Search Results (5)

This article discusses the challenges of water scarcity and industrial water pollution in developing countries, specifically in Morocco, where the olive oil industry is a significant contributor to organic water pollution. The Moroccan government has implemented regulations and economic incentives to address this issue, but enforcement has been hindered by a lack of information on environmental damage and pollution abatement costs. This study aims to improve the knowledge of public decision makers on the costs of the depollution of oil mills and to use this information to develop tools for the reinforcement of the current regulation mechanism. To meet our research objective, the Translog hyperbolic distance function is used to represent the environmental technology generating three undesirable outputs (SS, BOD, and COD) and to estimate the olive oil mills’ specific pollution abatement cost (shadow price). Finally, pollutant-specific taxes are computed using the tax-standard method. The results showed that oil mills must renounce the production of olive oil totaling MAD 13,314, MAD 4706, and MAD 5786 for the reduction of one ton of SS, BOD, and COD, respectively, and that there are economies of scale in the treatment of olive mill wastewater. After calculating the rate of the environmental tax, we conclude that implementing the tax according to current emission standards can be very restrictive for oil mills, as it would represent 22% of the total annual turnover of the olive oil industry. These findings suggest a redesign of the regulation mechanism, including the implementation of environmental monitoring systems, the consideration of economies of scale in pollution control, and the use of better-targeted green subsidies and effective environmental tax. However, further research is needed to understand the impact of these measures on the economic performance of the olive oil industry. Full article

Literature on the drivers of environmental technology has been increasing in recent years. However, few studies analyze the issue in developing countries. The main goals of understanding the drivers of, and obstacles to the ecological decisions made by firms, are to design efficient environmental regulatory instruments to achieve the environmental targets. This article analyzes the determinants, including the effects of environmental regulations, of the environmental technology adoption and improvement of environmental performance in the olive oil industry in managing the olive mills wastewater (OMWW). To meet our research objective, we applied a two-stage Heckman probit model to the data collected from 156 olive oil producers in three Moroccan provinces known by a high concentration of olive oil production activity. Our results showed that the environmental regulation is one main determinant of the adoption of environmental technology by olive oil producers. However, our findings indicate that the environmental regulation, as currently designed, is not strict enough to encourage producers to improve their environmental performance in the developmental context of this particular country. The conclusions of this research also suggest that the environmental performance of oil mills, while not explained by the severity of the environmental regulation, are influenced by other external and internal factors. On the one hand, the influence of the external environment of firms via the effect of external collaboration and international market orientation, and, on the other hand by internal factors related to environmental awareness of the producer and the firm’s technical competency. In the light of our findings, we recommend to the policy makers to carry out a reform of the regulatory measures through: (i) the implementation of the current legislation, (ii) designing an effective incentive system, combining better targeted green subsidy with an optimal tax on industrial wastewater discharge (iii) setting up programs to raise awareness and reinforce technical capacities. Full article

This paper deals with the existence and multiplicity of solutions for a perturbed nonlocal fourth-order class of $p(·)\&q(·)$-Kirchhoff elliptic systems under Navier boundary conditions. By using the variational method and Ricceri’s critical point theorem, we can find a proper conditions to ensure that the perturbed fourth-order of $\left(p\right(x),q(x\left)\right)$-Kirchhoff systems has at least three weak solutions. We have extended and improved some recent results. The complexity of the combination of variable exponent theory and fourth-order Kirchhoff systems makes the results of this work novel and new contribution. Finally, a very concrete example is given to illustrate the applications of our results. Full article

Rural entrepreneurship in the developing world has long been hailed as a powerful tool for promoting the socioeconomic integration of young people and the key to avoiding rural depopulation as well as ensuring these areas remain attractive places for rural youth. However, there have been no efforts to investigate the role of collective entrepreneurship in the creation and management of new businesses in Morocco. Furthermore, we build on the theory of planned behavior (TPB) to investigate and explain entrepreneurial intention among the rural youth members of agricultural cooperatives, and identify the vulnerabilities and factors that influence the choice or decision-making between permanent membership at the cooperative and an entrepreneurial career. In this case, we apply the cognitive approach to survey rural youth in the Drâa-Tafilalet region of Morocco in 2020. The binary logistic regression analysis technique has been used and applied to build the best model to explain why some rural youth members of the cooperative, but not others, choose to become entrepreneurs. We model how agricultural cooperatives may favor or inhibit the translation of entrepreneurial intention into new venture creation. A random sample size of 130 young people has been selected, from which 54 are intending to start a business and 76 have a negative intention of self-employment. The results of the analysis showed that socio-demographic variables, individual perceptions, previous experience, and the activities of the cooperative were statistically significant and reliable in building the binary logistic regression model. Findings also suggest that the risks of agribusiness and financing constraints have a negative influence on entrepreneurial intentions of the youth and women in agricultural cooperatives. Full article

Recent years have seen an increasing awareness of the relative advantage of organic and conventional agriculture. This study aims to analyze the environmental efficiency of organic and conventional cotton in Benin. A Translog hyperbolic distance function which allows us to consider the joint production of desirable and undesirable output is used to analyze the environmental efficiency among organic and conventional cotton production farmers. The model includes factors that affect environmental efficiency. Greenhouse gas (GHG) was used as an indicator of undesirable output. Data were collected from 355 cotton producers (180 organics and 175 conventional) randomly selected in the cotton belt of Northern Benin. The results show that although organic cotton producers contribute less to GHG emission, they are environmentally inefficient compared to their conventional counterparts. Producers could improve the quantity of cotton produced by 27% and 17% while reducing emissions by 21% and 14% respectively for both organic and conventional cotton to achieve better environmental performance. However, the analysis of the shadow price revealed that organic cotton producers face lower opportunity cost than conventional producers. These results suggest that there is a need for more technical support and environmental education to improve the environmental efficiency of organic cotton in Benin. Full article