Population & Development 人口と開発 The Context All development is for the people. People are the ultimate and the only beneficiaries. Development is directed towards meeting the needs the people. Development also contributes to capacity building of individuals [能力形成] as well as group of individuals – family, society, etc. 2 The Context Development needs of the people are not the same. They vary by basic characteristics of population Size, Age, Sex The population stock determines the development needs. Development modifies the population stock through changes in mortality, fertility and other determinants. 3 TERMS / Definitions POPULATION [母集団] refers to a group of organisms of the same kind or specie living in the same place at the same time. A population [人口] may increase or decrease due to birth, death, immigration [移民] and migration [移住]. TERMS / Definitions The study of population characteristics is called demography [人口統計学] Demographic statistics include: Crude Birth Rate [粗出生率]: the number of live births per 1,000 people in the population Crude Death Rate [粗死亡率]: the number of deaths per 1,000 people in the population TERMS / Definitions Overpopulation [人口過剰] is defined as the lack of necessary resources to meet the needs of the population of a defined area Includes food, water, and shelter The World Today: More Than Seven Billion People More than 50% urban (in or near cities) 90% live north of the equator 90% live on 20% of the earth’s land 80% live at less than 500 m elevation 7 2/3 live within 500 km of an ocean Global Population: 2/ of the World in 4 Major 3 Clusters East Asia More than 1.5 billion people More than 20% of humanity About ½ billion people About 20% of humanity in China 8% of humanity About 50% rural South Asia More than 1.5 billion people About 20% of humanity Nearly 20% of humanity in India About 60% rural Southeast Asia More than 2/3 rural Europe About ¾ billion people 11% of humanity About ¾ urban Global Population East Asia • Eastern China, Japan, Korean peninsula & Taiwan • ¼ World’s Population • 5/6 live in PRC • China: ½ of population (rural) • Japan & Korea • 40% live in 3 major cities (Tokyo, Osaka, & Seoul) • ¾ Urban and work in industry/service jobs South Asia • India, Pakistan, Bangladesh & Sri Lanka • ¼ World Population • ¾ live in India • 68% in rural areas • 47% work in Agriculture Europe • 3rd Largest (including European portion of Russia) • Includes 37+ countries • 1/9 of world population • ¾ live in cities • > 10% farmers • Concentrated near major rivers and coal fields of Belgium and Germany Southeast Asia • Myanmar, Thailand, Laos, Vietnam, Cambodia, Malaysia, Indonesia, Philippines, & Papua New Guinea • Largest = Java = 100 million • Most work as farmers in rural areas Emerging Population Concentrations Eastern North America NE U.S. & SE Canada Boston D.C Chicago 2% of the world’s population Most urbanized concentration >2% farmers West Africa West Africa, including south facing coast & Nigeria 2% of the world’s population Nigeria = most populous African nation, ½ of this concentration Most work in agriculture Other Clusters Eastern North America Egypt West & East Africa Urban South America & the Caribbean US West Coast Highland Mexico Population Capacity Space Technology Consumption Resources How many people can be sustained by the Earth? Based on human choices and natural constraints. Maximum density. Quantity of arable land. Agricultural technology. Harvesting the ocean. Human facilities. Availability of resources (energy, construction materials, etc.). TERMS / Definitions Carrying capacity [人口容量]: the ability of the land to sustain a certain number of organisms Overpopulation occurs when the population exceeds the carrying capacity Population Capacity Arable land X Agricultural technology / Consumption per capita Ravenstein in 1891 Concept of carrying capacity. Focused on the earth’s cultivable areas, and their potential productivity given increases in yields over time: Fertile: 200 people / km2. Steppe: 10 people / km2. Desert: 1 person / km2. Figure of 7 billion people as the number Earth could sustain without lowering living standards. Reached this number in 2011. TERMS / Definitions Under population [人口不足]: a situation when there are not enough people to fully develop the resources in an area or country Likely to occur in: large areas which are not fully exploited e.g. Canada Developed countries such as Japan & Sweden where BR and population growth rates are falling Low replacement rate Countries where the proportion of people over 60 are increasing TERMS / Definitions The “5 too (s)” that human populations avoid too hot, too cold, too wet, too dry, and too hilly Because of this, humans occupy a small part of the planet Today, the largest populations are found in what are called habitable lands. Habitable lands are lands that are suitable for human living. Habitable land is called ecumene エクメーネ(ドイツ語:Ökumene)とは、人間が居住している地域を指す地理学の用 語である。 TERMS / Definitions Warmer comfortable climates attract people. Notice that most people live in a moderate climate region. TERMS / Definitions Density [密度] is a measure of “how many per.” Different density measures give us different insights, such as: Level of development Type of economy indications about population growth, health, status of people, overall economy, etc. TERMS / Definitions Population Density (Arithmetic density) [人口密度] Physiological Density [生理的密度] Agricultural Density [農業人口密度] TERMS / Definitions Population Density [人口密度]: divides the population by land area - (Arithmetic density) Population Density [人口密度] Population Density = (total population) / (total land area) JP population = 126.8 million (2018) JP land area = 377,973 km² Population density = (126,800,000)/(377,973 ) = 335.5 people/km² Tells us “where,” but not “why” Population Density [人口密度]: Geographers rely on the arithmetic density to compare conditions in different countries because the two pieces of information–total population and total land area–are easy to obtain. The highest arithmetic densities are found in Asia, Europe, and Central America. The lowest are in North and South America and South Pacific A street in Hong Kong, one of the most densely-populated places in the world. A street in Ulan Bator, Mongolia - the least densely-populated country in the world. TERMS / Definitions Physiological Density [生理的密度]: divides the total population by the land used by humans. Reveals the relationship between size of a population and the availability of resources in a region. Physiological Density [生理的密度] Physiological Density = (total population) / (total cultivable land) JP population = 126.8 million (2018) JP arable land = 44,960 km² Physiological density=(126,800,000)/(44,960)= 2820.3 people/km² Physiological Density [生理的密度] The higher the physiological density, the greater the pressure on the land to produce sufficient food (crops grown on a hectare of land in Egypt feed far more people than in the USA or Canada - much lower physiological densities). The highest physiological densities are found in Asia, sub-Saharan Africa, and South America. The lowest are in North America, Europe, and South Pacific. Physiologic Population Density Luxor, Egypt Egypt’s arable lands are along the Nile River Valley. Moving away from the river a few blocks, the land becomes sandy and wind-sculpted. 95% of Egyptians live near the Nile river TERMS / Definitions Agricultural Density [農業人口密度]: the number of farmers divided by the amount of arable land Agricultural Density [農業人口密度] Agricultural Density = (total population) / (total land area) JP population = 1.92 million (2016) JP arable land = 44,960 km² Agricultural density =(126,800,000)/(44,960 )= 42.72 farmer/km² Agricultural Density [農業人口密度] The highest agricultural densities are found in Asia and sub-Saharan Africa. The lowest are in North America, Europe, and South Pacific. Note: The Netherlands has a much higher physiological density than does India but a much lower agricultural density. Density: Comparison Table Arithmetic Physiologic Density Density (persons/km²) (persons/km²) Agricultural Density (farmers/km²) Farmers (%) Arable land (%) Canada 3 65 1 2% 5% USA 32 175 2 2% 18% Egypt 80 2,296 251 31% 3% The Netherlands 400 1,748 23 3% 22% Bangladesh 1,838 1,158 63 % 67 % 1,050 (data on arable land from the CIA “World Factbook”: https://www.cia.gov/library/publications/the-world-factbook/index.html) Bangladesh (DATA fro m TERMS / Definitions Population Density [人口密度]: divides the population by land area - (Arithmetic density) Physiological Density [生理的 密度]: divides the total population by the land used by humans Agricultural Density [農業人口 密度]: the number of farmers divided by the amount of arable land Population Density [人口密度] Physiological Density [生理的密度] Agricultural Density [農業人口密度] TERMS / Definitions Basic Population Measures: Crude Birth rate -CBR 粗出生率 Crude Death rate –CDR 粗死亡率 Rate of natural increase –NI 自然増加率 Total Fertility rate 合計特殊出生率 Infant mortality rate 乳児死亡率 Life expectancy at birth 平均寿命 Doubling time 倍加時間 Dependency ratio 依存比率 TERMS / Definitions Basic Population Measures: Crude Birth rate -CBR 粗出生率 Crude Birth Rate (CBR) is the annual number of live births per 1000 people in a population. Crude Birth rate -CBR 粗出生率 The crude birth rate is the total number of live births in a year for every 1,000 people alive in the society. The highest crude birth rates are found in subSaharan Africa and the Middle East, whereas the lowest are in Europe. TERMS / Definitions Basic Population Measures: Crude Death rate –CDR 粗死亡率: Total # of deaths in a year for every 1,000 people alive The global pattern of crude death rates varies from those for the other demographic variables. First, although Europe has the lowest natural increase, crude birth, and infant mortality rates, it has relatively high crude death rates. Second, the variance between the highest and lowest crude death rates is much lower than was the case for the crude birth rates. The concept of the demographic transition helps to explain the distinctive distribution of crude death rates. TERMS / Definitions Basic Population Measures: Rate of natural increase –NI 自然増加率: % by which a population grows per year. Compute by subtracting CDR from CBR (in percentage). NI = CBR – CDR (%) CBR is 20, CDR is 5 (per thousand), the NIR is 15 per 1,000, or 1.5% NATURAL INCREASE RATE; The world average is currently about 1.16 %. The countries with the highest NIRs are concentrated in Africa and Southwest Asia. Zero Population Growth (ZPG): If the CDR is the same as the CBR. True of most developed regions (North America, Japan, Europe, etc.). Negative NIR: If the CDR is higher than the CBR Demographic equation: the global difference between births and deaths NI = CBR – CDR (%) Population Rates: Two Examples Mexico 2011 (July est., CIA World Factbook) Population: 113,724,226 Births: 2,175,544 Deaths: 552,699 Rate of natural increase – NI [自然増加率] CBR = 2,175,544/ 113,724,226 = 19.13/1,000 CDR = 552,699/ 113,724,226 = 4.86/1,000 NI = 19.13 – 4.86 = 14.27/1,000 = 1.43% US 2011 (July est., CIA World Factbook) Population: 313,232,044 Births: 4,331,999 Deaths: 2,624,885 CBR = 4,331,999/ 313,232,044 = 13.83/1,000 CDR = 2,624,885/ 313,232,044 = 8.38/1,000 NI = 13.83 – 8.38 = 5.45/1,000 = 0.55% Note that Mexico’s growth rate is almost 3 times the US rate Population Change Beginning Population Plus Births Plus In-Migrants Minus Deaths Minus Out-Migrants Ending Population TERMS / Definitions Basic Population Measures: Total Fertility rate 合計特殊出生率: TFR is average number of children a woman will have during her ‘childbearing years’ (approx. ages 15-49) 合計特殊出生率: TFR exceeds six in some African nations. TERMS / Definitions Basic Population Measures: Infant mortality rate 乳児死亡率: Annual number of infant deaths (children under 1 year of age), compared with total live births, expressed as a number of deaths per 1,000. • Infant mortality rate is higher in developing countries than in developed countries. • The US infant mortality rate is higher than that of other developed countries, and geographic and racial disparities persist. TERMS / Definitions Basic Population Measures: Life expectancy at birth 平均寿命: Average length of someone’s life. Calculation of LE affected by infant, child, and maternal mortality rates Life Expectancy Index (LEI) = (LE — 20) / (85 — 20) Varies greatly from place to place and within populations Factors: violence, disease, poor healthcare, smoking, etc “Lowest” Life expectancy at birth (WHO, 2016) Both sexes rank Both sexes life expectancy Mali 171 58.2 Equatorial Guinea 171 58.2 Mozambique 173 57.6 South Sudan 174 57.3 Cameroon 174 57.3 Somalia 176 55.0 Nigeria 177 54.5 Lesotho 178 53.7 Cote d'Ivoire 179 53.3 Chad 180 53.1 Central African Republic 181 52.5 Angola Sierra Leone 182 183 52.4 50.1 Country TERMS / Definitions Basic Population Measures: Doubling time [倍加時間]: The amount of time it takes the world to double its population. Formula = 70 / Population Growth Rate (%) E.g. ( 70 / 2.0% = 35 years ) In the 1960’s & 70’s the doubling time was about 35 years. By 2088, it will once again have taken nearly 100 years for the population to double to a predicted 11 billion. it took nearly 7 centuries for the population to double from 0.25 billion (in the early 9th century) to 0.5 billion in the middle of the 16th century. The fastest doubling of the world population happened between 1950 and 1987: a doubling from 2.5 to 5 billion people in just 37 years It wasn't until 1803 that the world reached its first billion; it then took another 124 years to reach two billion. By the third billion, this period had reduced to 33 years, reduced further to 15 years to reach four. It took only 12 years to increase by one billion for the 5th, 6th and 7th Doubling time [倍加時間] Major regional differences in rates of growth. NIR exceeds 3% in many parts of Africa, while some of Western Europe experiences negative population growth. TERMS / Definitions Basic Population Measures: Dependency ratio [依存比率]: The ratio between the number of dependants (anyone above or below the working age) and the number of people in the potential labor force. Dependants: young dependents (YD): Anyone younger than 15 old dependants (OD): Anyone 65 and older Calculating Dependency Example Dependency ratio = YD + OD x 100 People of working age [依存比率]: YD= 500 OD= 250 People of working age = 600 Dependency ratio = 500 + 250 600 x 100 Dependency Ratio = 125 [which means that for every 100 workers, there are 125 not working] 45 years from the start of the sharp fertility decline in China, we have reached a turning point. The total dependency ratio will increase after decreasing steadily for 50 years. China’s old age dependency ratio is growing rapidly as people live longer and there are less workers are available to support their expenses. Populations that have low dependency ratios can grow rapidly if there are sufficient investments in education, job opportunities, and other areas. Importance of Dependency Ratio [依存比率] It’s important because it shows the ratio of economically inactive compared to active. Economically active will pay much more income tax Economically inactive (dependents) are bigger recipients of government spending (education, pensions and health care) Solutions for Higher Dependency Ratios Raising retirement age in line with longer life expectancies Encouraging immigration of people in early 20s and 30s Reduced government funded pensions and encouraging private pensions Costs and Benefits of Ageing and Youthful Populations Ageing Populations Causes Costs Life expectancy has increased, causing increased proportions of elderly 1. 2. 3. 4. Benefits 1. 2. Heavy Burden on state finances through pensions and welfare payments. Large demands on health systems Reduced workforce Population decline- if there’s also declined birth rates Workforce can work longer Elderly can help look after grand-children which allows parents to work full-time. Youthful Populations Causes Many LEDCs are have high birth rates. Costs 1. 2. 3. 4. Benefits 1. 2. High demand for education. Need for many women to stay at home to care for children High rates of unemployment Increased poverty- more people are born into families, which are already poor. Large potential workforce often leading to cheap labor, which can attract new investment. Less money is spent on healthcare. TERMS / Definitions Population Pyramids [人口ピラミッド] Dependency ratio [依存比率]: The ratio between the number of dependants (anyone above or below the working age) and the number of people in the potential labor force. Dependants: young dependents (YD): Anyone younger than 15 old dependants (OD): Anyone 65 and older TERMS / Definitions Population Pyramids [人口ピラミッド] Age group Elderly dependents The apex Working population Young dependents Percentage / Number of people The base Population Cohort A group of people that all have something in common and are usually grouped together for statistical purposes. In population pyramids, each cohort is split between men and women. What is a population pyramid? Population pyramids are used to show information about the age and gender of people in a specific country. The total population divided into five-year age groups the percentage of people in each of those age groups the percentage of males and females in each age group The statistics on a population pyramid give governments and others the tools they need to make informed decisions and plans for the future. Types of population pyramid There main types of pyramids Rapid growth –Expansive Slow/stable growth –Stationary Negative growth - Constrictive Expansive Stable/Stationary There shape of pyramids is controlled by: Birth; Death & Migrations Constrictive Expansive Pyramid (Broad-based Pyramid) Nigeria, 2017 Broad Base: high birth rates Narrow Top: small elderly pop high death rate (short life expectancy) Proportion: Large proportion of young - high young dependency Ratio Sex Ratio: Balance pyramid Balance sex ratio Expansive Pyramid (Broad-based Pyramid) The large base shows a high birth rate, which is probably due to factors like a developing economy, poverty, and low levels of female education. The tapering top of the graph indicates a high death rate, meaning that the life expectancy in such a country is less. Factors like poor living conditions and the lack of proper medical facilities may be responsible for the high mortality among the elderly. Such countries have a higher population of children as compared to people of working age or older people. This results in a strain on the working-age population to support the large younger population, making them work in stressful conditions. Examples: Such a population pyramid is a characteristic of newly developing countries such as Afghanistan, Bangladesh, Kenya, and some countries of Latin America. Stationary Pyramid (Rectangular-shape Pyramid) USA, 2015 Convex sides Declining birth rate Low death rate Long life expectancy An increasing proportion of the population is in the 65+ age group Stationary Pyramid (Rectangular-shape Pyramid) This type of population distribution shows a rectangular, with almost the same number of people in all age groups. There is a slight taper at the top, which is perfectly natural, due to more deaths occurring among the elderly. Such countries have a high life expectancy, where more people live to a ripe old age, due to better living conditions, medical facilities, and geriatric care. They also have a stable birth rate due to education and the empowerment of women. Such a pyramid shows a stable increase in the country's population with time. Examples: Highly-developed countries such as USA, Sweden, and Netherlands, which have well-established economies, come under this type. Constrictive Pyramid (Beehive-based Pyramid) Japan, 2017 Contractive Convex sides Very low birth rate Low death rate Longer life expectancy Decreasing population Significant proportion of working population, 15-64 yr old - large group of economically active pop Dependency ratio getting higher Constrictive Pyramid (Beehive-shape Pyramid) There is high life expectancy and good living conditions in such a country, leading to a higher number of older people. Despite this, there is a lesser number of births taking place, which is outnumbered by the number of deaths. This indicates a graying as well as decreasing population. There is a higher number of older people than the youth in the country, which places a burden upon the working-age population to support the large number of elderly dependents. The decrease in the number of births indicates that people are choosing to have lesser children, and may also be due to increased emigration. Examples: Developed European countries like Italy and Germany, along with countries like Japan and Australia come under this category. Importance of Population Pyramids Policy Planning ~ future housing estates ~ future schools ~ future jobs Comparison with other countries ~ developed (US) vs developing (India) Importance of Population Pyramids Trends in the birth rate, death rate, infant mortality rate and life expectancy - these trends can help a country to plan its future services, e.g. more homes for the elderly if there is an ageing population or fewer schools if there is a declining birth rate. The effects of people migrating into or out of a region or country. The proportion of the population who are economically active and the proportion who are dependent upon them (dependency ratio). Importance of Population Pyramids e.g. Analysis of Italy’s Population Pyramid 4 3 5 2 1 Analysis of Italy’s Population Pyramid 1. Decline in Birth Rate 2. Baby Boom 3. Fewer men due to World War I and II 4. More women due to: a. longer life expectancy and b. World Wars (I and II) 5. More 75-79 yrs than 0-4 yrs. Signs of a future worker shortage and an overall declining population. Aging population… …declining birth rate Theories of Population The Demographic Transition Model [人口転換] The Malthusian population model [マルサス人口理論] 3/16/2025 The Demographic Transition Model [人口転換] Spain Taiwan Why does population increase at different rates in different places? Why does population increase at different rates in different places? Conceived by Frank Notestein 1945. Model of population change based upon effects of economic development. Based on the experience of the Western world, it was used for decades as a model to predict what should/would happen to developing countries eventually (from a pre-Industrial to an industrialized economic system). All countries pass through four or five stages to a state of maturity. Stage 1: Low growth Stage 2: High Growth Stage 3: Moderate Growth Stage 4: Low Growth Demographic Transition Model Explains changes in the natural increase rate as a function of economic development. Stage 1 Stage 2 Stage 3 Stage 4 How about Japan? The Demographic Transition Model [人口転換] Why does population increase/decrease at different rates in different places? The demographic transition model [人口転換] explains how countries experience different stages of population growth. Fertility (合計特殊出生率), mortality (life expectancy-平均寿命) and migration (移住) are principal determinants of population growth Model of population change based upon effects of economic development. All countries pass through four stages to a state of maturity. Stage 1: Low growth Stage 2: High Growth Stage 3: Moderate Growth Stage 4: Low Growth Demographic Transition Model Population Demographic transition model “fertility and mortality vary over time: Demographic Transition Model — reasons for differences in fertility and mortality in the stages of the model; differences between economically more developed countries (EMDCs) and economically less developed countries (ELDCs) ” Population Demographic transition model The demographic transition model shows how a population will change over time as it changes from an agrarian society to an industrial, and post-industrial one. Population Demographic transition model The demographic transition model shows how a population will change over time as it changes from an agrarian society to an industrial, and post-industrial one. Stage 1. Birth and death rates are both high, leading to a low but stable population. High fluctuating UK pre 1760/Industrial Revolution. Ethiopia/Bangladesh/ Rainforest tribes presently. Demographic Transition Model Stage 1 = Pre-Industrial Stage • Population growth is stable • Stage 1 Stage 2 Stage 3 High death rate • Many diseases • Poor medical care • Poor sanitation • Limited food supply • High birth rate • People have many children because most will die before adulthood • Need large families to work family farms • No family planning (no birth control) • Religious & social norm • All countries were Stage 1 prior to the Industrial Revolution • Typical of Britain in the 18th century and the Least Economically Developed Countries (LEDC's) today. Stage 4 Demographic Transition Model Stage 1 = Pre-Industrial Stage Population Demographic transition model The demographic transition model shows how a population will change over time as it changes from an agrarian society to an industrial, and post-industrial one. Stage 2. Birth remain high but now death rates start to fall dramatically, leading to a rising population. Early expanding UK pre 1760-1880. Peru/Sri Lanka/Kenya presently. Demographic Transition Model Stage 2 = Transitional Stage • Population growth increases at a rapid pace • Stage 1 Stage 2 Stage 3 Declining death rate • Better jobs • Improvements in medical care • Improvements in sanitation • Increased food production • High birth rate • People are still accustomed to producing more children • Have more food & resources to support larger families • Countries that are transitioning to become industrial societies • Typical of Britain in 19th century; Bangladesh; Nigeria now. Stage 4 Demographic Transition Model Stage 2 = Transitional Stage Demographic Transition Model Stage 2 = Transitional Stage Population Demographic transition model The demographic transition model shows how a population will change over time as it changes from an agrarian society to an industrial, and post-industrial one. Stage 3. Birth start to fall now and death rates continue to fall, causing the population to continue to rise but less quickly now as the gap between births and deaths is closing. Late expanding UK 1880-1940 China/Cuba/Australia presently. Demographic Transition Model Stage 3 = Industrial Stage • Population growth continues • Stage 1 Stage 2 Stage 3 Low death rate • Continued improvements in nutrition, medicine, and sanitation due to higher standard of living • Decreasing birth rate • People stop having as many children because children have a better chance of surviving to adulthood • Preference for smaller families in order to have a higher standard of living • Increased status & opportunities for women (education + jobs) • Increased women empowerment • Factories, commercial farms, some service industries • Britain in late 19th, Botswana, Colombia, India, Jamaica, Kenya, Mexico, South Africa, and the United Arab Emirates Stage 4 Demographic Transition Model Stage 3 = Industrial Stage Demographic Transition Model Stage 3 = Industrial Stage Population Demographic transition model The demographic transition model shows how a population will change over time as it changes from an agrarian society to an industrial, and post-industrial one. Stage 4. Birth and death rates are now both low, causing the population to be more stable but high. Low fluctuating UK post 1940 Japan/Canada/USA Demographic Transition Model Stage 1 Stage 2 Stage 3 Stage 4 Stage 4 = Post-Industrial Stage • Stable population size, near zero-growth • Low death rate • High standard of living • Equal access to good healthcare • Low birth rate • Replacement-level fertility rate • About 2 children per woman • Strong economies, high levels of education, high numbers of working women • Argentina, Australia, Canada, China, Brazil, most of Europe, Singapore, South Korea, and the United States Demographic Transition Model Stage 4 = Post-Industrial Stage Demographic Transition Model Population Demographic transition model Each stage creates population pyramids unique to that stage. Population Demographic transition model Stage 1. Birth rates are high because: High infant mortality rate so parents more in hope that several will survive. produce Population Demographic transition model Stage 1. Birth rates are high because: High infant mortality rate so parents produce more in hope that several will survive. Many children needed to work in agriculture Population Demographic transition model Stage 1. Birth rates are high because: High infant mortality rate so parents produce more in hope that several will survive. Many children needed to work in agriculture Children expected to support parents in later life in the absence of pensions. Population Demographic transition model Stage 1. Birth rates are high because: High infant mortality rate so parents produce more in hope that several will survive. Many children needed to work in agriculture Children expected to support parents in later life in the absence of pensions. Children regarded as a sign of virility and status in some societies. Population Demographic transition model Stage 1. Death rates are high because: Lack of access to medical science/supplies - few doctors, hospitals, drugs. Population Demographic transition model Stage 1. Death rates are high because: Lack of access to medical science/supplies - few doctors, hospitals, drugs. Poor hygiene - no piped, clean water systems, no proper, safe sewage disposal systems. Population Demographic transition model Stage 1. Death rates are high because: Lack of access to medical science/supplies - few doctors, hospitals, drugs. Poor hygiene - no piped, clean water systems, no proper, safe sewage disposal systems. Famine, uncertain food supplies, poor diets. Population Demographic transition model Stage 1. Death rates are high because: Lack of access to medical science/supplies - few doctors, hospitals, drugs. Poor hygiene - no piped, clean water systems, no proper, safe sewage disposal systems. Famine, uncertain food supplies, poor diets. Disease spread by lack of access to clean water/plague (bubonic, cholera, bilharzias). Population Demographic transition model Stage 1. Natural increase (population growth) is low because although there is a high of birth rate the similarly high number of deaths effectively cancels them out, leaving a low but stable population. Population Demographic transition model Stage 2. Birth rates remain high because of all the same reasons as for Stage 1. Population Demographic transition model Stage 2. Death rates begin to fall because: Improved medical care antibiotics, vaccinations, hospitals, doctors, drugs, scientific innovations which combined to reduce infant mortality rates. Population Demographic transition model Stage 2. Death rates begin to fall because: Improved medical care antibiotics, vaccinations, hospitals, doctors, drugs, scientific innovations which combined to reduce infant mortality rates. Improved sanitation and water supply systems reduces disease. Population Demographic transition model Stage 2. Death rates begin to fall because: Improved medical care antibiotics, vaccinations, hospitals, doctors, drugs, scientific innovations which combined to reduce infant mortality rates. Improved sanitation and water supply systems reduces disease. Improvements in agricultural efficiency increased quality and quantity of food production, reducing shortages. Population Demographic transition model Stage 2. Death rates begin to fall because: Improved medical care antibiotics, vaccinations, hospitals, doctors, drugs, scientific innovations which combined to reduce infant mortality rates. Improved sanitation and water supply systems reduces disease. Improvements in agricultural efficiency increased quality and quantity of food production, reducing shortages. Improved communications to transport food, doctors, medicines etc. Population Demographic transition model Stage 2. Natural increase (population growth) is high because there is now a large gap between births and deaths, increasing the population rapidly. Population Demographic transition model Stage 3. Birth rates begin to fall because: Lower infant mortality rate means less pressure to have many children. Population Demographic transition model Stage 3. Birth rates begin to fall because: Lower infant mortality rate means less pressure to have many children. Widespread availability and knowledge of family planning - Government incentives (antinatalist policies –China). Population Demographic transition model Stage 3. Birth rates begin to fall because: Lower infant mortality rate means less pressure to have many children. Widespread availability and knowledge of family planning - Government incentives (antinatalist policies –China). Change from agrarian to an industrial society and mechanisation leads to a reduction in workforce requirements. Population Demographic transition model Stage 3. Birth rates begin to fall because: Lower infant mortality rate means less pressure to have many children. Widespread availability and knowledge of family planning - contraceptives, abortion, sterilisation and government incentives (anti-natalist policies –China). Change from agrarian to an industrial society and mechanisation leads to a reduction in workforce requirements. Welfare systems i.e. pensions meant children no longer needed to care for parents in old age. Population Demographic transition model Stage 3. Birth rates begin to fall because: Emancipation of women and improved educational opportunities has increased status of women, enabling them to pursue careers and so delay child-bearing. Population Demographic transition model Stage 3. Birth rates begin to fall because: Emancipation of women and improved educational opportunities has increased status of women, enabling them to pursue careers and so delay child-bearing. Population Demographic transition model Stage 3. Birth rates begin to fall because: Emancipation of women and improved educational opportunities has increased status of women, enabling them to pursue careers and so delay child-bearing. Increased desire to pursue material lifestyles (cars, holidays, bigger homes) and less for large families. Population Demographic transition model Stage 3. Natural increase (population growth) remains high due to the gap between births and deaths but as this stage progresses the increase gets less as births and deaths match up again. Population Demographic transition model Stage 3/4. Death rates continue to fall because of ongoing developments in health and hygiene already mentioned. Population Demographic transition model Stage 3/4. Death rates remain low because: Continued advances in paediatric care further reduce infant mortality rates. Population Demographic transition model Stage 3/4. Death rates remain low because: Continued advances in paediatric care further reduce infant mortality rates. Improved diets Continued advances in geriatric care increase life expectancy Population Demographic transition model Stage 3/4. Death rates remain low because: Continued advances in paediatric care further reduce infant mortality rates. Improved diets Continued advances in geriatric care increase life expectancy Increase in preventative health care Enhanced public services for elderly specialised care workers, day-centres, residential homes, sheltered housing, meals-on-wheels. Population Demographic transition model Stage 3/4. Death rates remain low because: Continued advances in paediatric care further reduce infant mortality rates. Improved diets Continued advances in geriatric care increase life expectancy Increase in preventative health care Enhanced public services for elderly specialised care workers, day-centres, residential homes, sheltered housing, meals-on-wheels. Universal state pension scheme and increasing uptake of private pensions have increased affluence of elderly and so increased life expectancy. Population Demographic transition model Stage 4. Birth rates continue to fall for all the same reasons as Stage 3. Population Demographic transition model Stage 4. Natural increase (population growth) is again low as births and deaths virtually cancel each other out, but now the population is high.. Population Demographic transition model Sri Lanka Ethiopia Each stage creates population pyramids unique to that stage. China Japan Demographic Transition Model – Limitations It does not include the influences of migration It assumes that all countries will go through the same pattern There is no time scale Reasons for birth rates and death rates are very different in different countries And finally, is there a stage 5? Theories of Population The Demographic Transition Model [人口転換] The Malthusian population model [マルサス人口理論] The Malthusian population model [マルサス人口理論] Lived from 1776- 1834 He wrote “ An essay on the principle of population” in 1798 It was quite revolutionary and controversial in his time His essay if often times described as pessimistic and barbaric, as it predicted nothing short of a catastrophe for the human race. 3/16/2025 3/16/2025 The Malthusian population model [マルサス人口理論] 3/16/2025 The Malthusian population model [マルサス人口理論] 3/16/2025 The Malthusian population model [マルサス人口理論] 3/16/2025 3/16/2025 3/16/2025 3/16/2025 6 Factors that Affect NIR Discussion: 1. 2. 3. 4. 5. 6. Economic Development: Education Gender Empowerment Healthcare Cultural Traditions Public Policy Explain how each of the aforementioned factors might affect the Natural Increase Rate of a country. Be specific. 6 Factors That Affect NIR? Economic Development: affects available healthcare, employment, nutrition, etc. Generally, increases in economic development lead to decreases in fertility and growth rate Education: affects fertility, use of contraception (birth control), etc. Better education leads to lower fertility rates and lower rates of natural increase Gender Empowerment: opportunities available to women. When women have more economic and political access, power, and education, fertility drops. 6 Factors That Affect NIR? Healthcare: has contradictory effects. Improved healthcare in less-developed countries has decreased infant mortality and increased life expectancy, thus contributing to population growth Cultural Traditions: can encourage high fertility rates by limiting female employment outside the home and discouraging use of contraception Public Policy: governmental programs, like China’s ‘One Child Policy’ of 1979, provides economic incentives for people having few children and penalties for those who have more than one. Most developed countries have reached stage four and have low birth and death rates, while developing countries continue to make their way through the stages. Lower fertility rates — lower child mortality, higher incomes, the education of women Countries with high child mortality rates tend to have faster growing populations, while countries with low child mortality rates experience lower population growth rates. Transition model Population Geography Population Theories Demographic Transition Model Population Theories BUT REMEMBER… The agricultural revolution allowed for cities and faster population growth rates (10,000-12,000 years ago). • The Industrial Revolution allowed for even faster growth rates (starting in the 1700s). • • Earth has experienced a POPULATION EXPLOSION in the last 2-3 centuries. Thomas Malthus Economist and geographer Essay on the Principle of Population (1798) Claims based on: 1.) People need food to survive 2.) People have a natural desire to reproduce Food production increases arithmetically (linear growth) while population grows geometrically (exponential growth). Thomas Malthus Argued that human population growth would eventually outpace people’s ability to produce food. This little problem would lead to war, starvation, and disease, or “negative checks” on the population. Advocated for “positive checks” such as birth control and celibacy. HAS THIS HAPPENED? Arguments against Malthusian perspective Malthus did not fully account for the ability to people to increase food production dramatically with new agricultural technologies. Genetic engineering Improved fertilization techniques Modern farm equipment Arguments against Malthusian perspective (continued) Did not foresee population growth would slow down over time. Contraception Changing role of women Individual choice of not having children Did not recognize famine is usually not related to lack of food, but to the unequal distribution of food. Neo-Malthusians Apply some ideas in the Malthusian theory. Human population growth must reach a “sustainable” level within carrying capacity. Regional rather than global. Paul Ehrlich The Population Bomb (1968) Neo- Malthusian ecologist Made the argument about the ability of the earth to sustainably provide resources for an exponentially growing population. Mass starvations Societal uprisings Raised the general awareness of population and environmental issues and influenced public policy. The battle to feed all of humanity is over. In the 1970s hundreds of millions of people will starve to death in spite of any crash programs embarked upon now. At this late date nothing can prevent a substantial increase in the world death rate... Other theories… Karl Marx Population growth rates are not the problem but the unequal distribution of resources and wages would eventually lead to class warfare. Ester Boserup Believed that the overpopulation problem could be solved by increasing the number of subsistence farmers. Population Pyramids AGE-SEX STRUCTURES Population Cohort A group of people that all have something in common and are usually grouped together for statistical purposes. In population pyramids, each cohort is split between men and women. Population Pyramids A model used in population geography to show the age and sex distribution of a particular population. Shape matters… Wide-base= more young people Top-heavy= more old people Tells you about the current population and can give you information about the FUTURE! Predicting Populations Demographic Transition Model Several models have been developed to explain changes in population over time and to relate various social, economic, and environmental factors to population growth. Demographic Transition Model Explains changes in the natural increase rate as a function of economic development. Demographic Transition Model Three measurements used in the DMT Crude birth rate (CBR) Crude death rate (CDR) Natural increase rate (NIR) Stages of “Transition” Stage 1, Low Growth Stage 2, High Growth Stage 3, Moderate Growth Stage 4, Low Growth Stage 1, Low Growth (High Stationary Stage) High CBR and CDR. Natural increase rate essentially zero. During this stage, most people depend on hunting and gathering for food. Subsistence farming country without an industrialized economy. Stage 2, High Growth (Expanding Stage) Crude death rate suddenly plummets, while crude birth rate roughly remains the same. Children are needed on farms (high CBR). New health care systems arrive (medicine) and industrialization has begun (lowered CDR). Therefore, the natural increase rate is also very high, and population grows rapidly. Stage 3, Moderate Growth (Expanding Stage) Crude birth rate begins to drop sharply. The population continues to grow because the CBR is still greater than the CDR, but the increase is more modest. People choose to have fewer children. Population more likely to live in cities and to work in offices, shops, etc. rather than farms. Children will live longer because of new health care technology available. Women have more options in newly industrialized economy. Stage 3, Moderate Growth (Expanding Stage) Crude birth rate begins to drop sharply. The population continues to grow because the CBR is still greater than the CDR, but the increase is more modest. People choose to have fewer children. Population more likely to live in cities and to work in offices, shops, etc. rather than farms. Children will live longer because of new health care technology available. Women have more options in newly industrialized economy. Stage 4, Low Growth (Low Stationary Stage) Crude birth rate declines to the point where it equals the crude death rate Zero population growth or very low NIR. Modern-society stage. Stage 5 (Proposed) Would show a continuing decline in the CBR Seen in more- developed countries such as France and Germany. Is the Demographic Transition Model UNIVERSALLY Applicable????? Arguments against DTM Too simplistic Eurocentric model? Factor such as culture, religion, geopolitics, migration, and the structure of the global economic system itself may prevent many of today’s less developed countries from ever taking the path described. More people today. Economies transitioning way faster now. Regional differences TERMS / Definitions Physiological Density [生理的密度]: divides the total population by the land used by humans Physiological Density [生理的密度] Physiological Density = (total population) / (total cultivable land) JP population = 126.8 million (2018) JP arable land = 44,960 km² Physiological density =(126,800,000)/(44,960 )= 2820.3 people/km²
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