http://iet.metastore.ingenta.com
1887

access icon openaccess Effect of demographic structure on resource utilisation using term frequency–inverse document frequency algorithm – evidence from China

  • HTML
    106.833984375Kb
  • PDF
    870.541015625Kb
  • XML
    119.4130859375Kb
Loading full text...

Full text loading...

/deliver/fulltext/joe/2018/16/JOE.2018.8331.html;jsessionid=21n74cd8e0fro.x-iet-live-01?itemId=%2fcontent%2fjournals%2f10.1049%2fjoe.2018.8331&mimeType=html&fmt=ahah

References

    1. 1)
      • 1. Cai, F.: ‘Demographic transition, demographic dividend, and Lewis turning point in China’, Econ. Res. J., 2010, 4, pp. 413.
    2. 2)
      • 2. Modigliani, F., Shi, L.C.: ‘The Chinese saving puzzle and the life-cycle hypothesis’, J. Econ. Lit., 2004, 22, pp. 145170.
    3. 3)
      • 3. Edmund, S.P.: ‘Investment in humans, technological diffusion and economic growth’, Stud. Macroecon. Theory, 1980, 56, pp. 133139.
    4. 4)
      • 4. Paul, M.R.: ‘Increasing return and the long-run growth’, J. Political Econ., 1986, 94, pp. 10021037.
    5. 5)
      • 5. Chen, F.N., Shen, L.: ‘Review of resources economics based on CNKI literatures’, Resour. Sci., 2013, 7, pp. 13391346.
    6. 6)
      • 6. Alexander, V.B., Galina, I.B., Stanislav, S.B.: ‘Resource demand growth and sustainability due to increased world consumption’, Sustainbility, 2015, 7, pp. 34303440.
    7. 7)
      • 7. Gavin, W.: ‘The origins of American industrial success, 1879–1940’, Am. Econ. Rev., 1990, 80, pp. 651668.
    8. 8)
      • 8. David, P., Wright, G.: ‘Increasing returns and the genesis of American resource abundance’, Ind. Corp. Change, 1997, 6, pp. 203245.
    9. 9)
      • 9. Gylfason, T., Zoega, G.: ‘Natural resources and economic growth: the role of investment’, World Econ., 2006, 29, pp. 10911115.
    10. 10)
      • 10. Corden, W.M., Neary, J.P.: ‘Booming sector and de-industrialization in a small open economy’, Econ. J., 1982, 92, pp. 825848.
    11. 11)
      • 11. Gylfason, T.: ‘Natural resources, education and economic development’, Eur. Econ. Rev., 2001, 45, pp. 847859.
    12. 12)
      • 12. Jonathan, I.: ‘The varieties of resource experience: natural resource export structures and the political economy of economic growth’, World. Bank. Econ. Rev., 2005, 19, pp. 141174.
    13. 13)
      • 13. Marcus, J.K., Sarah, M.B.: ‘Conditioning the ‘resource curse’: globalization, human capital, and growth in oil-rich nations’, Comp. Polit. Stud., 2011, 44, (6), pp. 747770.
    14. 14)
      • 14. Tamat, S., Law, S.H., Yaghoob, J.: ‘Resource curse: new evidence on the role of institutions’, Int. Econ. J., 2014, 28, pp. 191206.
    15. 15)
      • 15. Halvor, M., Karl, M., Ragnar, T.: ‘Institutions and the resource curse’, Econ. J., 2006, 116, pp. 120.
    16. 16)
      • 16. Shao, S., Yang, L.L.: ‘Endogenous technological progress and regional economic growth’, Econ. Res. J., 2011, 2, pp. 112123.
    17. 17)
      • 17. Wu, J., Hu, D.W., Wang, M., et al: ‘Analysis of population evolvement and its effects on resource and environment in Shanghai, China’, Popul. Resour. Environ., 2011, 4, pp. 164168.
    18. 18)
      • 18. Ren, C.F., Guo, P., Li, M., et al: ‘An innovative method for water resources carrying capacity research – metabolic theory of regional water resources’, J. Environ. Manag., 2016, 167, pp. 139146.
    19. 19)
      • 19. Wang, R., Cheng, J.H., Zhu, Y.L., et al: ‘Research on diversity of mineral resources carrying capacity in Chinese mining cities’, Resour. Policy, 2016, 47, pp. 108114.
    20. 20)
      • 20. Iratxe, C., Olivier, P., Franck, V.: ‘Common patrimony: a concept to analyze collective natural resource management- the case of water management in France’, Ecol. Modell, 2017, 137, pp. 126132.
    21. 21)
      • 21. Ren, C.F., Li, R.H., Guo, P.: ‘Two-stage DEA analysis of water resource use’, Sustainability, 2017, 9, p. 52.
    22. 22)
      • 22. Hasbagen Li, B.S., Bao, Y.: ‘Theoretical model and empirical researches of regional land carrying capacity’, Sci. Geogr. Sin., 2008, 2, pp. 189194.
    23. 23)
      • 23. Lakshitha, D., Gamini, D., Ravindra, R.: ‘C-LOG: A chamfer distance based algorithm for localisation in occupancy grid-maps’, CAAI Trans. Intell. Technol., 2016, 1, pp. 272284.
    24. 24)
      • 24. Li, Z., Feng, Q., Chen, W., et al: ‘RPK-table based efficient algorithm for join-aggregate query on MapReduce’, CAAI Trans. Intell. Technol., 2016, 1, pp. 7989.
    25. 25)
      • 25. Donald, J.L., Nyakundi, M.M., Tesfa, G.: ‘A Bayesian spatial econometric analysis of SNAP participation rates in Appalachia’, J. Reg. Anal. Policy, 2012, 42, pp. 198209.
    26. 26)
      • 26. Anselin, L.: ‘Spatial econometrics: methods and models’ (Kluwer Aeademie Publishers, Dordereht, Netherlands, 1988).
    27. 27)
      • 27. Anselin, L., Bera, A.: ‘Spatial dependence in linear regression models with an introduction to spatial econometrics’ (Handbook of Applied Economic Statistics, Marcel Dekker, New York, United States of America, 1988).
    28. 28)
      • 28. Shan, H.J.: ‘Estimating the capital stock of China: 1952–2006’, J. Quant. Tech. Econ., 2008, 10, pp. 1731.
http://iet.metastore.ingenta.com/content/journals/10.1049/joe.2018.8331
Loading

Related content

content/journals/10.1049/joe.2018.8331
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading
This is a required field
Please enter a valid email address