Analysis of green technology usage and inequality reduction related to climate change adaptation

Hyun No Kim

Article ID: 8470
Vol 8, Issue 10, 2024

VIEWS - 11 (Abstract) 1 (PDF)

Abstract


The purpose of this study is to analyze issues related to the use of green technology and to provide a theoretical basis for how the application of green technology in agriculture can reduce inequality. Additionally, the study aims to explore policy alternatives based on the analysis of inequality reduction issues through farmer surveys. For this purpose, this study used survey data to analyze farmers’ perceptions, acceptance status, willingness to accept green technology, and perceptions of inequality. The quantitative analysis was performed to analyze the relationship between the acceptance of green technology and perceptions of inequality. The results confirmed that access to information, perception of climate change, and awareness of the need to reduce greenhouse gas emissions are major factors. In particular, the higher the satisfaction with policies regarding the introduction of green technology, the lower the perception of inequality. Specifically, the acceptance of green technology showed a significant positive correlation with access to information, perception of climate change, and awareness of the need to reduce greenhouse gas emissions, while perceptions of inequality showed a significant negative correlation with policy satisfaction. In conclusion, green technology in agriculture is vital for reducing climate change damage and inequality. However, targeted policy support for small-scale farmers is essential for successful adoption. This study provides policy implications related to the application of green technology in the agricultural sector, which can promote sustainable agricultural development.


Keywords


green technology; climate change; inequality reduction; low-carbon agriculture; policy support

Full Text:

PDF


References


Abbass, K., Qasim, M. Z., Song, H., et al. (2022). A review of the global climate change impacts, adaptation, and sustainable mitigation measures. Environmental Science and Pollution Research, 29(28), 42539–42559. https://doi.org/10.1007/s11356-022-19718-6

Ahmed, S. A., Diffenbaugh, N. S., & Hertel, T. W. (2009). Climate volatility deepens poverty vulnerability in developing countries. Environmental Research Letters, 4(3), 034004. https://doi.org/10.1088/1748-9326/4/3/034004

Dell, M., Jones, B. F., & Olken, B. A. (2014). What Do We Learn from the Weather? The New Climate-Economy Literature. Journal of Economic Literature, 52(3), 740–798. https://doi.org/10.1257/jel.52.3.740

FAO. (2021). Emissions due to agriculture. Rome.

FAO. (2023). The Impact of Disasters on Agriculture and Food Security 2023—Avoiding and reducing losses through investment in resilience. Rome.

Government of the Republic of Korea. (2021). The Republic of Korea’s Enhanced Update of its First Nationally Determined Contribution (NDC). Government of the Republic of Korea.

He, P., Zhang, J., & Li, W. (2021). The role of agricultural green production technologies in improving low-carbon efficiency in China: Necessary but not effective. Journal of Environmental Management, 293, 112837. https://doi.org/10.1016/j.jenvman.2021.112837

Jeong, H. C., Kim, G. H., Lim. Y. S. & Song. Y. M. (2020). Spatial-Based Climate Change Vulnerability Analysis Study for Diagnosis of Climate Justice. Korea Environment Institute.

Kim, S. A. & Moon, S. T. (2013). An Analysis of Factors Influencing on Satisfaction Level of Agricultural and Rural Policies. Journal of Agricultural Extension & Community Development, 20(4), 1105-1147.https://doi.org/10.12653/jecd.2013.20.4.1105

Kwon, O. S. (2020). Environmental Economics, Seoul. Pakyoungsa.

Lee, S. (2019). The economic incentives of achieving the agricultural greenhouse gas mitigation target of the 2030 reduction roadmap of Korea. Journal of Rural Development/Nongchon-Gyeongje, 42(3), 85-112.

Lobell, D. B., Hammer, G. L., McLean, G., et al. (2013). The critical role of extreme heat for maize production in the United States. Nature Climate Change, 3(5), 497–501. https://doi.org/10.1038/nclimate1832

Ministry of Environment. (2021). National Greenhouse Gas Statistics, “Trends in National Greenhouse Gas Emissions by Type”. Available online: https://kosis.kr/statHtml/statHtml.do?orgId=106&tblId=DT_106N_99_2800021&conn_path=I2 (accessed on 29 July 2024).

Wheeler, T., & von Braun, J. (2013). Climate Change Impacts on Global Food Security. Science, 341(6145), 508–513. https://doi.org/10.1126/science.1239402

Wordofa, M. G., Hassen, J. Y., Endris, G. S., et al. (2021). Adoption of improved agricultural technology and its impact on household income: a propensity score matching estimation in eastern Ethiopia. Agriculture & Food Security, 10(1). https://doi.org/10.1186/s40066-020-00278-2




DOI: https://doi.org/10.24294/jipd.v8i10.8470

Refbacks

  • There are currently no refbacks.


Copyright (c) 2024 Hyun No Kim

License URL: https://creativecommons.org/licenses/by/4.0/

This site is licensed under a Creative Commons Attribution 4.0 International License.