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The Impact of Informal Learning on Herders’ Operating Income: An Analysis Based on Human Capital Differences

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  • Shijia Cai

    (College of Economics and Management, Inner Mongolia Agricultural University, Hohhot 010010, China
    These authors contributed equally to this work.)

  • Bo Gao

    (College of Economics and Management, Inner Mongolia Agricultural University, Hohhot 010010, China
    These authors contributed equally to this work.)

  • Jie Zhou

    (College of Economics and Management, Inner Mongolia Agricultural University, Hohhot 010010, China)

  • Guanghua Qiao

    (College of Economics and Management, Inner Mongolia Agricultural University, Hohhot 010010, China
    Inner Mongolia Animal Husbandry Economic Research Base, Inner Mongolia Agricultural University, Hohhot 010010, China)

Abstract

Improving the operating income of farmers and herdsmen is an important starting point for achieving common prosperity. As a common form of learning and an important source of skills training, informal learning has a certain impact on the economy and income level of farmers and herdsmen. This paper takes 439 herdsmen in three cities of the Inner Mongolia Autonomous Region as the research object and tries to explore the comprehensive influence, subdivision difference, and mechanism of informal learning on the operating income of herdsmen on the theoretical and empirical levels. The results show that the impact of informal learning on the operating income of herdsmen is “inverted U-shaped”, and there is an informal learning balance point of 2.9776 h, which maximizes the effect of informal learning on the increased operating income of herdsmen. After using the instrumental variable method to deal with endogeneity and conducting robustness tests through winsorizing, quantile regression, and substitution variables, the research conclusions were still valid. Heterogeneity analysis found that informal learning has a significant impact on the increase in operating income of herdsmen in the low human capital group, reflecting the role of “sending charcoal in the snow”. However, it has no significant effect on the increase in operating income of herdsmen in the high human capital group, and the effect of “icing on the cake” is not obvious. In view of this result, government departments should speed up the planning of Internet infrastructure construction in pastoral areas, and accurately push the knowledge and skills needs of herdsmen to help increase the operating income of herdsmen.

Suggested Citation

  • Shijia Cai & Bo Gao & Jie Zhou & Guanghua Qiao, 2023. "The Impact of Informal Learning on Herders’ Operating Income: An Analysis Based on Human Capital Differences," Agriculture, MDPI, vol. 13(8), pages 1-16, August.
  • Handle: RePEc:gam:jagris:v:13:y:2023:i:8:p:1550-:d:1209440
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    References listed on IDEAS

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    1. Nakano, Yuko & Tsusaka, Takuji W. & Aida, Takeshi & Pede, Valerien O., 2018. "Is farmer-to-farmer extension effective? The impact of training on technology adoption and rice farming productivity in Tanzania," World Development, Elsevier, vol. 105(C), pages 336-351.
    2. Khan, Rumman & Morrissey, Oliver, 2023. "Income diversification and household welfare in Uganda 1992–2012," Food Policy, Elsevier, vol. 116(C).
    3. Robinson-Pant, Anna, 2023. "Education for rural development: forty years on," International Journal of Educational Development, Elsevier, vol. 96(C).
    4. Mgendi, By George & Mao, Shiping & Qiao, Fangbin, 2022. "Does agricultural training and demonstration matter in technology adoption? The empirical evidence from small rice farmers in Tanzania," Technology in Society, Elsevier, vol. 70(C).
    5. Davis, Benjamin & Di Giuseppe, Stefania & Zezza, Alberto, 2017. "Are African households (not) leaving agriculture? Patterns of households’ income sources in rural Sub-Saharan Africa," Food Policy, Elsevier, vol. 67(C), pages 153-174.
    6. Ferreira, Maria & de Grip, Andries & van der Velden, Rolf, 2018. "Does informal learning at work differ between temporary and permanent workers? Evidence from 20 OECD countries," Labour Economics, Elsevier, vol. 55(C), pages 18-40.
    7. Zizhong Shi & Junru Li & Xiangdong Hu, 2023. "From Large to Powerful: International Comparison, Challenges and Strategic Choices for China’s Livestock Industry," Agriculture, MDPI, vol. 13(7), pages 1-21, June.
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