<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"The People's Republic of China's 40-Year Demographic Dividend and Labor Supply: The Quantity Myth."
Abstract:"During the past 40 years, the economy of the People's Republic of China (PRC) has achieved miraculous growth, a significant part of which many have attributed to its favorable labor supply resulting from the country's demographic dividend-that is, a relatively large share of the working-age population in the total population (WAPS). Currently, this dividend is slipping away, and many in the PRC are very concerned. Against this background, I set out to examine the contributions of various dimensions of the PRC's changing WAPS and its impact on economic growth. I show that between 1982 and 2015 the increase in WAPS was offset by a decline in the labor force participation rate, resulting in a very limited increase in the quantity of the labor supply. I then estimate the association between regional variations in economic growth and changes in factors such as population size, WAPS, migration, and education. The results lend little support to the view that an expanding WAPS played a major role in the PRC's economic growth over this period.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.

Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation. 

Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.

Q4: What type of climate or environmental keywords are explicitly mentioned?:  0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation. 

Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.

Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.

Use the following template: 

Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
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Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:

The People's Republic of China's 40-Year Demographic Dividend and Labor Supply: The Quantity Myth
During the past 40 years, the economy of the People's Republic of China (PRC) has achieved miraculous growth, a significant part of which many have attributed to its favorable labor supply resulting from the country's demographic dividend-that is, a relatively large share of the working-age population in the total population (WAPS). Currently, this dividend is slipping away, and many in the PRC are very concerned. Against this background, I set out to examine the contributions of various dimensions of the PRC's changing WAPS and its impact on economic growth. I show that between 1982 and 2015 the increase in WAPS was offset by a decline in the labor force participation rate, resulting in a very limited increase in the quantity of the labor supply. I then estimate the association between regional variations in economic growth and changes in factors such as population size, WAPS, migration, and education. The results lend little support to the view that an expanding WAPS played a major role in the PRC's economic growth over this period.