Issues concerning Landowner Management Plan Adoption Decisions: A Recursive Bivariate Probit Approach

Joshi, Omkar; Grebner, Donald L.; Munn, Ian A.; Grala, Robert K.

doi:10.1155/2015/926303

Cited by 15 publications

(10 citation statements)

References 31 publications

(30 reference statements)

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“…The decision of forest owners to harvest/not harvest timber is guided by many factors [12,[30][31][32]. Among many variables, timber price, forest size, distance to property, ownership objectives, policy awareness, membership in a forest organization, and socio-economic factors such as age, gender, education, income, and net wealth have been emphasized in the following studies [22,31,[33][34][35]. However, their reported magnitude and statistical significance on timber harvesting intentions and intensities are not consistent across studies [30,36].…”

Section: Literature Review and Hypothesesmentioning

confidence: 99%

Determinants of Nonindustrial Private Forest Owners’ Willingness to Harvest Timber in Norway

Bashir

Sjølie

Solberg

2020

Forests

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In Norway, 84% of the productive forest is privately owned, and these forests dominate the supply of timber to industries. However, during last 80 years, annual forest growth has seen a substantial upsurge while annual timber harvest has been rather stable, generating an increasing potential for timber supply. In this study, we provide new insights to better understand Norwegian non-industrial private forest owners’ timber harvesting decisions. This was achieved by comparing the outcomes of two different statistical approaches (i.e., a combination of probit-linear models with a tobit model). These approaches are commonly applied in timber supply studies, but to the best of our knowledge have never been compared on the same dataset. The survey utilized for this study constitutes a population of Active and Inactive forest owners, based on whether the owner had harvested timber for sale during the last fifteen years. Two gross samples of 1500 and 1650 were drawn, with response rates of 56% and 49% for the Active and Inactive owner samples, respectively. The study results reveal that the average holding size varied from 25.2 ha for Inactive to 49.5 ha for both samples and 73.8 ha for Active owners. The probit model analysis indicated that knowledge of forest fund and financial objectives had the most significant impact on the willingness to harvest, with marginal effects of 11% and 12%, respectively. In the linear regression, being a male owner increased the historical timber supply by 1.48 m3 ha−1 year−1 compared to female ownership. In the second regression pathway (tobit model), the two variables male forest owner and owning forests for financial objectives triggered the supply of timber by 1.85 m3 ha−1 year−1 and 1.25 m3 ha−1 year−1, respectively. Timber prices were significant in the linear model (elasticity 1.18) and tobit model (elasticity 0.66), whereas they were non-significant in the probit model. Our study concludes that Active owners had a better understanding of acknowledging forests for economic security. Policy-makers and extension services should recognize that the Inactive forest owner group may require different actions than Active owners.

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Section: Literature Review and Hypothesesmentioning

confidence: 99%

Determinants of Nonindustrial Private Forest Owners’ Willingness to Harvest Timber in Norway

Bashir

Sjølie

Solberg

2020

Forests

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“…Lastly, in order to simultaneously estimate the determinants and impact of risk management strategies adoption, while accounting for both observable and unobservable factors in an efficient manner, endogenous switching regression model approach (Lokshin and Sajaia, 2004) was used for output being a continuous outcome. In the case of food security being a binary outcome, a recursive bivariate probit model was used (Joshi et al, 2015). Risk management strategies considered in this study are financial liquidity reservation (savings), membership of professional association (such as Cooperative societies) and following required standard in the establishment of fish farm.…”

Section: Introductionmentioning

confidence: 99%

Fish Output and Food Security under Risk Management Strategies among Women Aquaculture Farmers in Ondo State, Nigeria

Oparinde

2019

AOL

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This study examined the impact of risk management strategies' adoption on fish output and food security among women aquaculture farmers in Ondo State, Nigeria. Multistage sampling procedure was used to select 90 respondents. Endogenous switching regression model and recursive bivariate probit model were employed to carry out the impact analysis. The empirical findings revealed that farmer's age, household size, education, non-farm income, pond system, quantity of feed, credit constraint, and risk attitude significantly influenced risk management strategies' adoption. Moreover, adoption of risk management strategies increased fish output and reduced food insecurity among women aquaculture farmers. In conclusion, adoption of risk management strategies is capable of enhancing fish output and reducing food insecurity. Therefore, development agents should encourage women aquaculture farmers to adopt risk management strategies in order to have increased fish output and reduced food insecurity which can help in bridging fish supply-demand gap and reducing their level of vulnerability.

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“…normalized to unity. This is because the parameters in the model can only be identified up to a scale coefficient [34,40,49,53,59].…”

Section: Recursive Bivariate Probit (Rbp): Formal Modelling Of the Re...mentioning

confidence: 99%

“…The current paper aims to contribute to filling this research gap. This paper also makes a contribution by applying of empirical estimation approach following recent advances such as [34,40,49,53,61] in econometrics for analysing the impact.…”

Section: Introductionmentioning

confidence: 99%

Social networking and risk attitudes nexus: implication for technology adoption among smallholder cassava farmers in Ghana

et al. 2022

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Background Theoretically, social climate and social networking which may affect attitudes, motivations, and readiness towards quality improvement and rewards, influence the adoption decision process by possibly modifying the risk behaviour/attitudes of individuals. Thus for effective promotion of agricultural technologies among farmers in Africa, it is necessary to understand the social context within which risk attitudes are formed and social participation decisions are made. The study, therefore, employed the recursive bivariate endogenous switching probit model to examine how risk attitudes of farmers are shaped through social interactions in the information and communication networks of farmers to influence their technology adoption decisions. Here, the empirical application was done with the contextual case of agriculture intensification technologies in the Root and Tuber Improvement and Marketing Programme (RTIMP) introduced to smallholder cassava farmers in Ghana. This paper makes a contribution to recent advances in the empirical analysis of impact where anticipated problems posed by unobserved confounders are accounted for. This was possible since the approach used allows for the estimation of the treatment effect of endogenous risk attitude variable of interest on farmers’ adoption decisions. Results The study found that the effectiveness and usefulness of social interactions as well as a high degree of trust by cassava farmers in their social networks have higher tendencies to lower the degree of risk aversion behaviour of the farmers to significantly influence RTIMP Technologies adoption decisions positively. The ATE estimate confirms that there has been a significant increase of 38% probability in the likelihood of adopting agricultural intensification technologies in the RTIMP attributable to the non-risk aversion attitudes of cassava farmers. The cassava farmers’ risk attitudes were found to be significantly influenced by the effectiveness and usefulness of social interactions, and a high degree of trust as well as age, frequency of extension services, access to credit, and revenue. Conclusion By implication, attempts to introduce innovations to improve agricultural commodities value chains that target farmers must pay particular attention to the information and communication network to ensure the effectiveness and usefulness of information dissemination to farmers in an honest manner, so as to build trust; which will go a long way to reduce doubts and uncertainties (function of risk aversion). This will help achieve higher innovation adoption impacts thereby resulting in attaining the overall deliverable objectives of agricultural innovations.

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Issues concerning Landowner Management Plan Adoption Decisions: A Recursive Bivariate Probit Approach

Cited by 15 publications

References 31 publications

Determinants of Nonindustrial Private Forest Owners’ Willingness to Harvest Timber in Norway

Determinants of Nonindustrial Private Forest Owners’ Willingness to Harvest Timber in Norway

Fish Output and Food Security under Risk Management Strategies among Women Aquaculture Farmers in Ondo State, Nigeria

Social networking and risk attitudes nexus: implication for technology adoption among smallholder cassava farmers in Ghana

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