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3 years ago

Which of these effects of expansionary spending would a government most want to avoid?

Social Studies

2 answers:

avanturin [10]3 years ago

6 0

It is B, higher inflation

AlladinOne [14]3 years ago

3 0

The correct answer is higher inflation.

Definitely, <em>when using expansionary spending, a government most want to avoid inflation effects.</em>

A government uses a expansionary spending when it increases government borrowing and sells bonds to the private companies.

An expansionary is considered a <em>macroeconomic policy</em>. Its purpose is to generate economic growth or a measure to combat inflation, doing four things: expanding the money supply, reduce interest rates, reduction of taxes, and increasing government spending.

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Answer:

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3 years ago

Think about the last time you experienced very ineffective communication with another person— someone you work with, a classmate

VladimirAG [237]

Answer:

Find the explanation below.

Explanation:

The last time I experienced ineffective communication was when I tried talking to my younger sibling on the dangers of anger. I had noticed that she always threw tantrums and would always get angry when she did not get her way.

1. The communication was ineffective because I used bogus words which she found difficult to understand. In a statement I made, I mentioned that 'anger was inimical and detrimental as it predisposes a person to health issues which could lead to death'. This sentence was ineffective as she did not understand the meaning of inimical and detrimental and the possibility of death scared her.

2. The encoding and decoding stages were problematic. The encoding stage was problematic because I did not really understand the level of knowledge of my receiver. The decoding stage was also problematic because the receiver was lost as to the meaning of the words I used and misinterpreted the message.

3. Filtering is the withholding of information by a sender because he feels the receiver might not need the information. I filtered the meaning of the big words I used which were not age-appropriate.

4. I should have used words that would be understood by a five-year-old. This means that instead of using inimical and detrimental, I would have used bad or not good. Death was also not a good example to have used. I would have said that anger would make us not to be loved by our friends or any other lighter example.

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3 years ago

What action angered many american colonists in the years before the american revolution

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3 years ago

Complete this analogy. Carson City is to Nevada as _______ is to Vermont

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3 years ago

Carefully study the chart above.

Nikolay [14]

Answer:

Country or Entity Christians % Christian % Catholic % Protestant/ Orthodox/ Other Christian GDP/Capita PPP World Bank 2012

Afghanistan (details) 6,250/8,000[22]-30,000[23] 0.02%[23] 1,400

Comoros (details) 15,000 2.1% 1,230

Cook Islands (details) 19,000 86% 16.8% 69.6%

Congo, Republic of (details) 3,409,000 90.7% 50% 40% 4,426

Congo, Democratic Republic of (details) 63,150,000 92% 50% 42% 422

Costa Rica (details) 3,912,000 83% 69% 14% 12,943

Côte d'Ivoire (details) 7,075,000 32.8% 28.9% 3.9% 2,039

Croatia (details) 4,107,000 90.1%[48] 86.2% 4.7% 20,532

Cuba (details) 6,670,000[23] 59.2%[23] 52.7% 7.5%

Cyprus (details) 863,000 79%[49][50] 1% 78% 30,597

Czech Republic (details) 1,175,000 34%[39] 29.0%[39] 5.0%[39] 26,426

Denmark (details) 4,400,754[51] 79% 1% 77.8%[52] 41,388

Djibouti (details) 53,000 6.0% 1% 5% 2,784

Dominica (details) 59,000 88.7% 61% 27% 12,643

Dominican Republic (details) 9,734,000 83% 65% 18% 10,204

East Timor (details) 1,152,000 99.1%[53] 96.9% 2.2%

Ecuador (details) 14,099,000 94.0% 74% 20% 9,738

Egypt (details) 9,029,000 10.0% [54] 6,723

El Salvador (details) 5,073,000 81.9% 52.6% 29.3% 7,069

Equatorial Guinea (details) 683,000 88.7%[23] 80.7% 8.0% 30,233

Eritrea (details) 3,577,000 67%[55] 4% 54% 566

Estonia (details) 310,000 45%[39] 3%[39] 42%[39] 23,024

Eswatini (details) 994,000 82.7% 25% 57.7% 5,246

Ethiopia (details) 77,477,000 75% 0.7% 63.4% 1,139

Falkland Islands (details) 3,000 94.3% 94%

Faroe Islands (details) 33,000 95.4%[56] 94%

Fiji (details) 540,000 64.4% 8.9% 55.5% 4,943

Finland (details) 3,909,000[57] 70.7%[57] 0.3% 70.4% 38,230

France (details) 36,700,000-40,000,000 51.1%[58]-58%[39]/63-66%[59] 50-63%[60]/54%[39] 4%[39] 35,845

Gabon (details) 1,081,000 88.0%[61] 41.9% 46.1% 16,086

Gambia (details) 79,000 4.2% [62] 1,948

Georgia (details) 3,930,000 88.6%[63] 0.9% 87.7% 5,902

Germany (details) 45,754,000 55.0%[64] 27.2%[64] 27.8%[64] 40,394

Ghana (details) 19,300,000 71.2%[65] 13.1% 58.1% 2,048

Greece (details) 11,000,000 98% 0.7% 97.3% 24,667

Greenland (details) 55,000 96.6% 96.6%

Grenada (details) 101,000 97.3% 53% 45% 10,827

Guatemala (details) 14,018,000 87% 47% 40% 5,100

Guinea (details) 1,032,000 8.9% [66] 5% 5% 1,069

Guinea-Bissau (details) 165,000 10.0% 10.0% 1,192

Guyana (details) 434,000 58.0% 8% 50% 3,400

Haiti (details) 9,597,000 96.0% 80.0% 16.0% 1,228

Honduras (details) 6,660,000 88%[67] 47% 41% 4,194

Hong Kong (details) 835,000 11.8%[68] 5.0% 6.8% 51,946

Hungary (details) 5,254,179[69]- 6,501,000[39] 52.87%[69]-65.0%[39] 38.96%[69]-58.0%[39] 13.91%[69] 21,570

Iceland (details) 273,300[70] 75.1%[70] 4.0%[70] 71.0%[70] 37,533

India (details) 30,000,000 2.3% [30] 1.3% 1.0% 3,876

Indonesia (details) 24,000,000 10%[71] 3% 7% 4,956

Iran (details) 380,000[72] 0.4% 0.4% 11,395

Iraq (details) 944,000 3.0% 3.0% 4,246

Ireland (details) 3,992,000 (2016)[73] 83.8% (2016)[73] 78.2% (2016)[73] 5.6% (2016)[73] 42,662

Israel (details) 266,000 3.5% 3.5% 28,809

Italy (details) 53,230,000[74] 83% 81.2% 2% 32,512

Jamaica (details) 1,784,000 65.3% 2% 63.3% 7,083

Japan (details) 2,921,000 2.3%[75] 1% 1% 35,204

Jordan (details) 388,000 6.0%[76] 6,148

Kazakhstan (details) 4,150,000[23] 26.2%[23] 2.3% 23.9% 13,892

Kenya (details) 34,774,000 85.1% 23.4% 61.7% 1,761

Korea, North (details) 406,000 1.7%

Korea, South (details) 14,601,000[23][77] 27.6%[23] 7.9% 19.7% 30,722

Kuwait (details) 458,000 15.0% 3.2% 12.8% 49,001

Kyrgyzstan (details) 610,000[23]-944,000 11.4%[23]-17.0%[78] 2,409

Laos (details) 145,000 2.2% 1% 1% 2,926

Latvia (details) 1,570,000 70%[39]-80%[79] 24.1%[39]-25.1%[79][80] 46.8%[39]-54.9%[79] 21,005

Lebanon (details) 1,600,000-1,800,000[81][82] 38.0%-41.0% 26% 15% 16,610

Lesotho (details) 1,876,000 90.0% 45% 45% 1,963

Liberia (details) 1,391,000 85.5%[83] 85.5% 655

Libya (details) 170,000[23] 2.7%[23] 0.5% 1.5% 17,665

Liechtenstein (details) 30,000 84.4%[84] 75.9% 8.5%

Lithuania (details) 2,827,000 81.4%[85]-86.0%[39] 77.2%[86]-80.0%[39] 5.6%-6.0%[39] 23,487

Luxembourg (details) 360,000 72.4%[87] 68.7% 3.7% 88,318

Madagascar (details) 8,260,000 41.0% 978

Malawi (details) 12,538,000 79.9% 902

Malaysia (details) 2,820,000 9.2%[88] 17,143

Maldives (details) 300 0.08% 9,072

Mali (details) 348,000 2.4% [89] 1,214

Malta (details) 400,000 91.6%[90] 88.6% 3.0% 29,013

Mauritania (details) 5,000 0.14% 2,604

Mauritius (details) 418,000 32.2% 15,649

Mexico (details) 107,780,000 92.4%[91] 82.7% 9.7% 16,676

3 0

3 years ago