Low fertility and population aging are important factors affecting economic and social development.From 2000 to 2020,the development of low fertility in ethnic minority areas shows three trends of accelerated declinin...Low fertility and population aging are important factors affecting economic and social development.From 2000 to 2020,the development of low fertility in ethnic minority areas shows three trends of accelerated declining,slow declining and first falling and then rising,which are the results of the balance between the inhibiting effect of controlling birth policy and the rapidly rising birth cost,and the promoting effect of encouraging birth policy on the fertility desire of social members.The development of aging in ethnic minority areas shows two trends of acceleration and deceleration,which are the results of the balance between the promoting effect of controlling birth policy,the outflow of young and middle-aged labor force and the rise of life expectancy,and the inhibiting effect of the encouraging birth policy,the restraint of talent return and talent introduction.Combined with the development degree of low fertility and aging,we can accurately classify and implement policies for different ethnic minority areas.The areas with serious low fertility and population aging problems need economic policies to change the population age structure as soon as possible.The areas with slight low fertility and population aging problems should carry out ideological policies in priority to maintain the benign structure of population age.展开更多
To explore genetically the origin, migration and relationship of the Zhuang people in Guangxi province with the main surrounding Chinese and the ethnic groups in Southeast Asia, the distributions of the HLA-DRB1 locus...To explore genetically the origin, migration and relationship of the Zhuang people in Guangxi province with the main surrounding Chinese and the ethnic groups in Southeast Asia, the distributions of the HLA-DRB1 locus among the populations in these regions were genotyped by polymerase chain reaction—sequence specific primer (PCR-SSP) technique among 265, healthy, randomly selected and unrelated Zhuang adults, aged 17-32, whose families had lived in Guangxi province for more than 3 generations. Every allelic frequency was comparatively analyzed with that of some main Chinese and Southeast Asia populations. It was found that 13 HLA-DRB1 alleles were detected among these 265 selected individuals, but other 13 alleles failed to be discovered by using the 23 pairs of primers designed in the present study. The most common alleles were HLA-DRB1*1501, HLA-DRB1*1601/2 and HLA-DRB1*1401/4 with the allele frequencies of 0.291, 0.198 and 0.106 respectively. Although alleles of HLA-DR1*0701/2, HLA-DRB1*08 and HLA-DRB1*1306/1406 could be detected also, but their frequencies were rather very low. The overall allele distribution profile on HLA-DRB1 of Zhuangs was much closed dramatically to those of Buyis, Northeast Thais, Dai Lues, Southern Hans and Singapore Chinese, but was more far away from that of northern Hans and Hanai Kinhs, as compared to the representative ethnic groups in Southeast Asia. In addition, the blank of HLA-DRB1*1502 was a characteristic allele for Zhuangs was commonly detected in Southeast Asia, especially in Thais. It is concluded that a very close genetic relationship exists between Zhuangs and Buyis on the basis of their extremely similar background on HLA-DRB1 locus.展开更多
Jeneberang watershed is vital,particularly for people living in Gowa Regency(South Sulawesi Province,Indonesia),who benefit from its many advantages.Landslides and floods occur every year in the Jeneberang watershed,s...Jeneberang watershed is vital,particularly for people living in Gowa Regency(South Sulawesi Province,Indonesia),who benefit from its many advantages.Landslides and floods occur every year in the Jeneberang watershed,so it is imperative to understand the socio-economic vulnerability of this region.This research aims to identify the vulnerability level of the Jeneberang watershed so that the government can prioritize areas with high vulnerability level and formulate effective strategies to reduce these the vulnerability.Specifically,this study was conducted in 12 districts located in the Jeneberang watershed.The primary data were collected from questionnaires completed by community members,community leaders,and various stakeholders,and the secondary data were from the Landsat satellite imagery in 2020,the Badan Push Statistic of Gowa Regency,and some governmental agencies.The socio-economic vulnerability variables were determined using the Multiple Criteria Decision Analysis(MCDA)method,and each variable was weighted and analyzed using the Geographical Information System(GIS).The study reveals that the levels of socio-economic vulnerability are affected by variables such as population density,vulnerable groups(disabled people,elderly people,and young people),road network and settlement,percentage of poor people,and productive land area in the Jeneberang watershed.Moreover,all of the 12 districts in the Jeneberang watershed are included in the medium vulnerability level,with the mean percentage of socio-economic vulnerability around 50.92%.The socio-economic vulnerability of Bajeng,Pallangga,and Somba Opu districts is categorized at high level,the socio-economic vulnerability of Bungaya,Parangloe,and Tombolo Pao districts is classified as medium level,and the remaining 6 districts(Barombong,Bontolempangan,Bontomarannu,Manuju,Parigi,and Tinggimoncong)are ranked as low socio-economic vulnerability.This study can help policy-makers to formulate strategy that contributes to the protection of biodiversity and sustainable development of the Jeneberang watershed,while improving disaster resilience and preparedness of the watershed.展开更多
We analyzed the two hypervariable segments HVS-I and HVS-II of 108 Chinese Tu ethnic minority group samples for forensic and population genetics purposes, Comparing with Anderson sequence, 79 polymorphic loci in HVS-I...We analyzed the two hypervariable segments HVS-I and HVS-II of 108 Chinese Tu ethnic minority group samples for forensic and population genetics purposes, Comparing with Anderson sequence, 79 polymorphic loci in HVS-I and 40 in HVS-II were found in Chinese Tu ethnic minority group mtDNA sequences, and 90 and 64 haplotypes were then defined. Haplotype diversity and the mean pairwise differences were 0.9903±0.0013 and 5.7785 in HVS-I, and 0.9777±0.0013 and 3.5819 in HVS-II, respectively. By analyzing the hypervariable domain from nucleotide 1,6180 to 1,6193 in HVS-I, we defined some new types of sequence variations. We also compared the relationship between Tu population and other populations using mtDNA HVS-I sequences. According to Rst genetic distances, the phylogenetic tree showed that the Tu population, the Xi'an Han population, the Chinese Korean, and the Mongol ethnic group were in a clade. This indicated a close genetic relationship between them. There were far relations between the Tu population and other Chinese southern Han populations, Siberian, European, African, and other foreign populations. The results suggest that Tu population has a multi-origin and has also merged with other local populations.展开更多
Taking Ningxia Hui Autonomous Region as an example, this research makes an empirical analysis on the factors influencing the migration activities of the research subject: the southern mountainous farmers who don't...Taking Ningxia Hui Autonomous Region as an example, this research makes an empirical analysis on the factors influencing the migration activities of the research subject: the southern mountainous farmers who don't emigrate and the farmers who immigrated in Hongsibao Development Zone. With Probit Model, the research shows that the age, educational degree, farming land per capita, number of school-aged children, vocational training experience and the quantity of gained information are all the factors which influence the farmers' emigration choice. However, the influential strength of the factors is different. The research aims to provide the government with more scientific evidences for its policies of promoting ecological migration and to encourage more poverty families to immigrate into the areas suitable for living.展开更多
Through the sample investigation of Kangding County, Daofu County, Luhuo County and Xiangcheng County in Sichuan Province in 2010 and by combining the quantitative and qualitative methods, various kinds of indexes fro...Through the sample investigation of Kangding County, Daofu County, Luhuo County and Xiangcheng County in Sichuan Province in 2010 and by combining the quantitative and qualitative methods, various kinds of indexes from the aspects of society, politics, economy and values in Ganzi District are analyzed, as well as the factors that affect the rural social stability of current Ganzi District area. The results show that rural areas of Ganzi District are stable on the whole, but the economic development level is backward; the social security measures are imperfect; disputes among rural residents still exist and most of them are economic disputes; the disputes among ethnics are mainly caused by religious belief; the autonomous situation of partial rural residents are bad and rural residents' evaluation on social justice is low. Therefore, it should establish and perfect relevant prevention and control mechanism.展开更多
基金supported by the Youth Project of Beijing Academy of Social Sciences(GrantNo.2022B6949)supported the project of Shanxi Academy of Education Sciences(Grant No.GH-21117)。
文摘Low fertility and population aging are important factors affecting economic and social development.From 2000 to 2020,the development of low fertility in ethnic minority areas shows three trends of accelerated declining,slow declining and first falling and then rising,which are the results of the balance between the inhibiting effect of controlling birth policy and the rapidly rising birth cost,and the promoting effect of encouraging birth policy on the fertility desire of social members.The development of aging in ethnic minority areas shows two trends of acceleration and deceleration,which are the results of the balance between the promoting effect of controlling birth policy,the outflow of young and middle-aged labor force and the rise of life expectancy,and the inhibiting effect of the encouraging birth policy,the restraint of talent return and talent introduction.Combined with the development degree of low fertility and aging,we can accurately classify and implement policies for different ethnic minority areas.The areas with serious low fertility and population aging problems need economic policies to change the population age structure as soon as possible.The areas with slight low fertility and population aging problems should carry out ideological policies in priority to maintain the benign structure of population age.
基金This research was supported by grants from the National Natural Science Foundation of China (No. 39460075) and Guangxi Science Foundation (No.0339041)
文摘To explore genetically the origin, migration and relationship of the Zhuang people in Guangxi province with the main surrounding Chinese and the ethnic groups in Southeast Asia, the distributions of the HLA-DRB1 locus among the populations in these regions were genotyped by polymerase chain reaction—sequence specific primer (PCR-SSP) technique among 265, healthy, randomly selected and unrelated Zhuang adults, aged 17-32, whose families had lived in Guangxi province for more than 3 generations. Every allelic frequency was comparatively analyzed with that of some main Chinese and Southeast Asia populations. It was found that 13 HLA-DRB1 alleles were detected among these 265 selected individuals, but other 13 alleles failed to be discovered by using the 23 pairs of primers designed in the present study. The most common alleles were HLA-DRB1*1501, HLA-DRB1*1601/2 and HLA-DRB1*1401/4 with the allele frequencies of 0.291, 0.198 and 0.106 respectively. Although alleles of HLA-DR1*0701/2, HLA-DRB1*08 and HLA-DRB1*1306/1406 could be detected also, but their frequencies were rather very low. The overall allele distribution profile on HLA-DRB1 of Zhuangs was much closed dramatically to those of Buyis, Northeast Thais, Dai Lues, Southern Hans and Singapore Chinese, but was more far away from that of northern Hans and Hanai Kinhs, as compared to the representative ethnic groups in Southeast Asia. In addition, the blank of HLA-DRB1*1502 was a characteristic allele for Zhuangs was commonly detected in Southeast Asia, especially in Thais. It is concluded that a very close genetic relationship exists between Zhuangs and Buyis on the basis of their extremely similar background on HLA-DRB1 locus.
基金supported by the Ministry of Finance of the Republic of Indonesia that provides Beasiswa Unggulan Dosen Indonesia (BUDI) scholarships through the Financial Fund Management Institution。
文摘Jeneberang watershed is vital,particularly for people living in Gowa Regency(South Sulawesi Province,Indonesia),who benefit from its many advantages.Landslides and floods occur every year in the Jeneberang watershed,so it is imperative to understand the socio-economic vulnerability of this region.This research aims to identify the vulnerability level of the Jeneberang watershed so that the government can prioritize areas with high vulnerability level and formulate effective strategies to reduce these the vulnerability.Specifically,this study was conducted in 12 districts located in the Jeneberang watershed.The primary data were collected from questionnaires completed by community members,community leaders,and various stakeholders,and the secondary data were from the Landsat satellite imagery in 2020,the Badan Push Statistic of Gowa Regency,and some governmental agencies.The socio-economic vulnerability variables were determined using the Multiple Criteria Decision Analysis(MCDA)method,and each variable was weighted and analyzed using the Geographical Information System(GIS).The study reveals that the levels of socio-economic vulnerability are affected by variables such as population density,vulnerable groups(disabled people,elderly people,and young people),road network and settlement,percentage of poor people,and productive land area in the Jeneberang watershed.Moreover,all of the 12 districts in the Jeneberang watershed are included in the medium vulnerability level,with the mean percentage of socio-economic vulnerability around 50.92%.The socio-economic vulnerability of Bajeng,Pallangga,and Somba Opu districts is categorized at high level,the socio-economic vulnerability of Bungaya,Parangloe,and Tombolo Pao districts is classified as medium level,and the remaining 6 districts(Barombong,Bontolempangan,Bontomarannu,Manuju,Parigi,and Tinggimoncong)are ranked as low socio-economic vulnerability.This study can help policy-makers to formulate strategy that contributes to the protection of biodiversity and sustainable development of the Jeneberang watershed,while improving disaster resilience and preparedness of the watershed.
文摘We analyzed the two hypervariable segments HVS-I and HVS-II of 108 Chinese Tu ethnic minority group samples for forensic and population genetics purposes, Comparing with Anderson sequence, 79 polymorphic loci in HVS-I and 40 in HVS-II were found in Chinese Tu ethnic minority group mtDNA sequences, and 90 and 64 haplotypes were then defined. Haplotype diversity and the mean pairwise differences were 0.9903±0.0013 and 5.7785 in HVS-I, and 0.9777±0.0013 and 3.5819 in HVS-II, respectively. By analyzing the hypervariable domain from nucleotide 1,6180 to 1,6193 in HVS-I, we defined some new types of sequence variations. We also compared the relationship between Tu population and other populations using mtDNA HVS-I sequences. According to Rst genetic distances, the phylogenetic tree showed that the Tu population, the Xi'an Han population, the Chinese Korean, and the Mongol ethnic group were in a clade. This indicated a close genetic relationship between them. There were far relations between the Tu population and other Chinese southern Han populations, Siberian, European, African, and other foreign populations. The results suggest that Tu population has a multi-origin and has also merged with other local populations.
基金supported by National Natural Science Fundation of China (Grant No.70763008)
文摘Taking Ningxia Hui Autonomous Region as an example, this research makes an empirical analysis on the factors influencing the migration activities of the research subject: the southern mountainous farmers who don't emigrate and the farmers who immigrated in Hongsibao Development Zone. With Probit Model, the research shows that the age, educational degree, farming land per capita, number of school-aged children, vocational training experience and the quantity of gained information are all the factors which influence the farmers' emigration choice. However, the influential strength of the factors is different. The research aims to provide the government with more scientific evidences for its policies of promoting ecological migration and to encourage more poverty families to immigrate into the areas suitable for living.
基金Supported by 2010 Scientific Research for University Students in Sichuan Agricultural University
文摘Through the sample investigation of Kangding County, Daofu County, Luhuo County and Xiangcheng County in Sichuan Province in 2010 and by combining the quantitative and qualitative methods, various kinds of indexes from the aspects of society, politics, economy and values in Ganzi District are analyzed, as well as the factors that affect the rural social stability of current Ganzi District area. The results show that rural areas of Ganzi District are stable on the whole, but the economic development level is backward; the social security measures are imperfect; disputes among rural residents still exist and most of them are economic disputes; the disputes among ethnics are mainly caused by religious belief; the autonomous situation of partial rural residents are bad and rural residents' evaluation on social justice is low. Therefore, it should establish and perfect relevant prevention and control mechanism.