickly gauge a city’s selling and distribution value vis-a-vis others. This report does not talk about the specific players in the market serving the latent demand, nor specific details at the product level. The study likewise does not consider short-term cyclicalities that might affect realized sales. The study, therefore, is strategic in nature, taking an aggregate and long-run view, disregarding of the players or productions involved.
Excerpt. © Reprinted by permission. All rights reserved.WHAT IS LATENT DEMAND AND THE P.I.E.?
The conception of latent demand is rather subtle. The term latent quintessentially refers to something that is dormant, not observable, or not yet realized. Demand is the notion of an economic amount that a target population or market requires under dissimilar assumptions of price, quality, and distribution, amongst other factors. Latent demand, therefore, is commonly specified by economists as the industry net profit of a market when that market becomes accessible and beautiful to serve by competing firms. It is a measure, therefore, of potential industry net income (P.I.E.) or total revenues (not profit) if Greater China is served in an effective manner. It is quintessentially indicated as the total revenues potentially extracted by firms. The “market” is specified at a given level in the value chain. There may be latent demand at the syndication level, at the wholesale level, the constructing level, and the raw materials level (the P.I.E. of higher levels of the value chain being always littler than the P.I.E. of levels at lower levels of the same value chain, assuming all levels maintain minimum profitability).
The latent demand for women’s premium body care merchandise with fragrance in Greater China is not actual or historic sales. Nor is latent demand future sales. In fact, latent demand may be either lower or higher than actual sales if a market is inefficient (i.e., not representative of comparatively competitory levels). Inefficiencies arise from a number of factors, including the lack of global openness, cultural barriers to consumption, regulations, and cartel-like conduct on the portion of firms. In general, however, latent demand is specifically larger than actual sales in a market.
For reasons discussed later, this report does not consider the notion of “unit quantities”, only total latent revenues (i.e., a calculation of price times amount is never made, though one is implied). The units applied in this report are U.S. dollars not adjusted for inflation (i.e., the figures incorporate inflationary trends). If inflation rates vary in a significant way equated to recent experience, genuinely sales may likewise exceed latent demand (not adjusted for inflation). On the other hand, latent demand may be specifically higher than actual sales as there are many times distribution inefficiencies that reduce actual sales underneath the level of latent demand.
As noted in the introduction, this study is strategic in nature, taking an aggregate and long-run view, no matter of the players or merchandise involved. In fact, all the current productions or services on the market may discontinue to subsist in their present form (i.e., at a brand-, R&D specification, or corporate-image level) and all the players may be substituted by other firms (i.e., thru exits, entries, mergers, bankruptcies, etc.), and there will still be latent demand for women’s premium body care productions with fragrance at the aggregate level. Product and service offerings, and the actual identity of the players involved, while important for sure issues, are comparatively not significant for estimates of latent demand.
THE METHODOLOGY
In order to estimate the latent demand for women’s premium body care merchandise with fragrance throughout the regions and cites of Greater China, I applied a multi-stage approach. Before applying the approach, one needs a basic theory from which such estimates are created. In this case, I to a considerable degree rely on the use of sure basic economic assumptions. In particular, there is an assumption governing the shape and type of aggregate latent demand functions. Latent demand functions relate the income of a region, city, household, or person to realized consumption. Latent demand (often realized as consumption when an industry is efficient), at any level of the value chain, takes place if an equilibrium is realized. For firms to serve a market, they will have to grasp a latent demand and be capable to serve that demand at a minimal return. The single most primary variable determining consumption, assuming latent demand exists, is income (or other financial resources at higher levels of the value chain). Other components that may pivot or shape demand curves include external or exogenous shocks (i.e., business cycles), and or changes in utility for the product in question.
Ignoring, for the moment, exogenous shocks and variations in utility throughout geographies, the aggregate relation amid income and consumption has been a central theme in economics. The figure under concisely surmise one aspect of problem. In the 1930s, John Meynard Keynes conjectured that as incomes rise, the intermediate propensity to consume would fall. The intermediate propensity to consume is the level of consumption separated by the level of income, or the slope of the line from the origin to the consumption function. He approximated this kinship empirically and found it to be true in the short-run (mostly based on cross-sectional data). The higher the income, the lower the intermediate propensity to consume. This type of consumption function is labeled “A” in the figure underneath (note the rather flat slope of the curve). In the 1940s, another macroeconomist, Simon Kuznets, approximated long-run consumption functions which conveyed that the marginal propensity to consume was rather continuous (using time series data). This type of consumption function is shown as “B” in the figure under (note the higher slope and zero-zero intercept). The intermediate propensity to consume is constant.
Is it declining or is it constant? A number of other economists, notably Franco Modigliani and Milton Friedman, in the 1950s (and Irving Fisher earlier), explained why the two functions were dissimilar using respective assumptions on intertemporal budget constraints, savings, and wealth. The shorter the time horizon, the more consumption may depend on wealth (earned in former years) and business cycles. In the long-run, however, the propensity to consume is more constant. Similarly, in the long run, households with no income in the long run have no consumption (wealth is depleted). While the debate surrounding beliefs in regards to how income and consumption are affiliated is interesting, in this study a very queer school of thought is adopted. In particular, we are giving careful consideration to the latent demand for women’s premium body care productions with fragrance all over the regions and cities of Greater China. The smallest cities have few inhabitants. I assume that all of these cities fall along a “long-run” aggregate consumption function. This long-run function applies in spite of a lot of of these states having wealth; current income dominates the latent demand for women’s premium body care productions with fragrance. So, latent demand in the long-run has a zero intercept. However, I concede dissimilar propensities to consume (including being on consumption functions with differing slopes, which may account for divergences in industrial organization, and end-user preferences).
Given this overriding philosophy, I will now describe the methodology applied to invent the latent demand estimates for women’s premium body care merchandise with fragrance in Greater China. Since ICON Group has asked me to utilize this methodology to a huge number of categories, the rather academic discussion beneath is frequent and may be used to a wide potpourri of categories and geographic locations, not just women’s premium body care merchandise with fragrance in Greater China.
Step 1. Product Definition and Data Collection
Any study of latent demand requires that a heap of popular be established to define “efficiently served”. Having imposed respective number of things from which only one can be chosen and matched these with market outcomes, I have found that the optimal approach is to assume that sure key indicators are more likely to reflect efficacy than others. These indicators are given more outstanding weight than others in the estimation of latent demand equated to others for which no known data are available. Of the numerous alternatives, I have found the assumption that the most eminent aggregate income and most eminent income-per-capita markets reflect the best standards for “efficiency”. High aggregate income alone is not sufficient (i.e. a good deal of cities have high aggregate income, but low income per capita and may not assumed to be efficient). Aggregate income may be operationalized in a number of ways, including gross domestic product (for industrial categories), or total disposable income (for household categories; population times intermediate income per capita, or number of households times intermediate household income).
Latent demand is accordingly approximated using selective information accumulated for relatively…
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