[
Akther, T., Voumik, L.C., Rahman, M.H. (2022), The pattern of international trade between Bangladesh and USA: Heckscher-Ohlin and Rybczynski analysis. Modern Supply Chain Research and Applications, 4(3), 162–176. DOI: 10.1108/MSCRA-03-2022-0011.
]Search in Google Scholar
[
Bai, J., Ng, S. (2004). A panic attack on unit roots and cointegration. Econometrica, 72 (4), 1127–1177. Retreved from https://www.jstor.org/stable/3598781.
]Search in Google Scholar
[
Bai, J., Ng, S. (2010). Panel unit root tests with cross-section dependence: A further investigation. Econometric Theory, 26(4), 1088–1114. Retreved from https://www.jstor.org/stable/40800875.
]Search in Google Scholar
[
Balogh, J.M., Jámbor, A. (2020). The environmental impacts of agricultural trade: A systematic literature review. Sustainability, 12(3), 1152. DOIO: 10.3390/su12031152.
]Search in Google Scholar
[
Bersvendsen, T., Ditzen, J. (2021). Testing for slope heterogeneity in Stata. The Stata Journal, 21(1), 51–80. DOI: 10.1177/1536867X211000004.
]Search in Google Scholar
[
Binswanger, H.P., Deininger, K., Feder, G. (1995). Power, distortions, revolt and reform in agricultural land relations. Handbook of development economics, 3, 2659–2772. DOI: 10.1016/S1573-4471(95)30019-8.
]Search in Google Scholar
[
Bojnec, Š. (2013). Land endowments and land market policies in Croatia, FYR of Macedonia, and Turkey. Bulgarian Journal of Agricultural Science, 19(3), 387–397.
]Search in Google Scholar
[
Bojnec, Š., Latruffe, L. (2013). Farm size, agricultural subsidies and farm performance in Slovenia. Land Use Policy, 32, 207–217. DOI: 10.1016/j.landusepol.2012.09.016.
]Search in Google Scholar
[
Burdisso, T., Sangiácomo, M. (2016). Panel time series: Review of the methodological evolution. The Stata Journal, 16(2), 424–44. DOI: 10.1177/1536867X1601600210.
]Search in Google Scholar
[
Carrara, A.F., Pesquero, T.L. (2022). The Export of Commodities and the Validity of the Export-Led Growth (ELG) Hypothesis for the Brazilian Economy: An Analysis of the Commodity Boom Period. Journal of Time Series Econometrics, 14(1), 87–106. DOI: 10.1515/jtse-2020-0034.
]Search in Google Scholar
[
Carter, M.R. (1984). Identification of the Inverse Relationship between Farm Size and Productivity: An Empirical Analysis of Peasant Agricultural Production. Oxford Economic Papers, 36, 131–145. Retreved from https://www.jstor.org/stable/2662637.
]Search in Google Scholar
[
Chand, R., Prasanna, P.L., Singh, A. (2011). Farm size and productivity: Understanding the strengths of smallholders and improving their livelihoods. Economic and Political Weekly, 5–11. Retreved from https://www.jstor.org/stable/23018813.
]Search in Google Scholar
[
Choi, S.M., Kim, H., Ma, X. (2021). Trade, structural transformation and growth. The World Economy, 44(6), 1770–1794. DOI: 10.1111/twec.13043.
]Search in Google Scholar
[
De Hoyos, R.E., Sarafidis, V. (2006). Testing for cross-sectional dependence in panel-data models. The Stata Journal, 6(4), 482–496. DOI: 10.1177/1536867X0600600.
]Search in Google Scholar
[
De Maria, M. (2019). Understanding land in the context of large-scale land acquisitions: A brief history of land in economics. Land, 8(1), 15. DOI: 10.3390/land8010015.
]Search in Google Scholar
[
Devadoss, S., Ugwuanyi, B., Ridley, W. (2022). Determinants of international trade in agriculture. Journal of Agricultural and Resource Economics, 47(3), 598–615. DOI: 10.22004/ag.econ.313317.
]Search in Google Scholar
[
Dorward, A. (1999). Farm size and productivity in Malawian smallholder agriculture. The Journal of Development Studies, 35(5), 141–161. DOI: 10.1080/00220389908422595.
]Search in Google Scholar
[
Dumitrescu, E.I., Hurlin, C. (2012). Testing for Granger non-causality in heterogeneous panels. Economic Modelling, 29(4), 1450–1460. DOI: 10.1016/j.econmod.2012.02.014.
]Search in Google Scholar
[
Eastwood, R., Lipton, M., Newell, A. (2010). Farm size. Handbook of agricultural economics, 4, 3323–3397. DOI: 10.1016/S1574-0072(09)04065-1.
]Search in Google Scholar
[
Fan, S., Chan‐Kang, C. (2005). Is small beautiful? Farm size, productivity, and poverty in Asian agriculture. Agricultural Economics, 32, 135–146. DOI: 10.1111/j.0169-5150.2004.00019.x.
]Search in Google Scholar
[
FAO (2020). World food and agriculture – statistical yearbook 2020. World Food and Agriculture-Statistical Yearbook.
]Search in Google Scholar
[
Frees, E.W. (1995). Assessing cross-sectional correlation in panel data. Journal of Econometrics, 69(2), 393–414. DOI: 10.1016/0304-4076(94)01658-M.
]Search in Google Scholar
[
Friedman, M. (1937). The use of ranks to avoid the assumption of normality implicit in the analysis of variance. Journal of the American Statistical Association, 32(200).
]Search in Google Scholar
[
Granger, C.W.J. (1969). Investigating causal relations by econometric models and cross-spectral methods. Econometrica, 37(3), 424–438. DOI: 10.2307/1912791.
]Search in Google Scholar
[
Grzelak, A., Guth, M., Matuszczak, A., Czyżewski, B., Brelik, A. (2019). Approaching the environmental sustainable value in agriculture: How factor endowments foster the eco-efficiency. Journal of Cleaner Production, 241, 118304. DOI: 10.1016/j.jclepro.2019.118304.
]Search in Google Scholar
[
Hamulczuk, M., Makarchuk, O., Sica, E. (2019). Searching for market integration: Evidence from Ukrainian and European Union rapeseed markets. Land Use Policy, 87, 104078. DOI: 10.1016/j.landusepol.2019.104078.
]Search in Google Scholar
[
Hill, C.R., Griffiths, W.E., Lim, G.C. (2011). Principles of econometrics. Wiley.
]Search in Google Scholar
[
Hoechle, D. (2007). Robust standard errors for panel regressions with cross-sectional dependence. The Stata Journal, 7(3), 281–312. DOI: 10.1177/1536867X0700700301.
]Search in Google Scholar
[
Huo, D. (2014). Impact of country-level factors on export competitiveness of agriculture industry from emerging markets. Competitiveness Review. DOI: 10.1108/CR-01-2012-0002.
]Search in Google Scholar
[
Hurlin, C., Mignon, V. (2007). Second generation panel unit root tests. Kennedy, P. (2008). A guide to econometrics. John Wiley & Sons.
]Search in Google Scholar
[
Leontief, W. (1953). Domestic production and foreign trade; The American capital position reexamined. Proceedings of the American Philosophical Society, 97(4), 332–349. Retrieved from https://www.jstor.org/stable/3149288.
]Search in Google Scholar
[
Li, X. (2012). Technology, factor endowments, and China’s agricultural foreign trade: A neoclassical approach. China Agricultural Economic Review. DOI: 10.1108/17561371211196801.
]Search in Google Scholar
[
Lipton, M. (1993). Land Reform as Commenced Business: The Evidence against Stopping. World Development 21, 4, 641–657. DOI: 10.1016/0305-750X(93)90116-Q.
]Search in Google Scholar
[
Lopez, L., Weber, S. (2017). Testing for Granger causality in panel data. The Stata Journal, 17(4), 972–984.
]Search in Google Scholar
[
Maravall, L. (2020). Factor endowments on the ‘frontier’: Algerian settler agriculture at the beginning of the 1900s. The Economic History Review, 73(3), 758–784. DOI: 10.1111/ehr.12882.
]Search in Google Scholar
[
Maslak, N., Lei, Z., Xu, L. (2020). Analysis of agricultural trade in China based on the theory of factor endowment. Agricultural and Resource Economics: International Scientific EJournal, 6(1868-2020-929), 50–61. DOI: 10.51599/are.2020.06.01.04.
]Search in Google Scholar
[
McMillan, M., Rodrik, D., Verduzco-Gallo, Í. (2014). Globalization, structural change, and productivity growth, with an update on Africa. World Development, 63, 11–32. DOI: 10.1016/j.worlddev.2013.10.012.
]Search in Google Scholar
[
Mkuna, E. (2022). Determinants of horticultural export and welfare impact of smallholder farmers: evidence from common beans (Phaseolus vulgaris L) farming in Arusha Tanzania. In: Trade and Investment in East Africa: Prospects, Challenges and Pathways to Sustainability (pp. 267–292). Singapore: Springer Nature Singapore. DOI: 10.1007/978-981-19-4211-2_12.
]Search in Google Scholar
[
Noack, F., Larsen, A. (2019). The contrasting effects of farm size on farm incomes and food production. Environmental Research Letters, 14(8), 084024. DOI:10.1088/1748-9326/ab-2dbf.
]Search in Google Scholar
[
Norbu, N.P., Tateno, Y., Bolesta, A. (2021). Structural transformation and production linkages in Asia-Pacific least developed countries: An input-output analysis. Structural Change and Economic Dynamics, 59, 510–524. DOI: 10.1016/j.strueco.2021.09.009.
]Search in Google Scholar
[
Paramati, S.R., Apergis, N., Ummalla, M. (2017). Financing clean energy projects through domestic and foreign capital: The role of political cooperation among the EU, the G20 and OECD countries. Energy Economics, 61, 62–71. DOI: 10.1016/j.eneco.2016.11.001.
]Search in Google Scholar
[
Paramati, S.R., Ummalla, M., Apergis, N. (2016). The effect of foreign direct investment and stock market growth on clean energy use across a panel of emerging market economies. Energy Economics, 56, 29–41. DOI: 10.1016/j.eneco.2016.02.008.
]Search in Google Scholar
[
Pesaran, M.H. (2004). General diagnostic tests for cross section dependence in panels. The Institute for the Study of Labor (IZA).
]Search in Google Scholar
[
Pesaran, M.H. (2007). A simple panel unit root test in the presence of cross-section dependence. Journal of Applied Econometrics, 22(2), 265–312. DOI: 10.1002/jae.951.
]Search in Google Scholar
[
Pesaran, M.H., Yamagata, T. (2008). Testing slope homogeneity in large panels. Journal of econometrics, 142(1), 50–93. DOI: 10.1016/j.jeconom.2007.05.010.
]Search in Google Scholar
[
Reese, S., Westerlund, J. (2016). Panicca: Panic on cross‐section averages. Journal of Applied Econometrics, 31(6), 961–981. DOI: 10.1002/jae.2487.
]Search in Google Scholar
[
Ricardo, D. [1819] (1951). Principles of political economy and taxation. Cambridge: Cambridge University Press.
]Search in Google Scholar
[
Salahuddin, M., Alam, K., Ozturk, I. (2016). The effects of internet usage and economic growth on CO2 emissions in OECD countries: A panel investigation. Renewable and Sustainable Energy Reviews, 62, 1226–1235. DOI: 10.1016/j.rser.2016.04.018.
]Search in Google Scholar
[
Savastano, S., Scandizzo, P.L. (2017). Farm size and productivity: A “Direct-Inverse-Direct” relationship. The World Bank.
]Search in Google Scholar
[
Sen, A.K. (1962). An Aspect of Indian Agriculture. Economic Weekly 14(4–6), 243–246.
]Search in Google Scholar
[
Smith, A. [1776] (1937). The wealth of nations. New York: Random House.
]Search in Google Scholar
[
Song, J., Peng, R., Qian, L., Yan, F., Ozturk, I., Fahad, S. (2022). Households production factor mismatches and relative poverty nexus: a novel approach. Pol J Environ Stud, 10. DOI: 10.15244/pjoes/146987.
]Search in Google Scholar
[
Srinivasan, T.N. (1972). Farm size and productivity implications of choice under uncertainty.
]Search in Google Scholar
[
Sankhyā: The Indian Journal of Statistics, Series B, 409–420. Retrieved from https://www.jstor.org/stable/25051809.
]Search in Google Scholar
[
Strauss, J., Yigit, T. (2003). Shortfalls of panel unit root testing. Economics Letters, 81(3), 309–313. DOI: 10.1016/S0165-1765(03)00210-6.
]Search in Google Scholar
[
Toyin, M.E. (2016). Causality relationship between agricultural exports and economic growth: Evidence from South Africa. Journal of Social Sciences, 48(1–2), 129–136. DOI: 10.1080/09718923.2016.11893577.
]Search in Google Scholar
[
Vanek, J. (1959). The Natural Resource Content of Foreign Trade, 1870–1955, and the Relative Abundance of Natural Resources in the United States. The Review of Economics and Statistics, 41(2), 146–153. DOI: 10.2307/1927796.
]Search in Google Scholar
[
Verter, N. (2015). The application of international trade theories to agriculture. Mediterranean Journal of Social Sciences, 6(6 S4), 209–219. DOI: 10.5901/mjss.2015.v6n6s4p209.
]Search in Google Scholar
[
Viana, C.M., Freire, D., Abrantes, P., Rocha, J., Pereira, P. (2022). Agricultural land systems importance for supporting food security and sustainable development goals: A systematic review. Science of The Total Environment, 806, 150718. DOI: 10.1016/j.scitotenv. 2021.150718.
]Search in Google Scholar
[
Ya, Z., Pei, K. (2022). Factors Influencing Agricultural Products Trade between China and Africa. Sustainability, 14(9), 5589. DOI: 10.3390/su14095589.
]Search in Google Scholar
[
Zhang, D., Sun, Z. (2022). Comparative Advantage of Agricultural Trade in Countries along the Belt and Road and China and Its Dynamic Evolution Characteristics. Foods, 11(21), 3401. DOI: 10.3390/foods11213401.
]Search in Google Scholar
