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300 x 1.82 = 546

546 dollars

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Q: If 1 Pound 1.82 dollars how many dollars do i get for and 300 Pound's?
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GNP of Romania?

GDP Total: 182 343 000 000 US dollars Per capita: 8 165, 83 US dollars


How much would it cost roughly to drive 1300 highway miles at an estimated 20 mpg with todays gas prices?

1300 mi / 20 mpg * $2.8 / gal = 182 approx.


Characteristic of money market?

Charecteristics of Indian Money Market1.Co-existence of organized and unorganized sectors:The peculiar feature of the Indian Money Market is the co-existence of organized and unorganized sectors. The organized sector consists of the Reserve Bank of India, State Bank of India and its affiliates, Commercial Banks, etc., The Reserve Bank of India supervises these banks. Indigenous bankers and others belong to unorganized sector and thissector is not coming under the purview of Reserve Bank of India. We can notice the lack of co-operation and co-ordination between these two sectors.2.Lack of Integration:Indian Money Market is divided into several segments. They are loosely connected to each other. The various segments of Indian Money Market are not well co-ordinated. It leads to unhealthy competition among the segments.3.High volatile money market:The important feature of the Indian Money Market is the seasonal stringency of funds. The demand for money in the Indian Money Market is of seasonal in character. The money rates fluctuate from one period to another because during busy season more money is demanded.4.Diversified money rates of interest:Diversified money rates of interest is an important feature of Indian Money Market. Since funds can not move freely from one section to another, money rates of interest differ. Lack of co-ordination among various segments of money market is also responsible for diversified money rates of interest. But in recent years Reserve Bank of India is making all efforts to bring down the diversity in interest rates.5.Absence of well organized bill market:Bill market in India is not organized and well developed. The market for government and semi government securities is also not popular. Treasury Bill Market is also not well developed.6.Lack of well organized banking system:Existence of organized commercial banking system is pre requisite of a developed money market. In India, the development of commercial banking is uneven and not adequate. There are only few big banks in the country which are extremely smaller in number.7.Limited availability of credit instruments:The Indian Money Market does not have adequate short term credit instruments. The important credit instruments are call money market and treasury bills. However after 1988, Reserve Bank of India started introducing new instruments like 182 days treasury bill, 364 days treasury bill, certificate of deposits, commercial papers etc.,8.Few Lenders:The lenders in the Indian Money Market are few. Entry into the money market is strictly regulated. But the borrowers are large in number. Therefore this market is not very active and vibrant.9.Easy flow of foreign funds:Since 1991 foreign funds is easily flowing into India. Inspite of the flow it is not enough to meet the funds requirements of the country.10.Shortage of capital:Indian Money Market is facing the problem of capital shortage. Hence it can not meet the requirements of trade and commerce. Shortage is mainly due to low level of savings, inadequate banking facilities etc.,


What is the GDP of all countries and capitals?

- World 53,640,000 - European Union16,370,000 1 United States 13,790,000 2 Japan 4,346,000 3 Germany 3,259,000 4 China 3,249,000 5 United Kingdom 2,756,000 6 France 2,515,000 7 Italy 2,068,000 8 Spain 1,415,000 9 Canada 1,406,000 10 Russia 1,286,000 11 Brazil 1,269,000 12 India 1,090,000 13 South Korea 981,900 14 Australia 889,700 15 Mexico 886,400 16 Netherlands 754,900 17 Turkey 482,000 18 Belgium 442,800 19 Sweden 431,600 20 Switzerland 413,900 21 Poland 413,300 22 Indonesia 410,300 23 Taiwan 375,600 24 Saudi Arabia 374,500 25 Norway 369,300 26 Austria 366,700 27 Greece 356,300 28 Denmark 310,700 29 Iran 278,100 30 South Africa 274,500 31 Ireland 253,300 32 Argentina 245,600 33 Finland 236,100 34 Venezuela 226,900 35 Thailand 225,800 36 Portugal 219,500 - Hong Kong 203,000 37 United Arab Emirates 189,600 38 Colombia 171,700 39 Czech Republic 168,100 40 Malaysia 165,000 41 Chile 160,800 42 Romania 158,500 43 Singapore 153,500 44 Philippines 144,100 45 Hungary 136,400 46 Israel 132,500 47 Ukraine 131,200 48 Egypt 127,900 49 Nigeria 126,700 50 Algeria 125,900 51 New Zealand 124,400 52 Pakistan 106,300 53 Kuwait 103,400 54 Kazakhstan 102,500 55 Peru 101,500 56 Morocco 72,760 57 Slovakia 71,570 58 Bangladesh 70,600 59 Vietnam 66,400 60 Libya 66,010 61 Qatar 65,810 62 Angola 61,040 63 Iraq 55,440 64 Croatia 50,960 65 Sudan 49,710 66 Luxembourg 47,650 67 Cuba 45,100 68 Slovenia 44,570 69 Ecuador 44,500 70 Serbia 41,440 71 Oman 40,520 72 Bulgaria 39,070 73 Belarus 38,720 74 Liechtenstein 36,330 75 Dominican Republic 35,490 76 Tunisia 34,540 77 Guatemala 31,350 78 Azerbaijan 31,070 79 Kenya 29,500 80 Lithuania 28,570 81 Latvia 27,000 82 Turkmenistan 26,220 83 Sri Lanka 25,780 84 Syria 24,120 85 Lebanon 24,000 86 Costa Rica 22,840 87 Yemen 22,740 88 Estonia 21,200 89 Uruguay 21,170 90 Cameroon 20,930 91 El Salvador 20,230 92 Uzbekistan 20,180 93 Côte d'Ivoire 19,540 94 Iceland 19,520 95 Panama 19,280 96 Cyprus 17,420 97 Ethiopia 16,900 98 Bahrain 16,890 99 Zimbabwe 16,170 100 Jordan 15,700 101 Ghana 14,890 - Macau 14,300 102 Bosnia and Herzegovina 14,200 103 Trinidad and Tobago 14,150 104 Tanzania 14,110 105 Burma 13,700 106 Bolivia 12,800 107 Brunei 12,520 108 Botswana 11,350 109 Albania 11,200 110 Uganda 11,140 111 Senegal 11,100 112 Zambia 10,890 113 Gabon 10,340 114 Honduras 10,060 115 Afghanistan 9,933 116 Democratic Republic of the Congo 9,850 117 Nepal 9,627 118 Georgia 9,553 119 Equatorial Guinea 9,512 120 Paraguay 9,340 121 Armenia 9,270 122 Jamaica 8,905 123 Cambodia 8,300 124 Mozambique 8,132 125 Chad 7,400 126 Madagascar 7,306 127 Mauritius 7,030 128 Mali 6,936 129 Burkina Faso 6,858 130 Republic of Macedonia 6,850 131 Republic of the Congo 6,848 132 Namibia 6,707 133 The Bahamas 6,586 134 Malta 6,450 135 Papua New Guinea 5,914 136 Nicaragua 5,675 137 Benin 5,425 - West Bank and Gaza 5,328 138 Haiti 5,295 - Jersey5,100 139 Fiji 4,969 140 Guinea 4,568 141 Niger 4,219 142 Moldova 4,021 143 Laos 4,008 144 Mongolia 3,854 - French Polynesia3,800 145 Barbados 3,739 146 Tajikistan 3,700 147 Kyrgyzstan 3,488 148 Malawi 3,441 - New Caledonia 3,300 - Kosovo 3,237 149 Rwanda 2,836 - Guam 2,773 150 Mauritania 2,747 - Guernsey 2,742 - Isle of Man 2,719 151 Swaziland 2,674 152 Somalia 2,483 153 Togo 2,393 154 Montenegro 2,270 - Aruba 2,258 155 Suriname 2,234 156 North Korea 2,220 - Greenland 1,700 - Faroe Islands 1,700 157 Central African Republic 1,647 158 Lesotho 1,588 159 Sierra Leone 1,549 160 Eritrea 1,425 161 Cape Verde 1,367 162 Belize 1,304 163 Bhutan 1,164 164 Antigua and Barbuda 1,079 - Gibraltar 1,066 165 San Marino 1,048 166 Maldives 1,024 167 Burundi 989 168 Guyana 978 169 Saint Lucia 958 - British Virgin Islands 840 170 Djibouti 834 171 Seychelles 733 172 Liberia 732 - Northern Mariana Islands 633 173 Grenada 553 174 Saint Vincent and the Grenadines 528 175 Saint Kitts and Nevis 520 176 East Timor 472 177 Comoros 436 178 Vanuatu 421 179 Samoa 387 180 The Gambia 379 181 Solomon Islands 358 182 Guinea-Bissau 343 - American Samoa334 183 Dominica 268 184 Micronesia 232 185 Tonga 219 - Cook Islands 183 186 Palau 145 187 Marshall Islands 144 188 São Tomé and Príncipe 142 - Anguilla 109 189 Kiribati 73 190 Tuvalu 15 - Niue 10-cia world factbook


Current scenario of e-business in term of Indian economy?

1 Purnamita Dasgupta Institute of Economic Growth, Delhi National Workshop2 Objectives • To develop alternative socio-economic scenarios that take into consideration a sustainable development objective for India • To develop a conceptual frame for indicative economic costs of policies for adaptation to climate change, specific focus on vulnerable groups. • To illustrate the methodology with detailed studies, focusing on agriculture as a key sector3 Methodology • Key markers of socio-economic vulnerability and adaptive capacity were identified • These include Geographical (inter-state variation and coastal location), Demographic (inter-state population distribution) and Coping vulnerability (income differentials and access to basic facilities) • Socio-Economic variables impacting each of the above (through either an increase/decrease in vulnerability) are then interacted in a dynamic simulation model • Model provides: (a) alternative development pathways through short to medium term projections over (b) varying time scales (c) key parameters which can be influenced to achieve desirable outcomes for decreasing vulnerability. 4 Gross Domestic Product Poverty Reduction Sectoral Gross Domestic Product Food security Unemployment Reduction Access to Basic Services Share of Agriculture Sector Food grain Production Conceptual Frame - Economy and Agriculture Module5 Area under Food grain Profitability Technology Climatic Factors Irrigation Other Socio-Economic Factor Share of Primary Sector Education Infrastructure Food Production Population Per Capita Production Conceptual Frame: Dynamic Simulation of Food grain Production6 Gross Domestic Product Poverty Reduction Food Security, Unemployment Reduction, Acess to Basic Services Sectoral Gross Domestic Product Share of Agriculture Sector Area under Foodgrain area change due to change in profitability factor change in relative profitability irrigated area food grain non-irrigated area foodgrain change in area foodgrain Proportion of land irrigated <Time> food production Yield (irrigated) Yield (nonirrigated) Per capita production Population in2 <Time> <Time>7 Emerging Scenarios • Time scale from current time period till 2030 • Reference scenario has current expectations and assumptions of structural stability, and, concerns for vulnerability without climate change impacts - results available • Optimistic Scenario improves on reference with rapid technological progress and adaptive strategies - results available • Longer term Scenario Simulation - in progress • Indicative Costs - framework developed; ongoing work 8 Variable Reference Scenario Optimistic Scenario GDP growth rate (2020-2030) 7 % 8 % Unemployment Rate 1% 1% Income Poverty (Percentage BPL) 5% 5% Sectoral Shares in GDP: Primary: (Secondary + Tertiary) 0.15: 0.85 0.10:0.90 Per capita Food Grain Production 182 kgs 198 kgs Urbanisation 0.45 0.50 Access to basic amenities 100% 100% Socio-Economic Scenarios for the Indian Economy, 20309 Per Capita Foodgrain Production 170.00 175.00 180.00 185.00 190.00 195.00 200.00 2004-05 2005-06 2006-07 2007-08 2008-09 2009-10 2010-11 2011-12 2012-13 2013-14 2014-15 2015-16 2016-17 2017-18 2018-19 2019-20 2020-21 2021-22 2022-23 2023-24 2024-25 2025-26 2026-27 2027-28 2028-29 2029-30 reference scenario optimistic scenario10 Uncertainty Issues • TFP, technological progress • Limiting - cap values : land availability, irrigation potential, population, relative international prices • Turning points - thresholds : where these lie and extent of certainty of occurrence Quality Assurance • Face Validity through repeated iterations - expected and consistent signs and directions of flows • Historical behaviour tests • Reality checks with extreme values for parameters 11 Adaptation Framework • Response Levels - Variables determining potential for adaptation: education, technological development - Variables impacted by the potential: e.g. water use efficiency • Drivers of Change - Policies - State; Initiative - Public or Private or both - Agency - State as Enabler; Individual and Civil society - diffusion, uptake, funding12 Adaptation Framework • Costs - Knowledge Advancement Costs : Awareness and Media, R & D, Institutional Development - Sustainability Transition Costs: building a climate resilient society - most sectoral, context specific approaches/estimates capture these (on track with developmental goals) e.g.: R & D to installation of early warning systems; from institutional development to crop insurance at incremental premiums for climate change13 Some Conceptual Concerns • Developmental goals well defined for short term (e.g. MDGs); taken care of in setting the time frames and targets (e.g. literacy, poverty, access to basic amenities) • Adaptation Costs - in short run cover for derailment of the economy from the desired time path • Currently available CC data for 2071-2100; socio-economic modeling limitations beyond 2030. • Therefore, adopt a Systems Equilibrium approach ---- Moving from last three decades till 2004-05, to a future 30 year period: 2071 to 2100. Advantage - CC data available, disadvantages - too much uncertainty to risk putting one number to it, even for the economist!!! For the present, See Adaptation costs in terms of directions of change. Illustrate for food grain production.14 Food grain prod. 2004-05 10.54 10.5 13.4 12.15 5.26 37.84 14.1 13.11 25.67 16.0615 Foodgrain prod. 2030 (opt.) 15.19 11.18 14.28 12.93 5.6 40.28 26.04 13.96 27.34 17.1216 Foodgrain prod. 2071, 2100 21.56 17.18 18.86 22.74 15.77 31.95 27.3 19.73 23.93 20.64 18.85 17.93 20.91 18.32 18.83 24.26 20.63 24.82 28.91 24.3417 Relative Change in foodgrain production State Name 2030 relative to 2004-5 2071 relative to 2030 2100 relative to 2071 Andhra Pradesh + + + Gujrat + + + Haryana + + + Karnataka + + + Madhaya Pradesh + + - Maharastra + + - Punjab + - + Rajasthan + + - Uttar Pradesh + - - West Bengal + + + India + - -18 Indicative Transition & Knowledge Costs Adaptation to changing water availability for agriculture in vulnerable areas • Costs of weather insurance for typical rainfed agriculture - private (esp. large and medium); social / government (small and marginal) • Cost of water saving technology (drip and sprinkler irrigation) - mostly private costing • Cost of R & D in low water using crops - social/ government cost • Cost of institutional development and resilience build up for first two - both private and public; not so for last. Rather, private agent may have incentive to move into different land use. 19 Adaptation Costs • Various definitions and conceptual inconsistencies exist in adaptation literature and available estimates • Anticipated costs which maybe incurred by public and private agents to plan for a change foreseen with reasonable accuracy • Critical - precision of extent and probability of climate change impacts; incremental attributable to CC; agency which bears the cost. • Adaptation Funding for apportioning of costs between 2010 and 2100 • NREGA, BPL 20 % NREGA employment , % BPL 2.78 26.97 0 42.5 10.63 16.33 14.74 15.65 2.56 18.9421

Related questions

How many pounds are there in 182 kilogram?

182 kg = 401.2 pounds.


How much is 182 pound in kilogram?

Kilogram is the metric unit and pound is the imperial unit for mass. 1 Kilogram is 2.204 pounds. So we multiply pound by 0.4535 to get the equivalent kilograms. Answer in kg approx = 82.56


How many pounds is it from 182 to 189?

189 - 182 = 7. There are seven pounds between 182 and 189.


How much would 13 stone be in pounds?

182 pounds (14 stone for every 1 pound).


How many ounces are in 182 pounds?

1.82 pounds = 29.12 ounces


What is 183 pounds in stones and pounds?

14 pounds = 1 stone 183/14 = 13.071428... (182/14 = 13) Answer: 13 stones 1 pound


What is your mass in kilograms if you weigh 182 pounds?

The answer is 39.683 lbs (approx.). Kilogram is the SI unit of mass and pound is an imperial unit of mass. To convert from kg to pound, multiply the kg unit by 2.20462.


How many pounds in 13 stone 3 pounds?

In pounds, 13 stone is equal to 182 pounds. There are 14 pounds in 1 stone.


How many kilograms are in 182pounds?

It is equal to 82.553 kilograms approximately. Kilogram is the metric unit and pound is the imperial unit for mass. 1 Kilogram is 2.204 pounds. So we multiply pound by 0.4535 to get the equivalent kilograms.182/2.2 kgs


What is 12.5 percent off 182 dollars?

It is: 182-22.75 = 159.25 dollars


How many pounds is 182 fluid ounces is bleach?

12.4


What is kyle Massey's height and weight?

5'5 182 pounds 5'5 182 pounds