Modelling farmers’ adoption decisions of sustainable agricultural practices under varying agro-ecological conditions: A new perspective

Mgomezulu, Wisdom Richard; Machira, Kennedy; Edriss, Abdi-Khalil; Pangapanga-Phiri, Innocent

doi:10.1016/j.igd.2023.100036

Cited by 34 publications

(19 citation statements)

References 16 publications

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“…Enterprises in heavily polluted areas tend to have sluggish green innovation activities and insufficient application of green technologies in enterprises (Wang, Woodward, & Liu, 2022). The control of pollution will also lead to an increase in the output of green innovation (Mgomezulu et al, 2023; Raihan et al, 2023). For example, air pollution control can significantly promote green technology innovation activities in non‐heavy polluting enterprises (Sun et al, 2022).…”

Section: Theoretical Framework and Hypothesismentioning

confidence: 99%

ESG performance and green innovation: An investigation based on quantile regression

et al. 2023

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Using panel data from 37 countries from 1990 to 2019 and applying a quantile regression approach with panel fixed effects, we investigate the impact of national Environmental, Social, and Governance (ESG) performance on green innovation and how this impact varies across different green innovation capacity distributions. The research conclusions are as follows. (1) National ESG performance improvement significantly promotes green innovation. (2) The improvement of environmental performance and governance performance significantly promotes green innovation, but in countries with weak green innovation capabilities, the improvement of social performance reduces the output of green innovation. (3) The role of national ESG performance in promoting green innovation is stronger in countries with weak green innovation capabilities. (4) In non‐high‐income countries, the stronger the green innovation capability is, the more obvious is the promotion of ESG performance to green innovation. The findings of this paper provide empirical evidence and a policy basis for governments to focus on improving ESG performance and to commit to promoting green innovation activities more effectively.

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Section: Theoretical Framework and Hypothesismentioning

confidence: 99%

ESG performance and green innovation: An investigation based on quantile regression

et al. 2023

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“…Tan et al (2022) found a significant peer effect in promoting corporate green innovation after the implementation of green credit policies, which mainly stems from more investment in clean projects and credit restrictions on polluting projects. Aside from green credit policies, the development of green finance also has a significant impact on green innovation (Li et al, 2023a; Mgomezulu et al, 2023; Li et al, 2023b; Raihan, 2023; Zhongzheng, 2023; Ahuja et al, 2023; Yang and Chen, 2023; Awan and Yaqoob, 2023; Yolcan, 2023). Lee and Lee (2022) explored the effect of green finance on green total factor productivity by introducing a system of green credit, securities, insurance, and investment indicators, noting that the development of green finance has a significantly positive impact on green technological progress in provinces of China having low environmental protection and high pollution levels.…”

Section: Literature Reviewmentioning

confidence: 99%

The impact of political competition on green innovation: A new insight into sustainable development

Yang

Guo

Gong

et al. 2023

Sustainable Development

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This research examines a panel of 121 economies worldwide over the period 1980–2020 for the impact of political competition on green innovation. We find that an increase in the intensity of political competition has a significantly negative impact on green innovation and that this impact remains significant in the long term, especially for non‐OECD countries and middle (low) income countries, whereas the sub‐indicators of political competition indicate that the level of institutionalization of political participation and the degree of government restrictions on political participation have different impacts on green innovation. The findings also reveal that lower political risk and higher levels of globalization positively moderate the negative impact of political competition on green innovation. The adverse effects of party competition are exacerbated when left‐wing parties are in power. This study offers new insight into sustainable development based on examining the relationship between political competition and green innovation.

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“…The study utilized the free software R Studio and R 4.3.0 in data analysis [17]. [18,19] Experience in cacao farming Continuous variable expressed in years [18] Access to Extension Worker 1 if has access of extension worker, 0 if otherwise [20] Knowledge of Mulching 1 if has prior knowledge of mulching, 0 if otherwise [21] Training of Mulching 1 if has training on mulching, 0 if otherwise [22] Probit model is widely used model in most adoption studies [23,24]. Similar studies on adoption of cacao production technology has also been using probit model in their regression analysis [25].…”

Section: Sampling Technique Population and Sample Sizementioning

confidence: 99%

Determinants of Mulching Adoption among Cacao Farmers of Camiguin Province, Philippines

Lloren,

Jandag,

Quiblat

2023

IOP Conf. Ser.: Earth Environ. Sci.

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Mulching is considered as a sustainable farming practice that promotes environmental conservation and improves productivity. The study was carried out to evaluate the determinants of mulching adoption among cacao farmers in the province of Camiguin, Philippines. The study was administered to 87 out of 201 cacao farmers using stratified sampling technique in the entire province of Camiguin last March 2023. Data collected were subjected to probit regression analysis using free software RStudio and R 4.3.0, where the dependent variable was the adopters of mulching, and the independent variables were age, access to extension workers, experience in cacao farming in years, knowledge, and training of mulching. Results from the probit model revealed a positive and strong relationship between adoption and knowledge of mulching (p-value=0.01) and training of mulching (p-value=0.01). The current study provides empirical evidence that knowledge and training are two vital determinants of adoption on mulching among cacao farmers in Camiguin. Educating farmers about mulching improves their knowledge and skills and increases productivity on their farms to attain sustainable agricultural production. Further studies may be conducted to assess the economic impact of adoption on farmers’ income and well-being.

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Modelling farmers’ adoption decisions of sustainable agricultural practices under varying agro-ecological conditions: A new perspective

Cited by 34 publications

References 16 publications

ESG performance and green innovation: An investigation based on quantile regression

ESG performance and green innovation: An investigation based on quantile regression

The impact of political competition on green innovation: A new insight into sustainable development

Determinants of Mulching Adoption among Cacao Farmers of Camiguin Province, Philippines

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