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All issues Volume 316 (2021) E3S Web Conf., 316 (2021) 02049 References
Open Access
Issue
E3S Web Conf.
Volume 316, 2021
2nd International Conference on Agribusiness and Rural Development (IConARD 2021)
Article Number 02049
Number of page(s) 15
Section Agricultural Economic
DOI https://doi.org/10.1051/e3sconf/202131602049
Published online 05 November 2021
  1. Cole, S.A. and W. Xiong, Agricultural insurance and economic development. Annual Review of Economics, (2017). 9: p. 235–262. [CrossRef] [Google Scholar]
  2. Galor, O. and Ö. Özak, The Agricultural Origins of Time Preference. American Economic Review, (2016). 106(10): p. 3064–3103. [CrossRef] [PubMed] [Google Scholar]
  3. Kirchner, M., et al., Ecosystem services and economic development in Austrian agricultural landscapes — The impact of policy and climate change scenarios on trade-offs and synergies. Ecological Economics, (2015). 109: p. 161–174. [CrossRef] [Google Scholar]
  4. Schneider, U.A., et al., Impacts of population growth, economic development, and technical change on global food production and consumption. Agricultural Systems, (2011). 104(2): p. 204–215. [CrossRef] [Google Scholar]
  5. Abraham, M. and P. Pingali, Transforming Smallholder Agriculture to Achieve the SDGs, in The Role of Smallholder Farms in Food and Nutrition Security, S. Gomez Y. Paloma, L. Riesgo, and K. Louhichi, Editors. (2020), Springer International Publishing: Cham. p. 173–209. [CrossRef] [Google Scholar]
  6. Solahuddin, S., Pembangunan Pertanian Era Reformasi. Departemen Pertanian, Jakarta, (1999). [Google Scholar]
  7. Sharma, S.K., Indonesia: Product Specific Support to Rice Under WTO, in The WTO and Food Security: Implications for Developing Countries. (2016), Springer Singapore: Singapore. p. 81–91. [CrossRef] [Google Scholar]
  8. Jones, C.I., Paul Romer: Ideas, Nonrivalry, and Endogenous Growth. The Scandinavian Journal of Economics, (2019). 121(3): p. 859–883. [CrossRef] [Google Scholar]
  9. Rangongo, M.F. and C.C. Ngwakwe, Human Capital Investment and Economic Growth: A Test of Endogenous Growth Theory in Two Developing Countries. Acta Universitatis Danubius. Oeconomica, (2019). 15(1). [Google Scholar]
  10. Hunt, S.D., Understanding the Drivers of Economic Growth: Grounding Endogenous Economic Growth Models in Resource-Advantage Theory. Contemporary Economics, (2012). 6(4): p. 4. [CrossRef] [Google Scholar]
  11. Kleyn, J., et al., Preliminary testing of the Cobb-Douglas production function and related inferential issues. Communications in Statistics - Simulation and Computation, (2017). 46(1): p. 469–488. [CrossRef] [Google Scholar]
  12. Bal, D.P.,D.P. Dash, and B. Subhasish, The effects of capital formation on economic growth in India: Evidence from ARDL-bound testing approach. Global Business Review, (2016). 17(6): p. 1388–1400. [CrossRef] [Google Scholar]
  13. Asbahi, A.A.M.H.A., et al., Novel approach of Principal Component Analysis method to assess the national energy performance via Energy Trilemma Index. Energy Reports, (2019). 5: p. 704–713. [CrossRef] [Google Scholar]
  14. Bro, R. and A.K. Smilde, Principal component analysis. Analytical Methods, (2014). 6(9): p. 2812–2831. [CrossRef] [Google Scholar]
  15. Paparoditis, E. and D.N. Politis, The asymptotic size and power of the augmented Dickey-Fuller test for a unit root. Econometric Reviews, (2018). 37(9): p. 955–973. [CrossRef] [Google Scholar]
  16. Vrieze, S.I., Model selection and psychological theory: a discussion of the differences between the Akaike information criterion (AIC) and the Bayesian information criterion (BIC). Psychol Methods, (2012). 17(2): p. 228–43. [CrossRef] [PubMed] [Google Scholar]
  17. Gangopadhyay, P., S. Jain, and A. Suwandaru, What Drives Urbanisation in Modern Cambodia? Some Counter-Intuitive Findings. Sustainability, (2020). 12(24): p. 24. [Google Scholar]
  18. Murthy, V.N.R. and A.A. Okunade, Determinants of U.S. health expenditure: Evidence from autoregressive distributed lag (ARDL) approach to cointegration. Economic Modelling, (2016). 59: p. 67–73. [CrossRef] [Google Scholar]
  19. Mishra, P. and D. Dash, Rejuvenation of biofertilizer for sustainable agriculture and economic development. Consilience, (2014)(11): p. 41–61. [Google Scholar]
  20. Jorgenson, D.W., The role of agriculture in economic development: Classical versus neoclassical models of growth. (2017): Routledge. [Google Scholar]
  21. Jatuporn, C., et al., Does a long-run relationship exist between agriculture and economic growth in Thailand. International Journal of Economics and Finance, (2011). 3(3): p. 227–233. [CrossRef] [Google Scholar]
  22. Dürr, J., The political economy of agriculture for development today: the “small versus large” scale debate revisited. Agricultural Economics, (2016). 47(6): p. 6. [Google Scholar]
  23. Shin, Y., B. Yu, and M. Greenwood-Nimmo, Modelling asymmetric cointegration and dynamic multipliers in a nonlinear ARDL framework, in Festschrift in honor of Peter Schmidt. (2014), Springer. p. 281–314. [CrossRef] [Google Scholar]
  24. Kurniawan, R. and S. Managi, Economic Growth and Sustainable Development in Indonesia: An Assessment. Bulletin of Indonesian Economic Studies, (2018). 54(3): p. 339–361. [CrossRef] [Google Scholar]
  25. Cumming, G.S. and S. von Cramon-Taubadel, Linking economic growth pathways and environmental sustainability by understanding development as alternate social-ecological regimes. Proceedings of the National Academy of Sciences, (2018). 115(38): p. 38. [Google Scholar]
  26. Ahmed, O. and W. Sallam, Studying the volatility effect of agricultural exports on agriculture share of GDP: The case of Egypt. African Journal of Agricultural Research, (2018). 13(8): p. 345–352. [CrossRef] [Google Scholar]
  27. Kanayo, O., The Impact of Human Capital Formation on Economic Growth in Nigeria. Journal of Economics, (2013). 4(2): p. 121–132. [CrossRef] [Google Scholar]
  28. Oded, G., Chapter 5 - Inequality, Human Capital Formation, and the Process of Development, in Handbook of the Economics of Education, E.A. Hanushek, S. Machin, and L. Woessmann, Editors. (2011), Elsevier. p. 441–493. [CrossRef] [Google Scholar]
  29. Adhikary, B.K., FDI, trade openness, capital formation, and economic growth in Bangladesh: a linkage analysis. International Journal of Business and Management, (2011). 6(1): p. 1. [Google Scholar]
  30. Hajamini, M. and M.A. Falahi, Economic growth and government size in developed European countries: A panel threshold approach. Economic Analysis and Policy, (2018). 58: p. 1–13. [CrossRef] [Google Scholar]
  31. Phiri, M.W., The impact of aid on the economic growth of developing countries (LDCs) in Sub-Saharan Africa. Gettysburg Economic Review, (2017). 10(1): p. 1. [Google Scholar]
  32. Pertiwi, K. and S. Ainsworth, “Democracy is the Cure?”: Evolving Constructions of Corruption in Indonesia 1994-2014. Journal of Business Ethics, (2020): p. 1–17. [Google Scholar]
  33. Liu, Y. and F. Dong, Corruption, Economic Development and Haze Pollution: Evidence from 139 Global Countries. Sustainability, (2020). 12(9): p. 9. [Google Scholar]
  34. Saha, S. and M.S. Ben Ali, Corruption and Economic Development: New Evidence from the Middle Eastern and North African Countries. Economic Analysis and Policy, (2017). 54: p. 83–95. [CrossRef] [Google Scholar]
  35. Dornan, M. and J. Pryke, Foreign Aid to the Pacific: Trends and Developments in the Twenty-First Century. Asia & the Pacific Policy Studies, (2017). 4(3): p. 386–404. [CrossRef] [Google Scholar]
  36. Museru, M., F. Toerien, and S. Gossel, The impact of aid and public investment volatility on economic growth in Sub-Saharan Africa. World Development, (2014). 57: p. 138–147. [CrossRef] [Google Scholar]
  37. Hidayat, A. and A. Virgianita, Technical assistance for innovation development from and to developing country: Case study of Indonesia’s foreign aid to Timor-Leste. International Journal of Development Issues, (2019). [Google Scholar]
  38. Cai, F. and Y. Lu, Population Change and Resulting Slowdown in Potential GDP Growth in China. China & World Economy, (2013). 21(2): p. 1–14. [CrossRef] [Google Scholar]
  39. Sharif Shofirun Sharif, A., R. Muhamad Rizal, and A. Awang, The Nexus of Population, GDP Growth, Electricity Generation, Electricity Consumption and Carbon Emissions Output in Malaysia. International Journal of Energy Economics and Policy, (2020). 10(3): p. 84–89. [CrossRef] [Google Scholar]
  40. Asumadu-Sarkodie, S. and P.A. Owusu, A multivariate analysis of carbon dioxide emissions, electricity consumption, economic growth, financial development, industrialization, and urbanization in Senegal. Energy Sources, Part B: Economics, Planning, and Policy, (2017). 12(1): p. 77–84. [CrossRef] [Google Scholar]
  41. Maravelakis, P.E., Measurement error effect on the CUSUM control chart. Journal of Applied Statistics, (2012). 39(2): p. 323–336. [CrossRef] [Google Scholar]
  42. Ali, S., et al., Impact of electricity consumption on economic growth: an application of vector error correction model and artificial neural networks. The Journal of Developing Areas, (2020). 54(4). [CrossRef] [Google Scholar]
  43. Kasim, A., Bureaucratic Reform and Dynamic Governance for Combating Corruption: The Challenge for Indonesia. Bisnis & Birokrasi, (2013). 20(1): p. 18–22. [CrossRef] [Google Scholar]
  44. Prabowo, H.Y., R. Hamdani, and Z. Mohd Sanusi, The new face of people power: an exploratory study on the potential of social media for combating corruption in Indonesia. Australasian Accounting, Business and Finance Journal, (2018). 12(3). [Google Scholar]
  45. Quah, J.S.T., Singapore’s Corrupt Practices Investigation Bureau. Asian Education and Development Studies, (2015). 4(1): p. 76–100. [CrossRef] [Google Scholar]

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