<|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:"Demographic change and income tax revenues - results from a large microsimulation model for Germany."
Abstract:"Similarly to many other European countries, Germany has experienced a considerable demographic shift since the 1970s: higher life expectancy and diminishing birth rates, only partly balanced by immigration, have led to an altered population structure with an increasing share of elderly people. In the next decades, population aging in Germany will accelerate and also induce a decline of the total population. These demographic changes can be expected to have a profound impact on the governmental budget. While shifts in public expenditures have been forecasted regularly since 2005, the revenue side has received less attention to date. We study the long-term (2015?2060) shifts in income tax revenues induced by demographic change. Our aim is to quantify possible fiscal effects of demographic change using microsimulation and to identify elements of the income tax code particularly affected. We find the expected demographic changes to have a clear negative impact on income tax revenues. Population aging increases the impact of various deductibility rules on total income tax revenues, in particular the impact of the deductibility of old-age and health insurance provisions. The impact of the deductibility of exceptional expenses such as expenses for caregiving also increases, but remains small overall. Due to expected increases in real incomes, however, demographic change does not imply an absolute drop in income tax revenues in the next decades.."
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 = [];
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Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:

Demographic change and income tax revenues - results from a large microsimulation model for Germany
Similarly to many other European countries, Germany has experienced a considerable demographic shift since the 1970s: higher life expectancy and diminishing birth rates, only partly balanced by immigration, have led to an altered population structure with an increasing share of elderly people. In the next decades, population aging in Germany will accelerate and also induce a decline of the total population. These demographic changes can be expected to have a profound impact on the governmental budget. While shifts in public expenditures have been forecasted regularly since 2005, the revenue side has received less attention to date. We study the long-term (2015?2060) shifts in income tax revenues induced by demographic change. Our aim is to quantify possible fiscal effects of demographic change using microsimulation and to identify elements of the income tax code particularly affected. We find the expected demographic changes to have a clear negative impact on income tax revenues. Population aging increases the impact of various deductibility rules on total income tax revenues, in particular the impact of the deductibility of old-age and health insurance provisions. The impact of the deductibility of exceptional expenses such as expenses for caregiving also increases, but remains small overall. Due to expected increases in real incomes, however, demographic change does not imply an absolute drop in income tax revenues in the next decades.