In light of the overwhelming consumption of resources by the manufacturing sector, this paper examined three key subsystems that are critical in greening the sector. Whereas the extant literature has focused on technological development to reduce environmental damage, it has not analyzed profoundly how manufacturing processes can be greened effectively. Hence, using carefully gathered data of 299 respondents and structural equation modeling, this paper sought to investigate the mediating effect of social, environmental, and technical subsystems on the relationship between management support and sustainable manufacturing performance. The results show that management support has a positive relationship with sustainable manufacturing performance (p < 0.005), while social, environmental, and technical subsystems partially mediate this relationship. Hence, efforts must be taken to encourage management of manufacturing firms to support sustainable management performance, while at the same time supporting them to introduce innovative social, environmental, and technical practices.

Carbon emissions are primarily the result of human activity in urban areas. Inadequate sanitary facilities, contaminated drinking water, nonrenewable energy, and high traffic congestion have all impacted the natural ecosystem. Using data from 1975 to 2019, the study assessed the impact of the aforementioned variables on Pakistan’s carbon emissions in light of this crucial fact. The ARDL cointegration method was used to estimate the short- and long-run parameter estimates. Urban sanitation challenges and energy consumption increase carbon emissions, which affects the natural environment by raising a country’s carbon intensity. Economic expansion confirmed the inverted U-shaped relationship between carbon emissions and economic growth to verify the Environmental Kuznets Curve (EKC) hypothesis in the long run. In contrast, the monotonically rising function of carbon emissions provides evidence of the nation’s economic development in the short run. Access to clean drinking water improves population health and encourages the purchase of eco-friendly products. The government must improve sanitation services and use renewable energy sources to enhance air quality.

The study extended the conventional Autoregressive Distributed Lag (ARDL) model into the lead model, supported with a partial adjustment model and adaptive expectation model. The ARDL‐LEAD modelling is applied to Saudi Arabia's tourism industry to assess the country's environmental sustainability agenda (ESA) by using monthly time series data from 1995M01‐2018M12. The short‐run results confirmed the Environmental Kuznets Curve (EKC) hypothesis with the lag variables, while the U‐shaped relationship was found between economic growth (EG) and CO2 emissions with the leads variable. The inbound tourism and trade openness (TOP) decrease CO2 emissions at the lead factor in the short‐run. The long‐run relationship verified the U‐shaped relationship between EG and CO2 emissions, while TOP openness increases CO2 emissions to substantiate 'pollution haven hypothesis (PHH)' in a country. The Wald Granger causality shows the different variations at the current period and forecasted estimates. The Granger estimates at the current level confirmed the growth‐led emissions (GLE), tourism‐led emissions (TLE), and tourism‐led growth (TLG) hypotheses, while at forecast estimates, the results substantiate the TLE and emissions‐led growth (ELD) hypotheses in a country.

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The background of this study is the still low self-regulated learning and learning discipline for students. The purpose of this study was to examine the effect of selfregulated learning and learning discipline on student achievement, especially on social science subjects. The research method used is descriptive survey method. Data retrieval is done by questionnaires. Data analysis used a descriptive statistical method to find partial and multiple correlation coefficient with ttest. The result showed: 1) there was a significant effect of self-regulated and discipline learning together on learning achievement in social sciences. This is evidenced by the value of sig = 0,001<0.05 and Fcount =37.61. Whereas self-regulated and discipline learning to the learning achievement of social sciences. 2) There is a significant effect of self-regulated learning on learning achievement in social sciences. This is evidenced by the acquisition tcount=3.617. 3) There is a significant effect of discipline learning on learning achievement in social sciences. This is evidenced by the sig= 0.001<0.05 and tcount of 3.617.

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The results of observations and evaluations of students in 6 th grade of Semester I, mathematics learning in 2017/2018 learning year most of the scores are still below the Minimum Completion Criticism of mathematics learning by 70. This is evidenced by the data of 17 students, 8 students or (47.06%) scored above the Minimum Completion Criticism, while 9 students or (52.94%) scored below the Minimum Completion Criticism. Based on this statement, the researcher set a solution to improve mathematics learning outcomes by using the approach of the learning model Survey, Question, Read, Recite, Reflect, and Review (SQ4R). The SQ4R model is a learning model that provides curiosity and can encourage processing in depth and breadth. The formulation of the research problem is how can student learning outcomes on mathematics subjects be improved through the use of learning models (SQ4R)? How do you implement the Survey learning model (SQ4R) can improve mathematics learning outcomes for 6 th grade, students of primary school in SD Lab. School FIP-UMJ? The study was conducted in 2 cycles. Each cycle consists of 4 stages. They are planning, implementation, observation, and reflection. The research subjects were 17 students. Data collection techniques was used test material techniques. Minimum Completion Criticism score, classical learning completeness is at least 85%, and individual completeness is at least 70. Percentage of completeness in cycle I is 82.35%, and cycle II 88.24%, implementation of SQ4R model can improve Mathematics learning outcomes.

Research in this paper discusses shrinking and consolidation of flood embankments soil in swamp irrigation areas. The flood embankments are made from swampy soil materials. The focus of this research is the reduction of dyke embankment height that occurs due to soil shrinkage and soil consolidation. Investigations about the time of consolidation and land subsidence that occurred on the embankment at certain periods after the embankment established were also carried out in this study. The research sites are some swamp irrigation areas in the Tulang Bawang Watershed, around North-East Lampung, Indonesia. This research was carried out by conducting laboratory tests on soil samples and field observations on the reduction in height on flood embankments in the study area. The research shows that the main cause of total decrease on the embankment is due to linear shrinkage, consolidation of soil under the embankment, an immediate subsidence, and the subsidence of the embankment themselves. Their contribution to total decrease of embankment is 42.51%, 34.48%, 18.32%, and 4.62%, respectively. Results also indicate that the ratio between the percentages of embankment consolidation in downstream area happens faster than the one in upstream area of the river.