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Despite Algeria's abundant natural resources, achieving sustainable growth and prosperity remains challenging. Amid this, labour productivity within the agricultural sector stands as a silent warrior, holding within its grasp the secrets to propel the Algerian economy forward. Therefore, this study tries to uncover the pivotal role of labour productivity in Algeria's agricultural sector as a beacon for sustainable economic development. Using an autoregressive distributed lag (ARDL) model from 1990-2021, the results reveal that agricultural gross production value, inflation, and population growth are significant determinants of GDP per capita in the short-run, while agricultural value added per worker also emerges as an essential long-run driver. However, agricultural employment is shown to have an insignificant impact, indicating declines in the sector's workforce and neglect in recent years. Overall, the analysis confirms the hypotheses of either short-term or long-term connections between labour productivity and sustainable economic development within Algeria's agricultural sector. These findings illuminate a pathway that suggests revitalising the labour productivity within Algeria's agricultural sector could be a key lever in transforming Algeria's economic landscape towards a more prosperous and sustainable future.

In today's world, achieving sustainable economic development is a critical challenge for all nations. Their approach to progress is an attempt to harmonize economic growth with environmental protection and social well-being, ensuring that the needs of the present are met without compromising the ability of future generations to meet their own. This study focuses on Algeria, a nation striving to transition towards a more sustainable economic model. While the country has implemented various strategies aimed at economic diversification, renewable energy adoption, and foreign investment engagement, a comprehensive assessment of their effectiveness and future impact remains lacking. This study aims to fill this gap by providing a holistic analysis of Algeria's progress towards sustainable economic development. It goes beyond traditional single-factor assessments by employing a comprehensive framework and utilizing the ARIMA model and Box-Jenkins methodology to forecast the key indicators of GDP per capita, CO 2 emissions per capita, and unemployment rate. The results of the analysis reveal a mixed outlook. While the ARIMA (1, 1, 0) model predicts promising economic development, the ARIMA (2, 1, 2) model raises concerns about rising CO 2 emissions, and the ARIMA (1, 1, 1) model indicates a persistently high unemployment rate. These projections suggest that while Algeria is making strides towards improving the economy, significant challenges remain in achieving environmental sustainability and social inclusion.

This study aimed to investigate and analyse the impact of the transition to the use of renewable energies on the dimensions of sustainable development (economic, environmental, social) in Algeria during the period 2000-2019. The data were submitted to linear regression analysis through structural equation modelling using SPSS software v.25.0. The results show that the transition to renewable energy use has significantly impacted the economic dimension of sustainable development, as represented by Gross Domestic Product per capita (GDP/capita). In addition, the results demonstrate a significant correlation between the use of renewable energy and the environmental dimension of sustainable development represented by the Emissions of Carbon Dioxide (CO2). However, the study concluded that there was no significant correlation between renewable energy consumption and the social dimension of sustainable development represented by the Human Development Index (HDI).

This study investigates the relationship between sustainable development and the green economy in Algeria from 2011 to 2021, with an emphasis on understanding causality and dependency. The study investigates the policy and practice implications of this link, based on the idea that sustainable development is the cause and green economy is the effect. We employed nonlinear regression analysis to describe the intricate and dynamic nature of the connection between sustainable development and green economy. According to the result of the study, sustainable development is the driving force behind the growth and development of green economy activities. Therefore, it is recommended that Algeria prioritize sustainable development policies to enhance its green economy activities.

This study aims to analyze the relationship between financial inclusion and sustainable economic development in Algeria based on annual data from 2007 to 2017. Our applied research is based on ordinary least squares method (OLS), an appropriate standard model is found and has been shown to be efficient for shortterm forecasting. We relied on a multiple linear regression model , using independent variables representing financial inclusion (loans and total loans, number of bank branches, investment) and dependent variable representing sustainable economic development (GPD/capita), The result showed that there is a direct relationship between the indicators of financial inclusion and sustainable economic development, and increasing financial inclusion is the most important pillars of good economic performance and sustainable economic development