Sustainable, Ethical and Resilient Logistics

Introduction and context

International logistics has traditionally been evaluated through cost, speed, reliability and asset utilisation. These remain important, but they are no longer sufficient. Freight transport, warehousing, packaging and logistics infrastructure contribute materially to greenhouse-gas emissions, air pollution, resource depletion and social risk. At the same time, logistics networks are exposed to floods, storms, heat, drought, cyberattacks, labour disputes, geopolitical conflict, pandemics and regulatory change.

Sustainable logistics therefore means more than reducing fuel consumption. It involves managing environmental impacts, protecting people and communities, maintaining ethical business conduct, and designing supply chains that can continue to provide essential services under changing conditions. The objective is not simply to make a supply chain “green”; it is to create a logistics system that is economically viable, socially legitimate, environmentally responsible and capable of recovery and adaptation.

For international traders and logistics managers, sustainability has become strategic for five reasons. First, carbon and environmental requirements increasingly influence market access, procurement and finance. Second, customers and investors expect credible evidence rather than unsupported claims. Third, poor labour and governance practices create legal, reputational and operational exposure. Fourth, climate-related disruption directly affects delivery performance and inventory decisions. Fifth, decarbonisation technologies, fuels and digital systems are developing rapidly, making long-term decisions uncertain.

Learning objectives

By the end of this chapter, the learner should be able to:

1. Explain sustainability, resilience, ethics and ESG in an international-logistics context.
2. Measure and interpret logistics-related greenhouse-gas emissions.
3. Evaluate decarbonisation measures and alternative fuels without relying on superficial claims.
4. Apply circular-logistics and resource-efficiency principles.
5. Identify labour, human-rights, anti-corruption and data-governance risks.
6. Analyse logistics resilience and develop proportionate response strategies.
7. Design practical ESG indicators, governance controls and implementation plans.
8. Critically assess technological and regulatory uncertainty.

1. A systems view of sustainable logistics

1.1 Sustainability and ESG

Sustainability concerns the long-term ability of economic and social systems to operate without undermining ecological conditions or human wellbeing. ESG is a management and disclosure lens consisting of:

• Environmental factors: greenhouse gases, energy, air quality, water, waste, biodiversity and hazardous materials.
• Social factors: worker safety, wages, working time, forced labour, discrimination, community impacts, customer safety and human rights.
• Governance factors: accountability, board oversight, anti-bribery controls, competition, tax integrity, data protection, grievance systems and transparent reporting.

ESG is not identical to sustainability. ESG commonly structures risks and performance indicators for decision-making and reporting, whereas sustainability also includes broader questions about intergenerational equity, planetary boundaries and social justice. A company may report ESG indicators yet still fail to address significant impacts if it selects only favourable metrics.

1.2 The triple-bottom-line and the materiality problem

The triple-bottom-line model evaluates economic prosperity, environmental protection and social wellbeing. Its value is integrative: a low-cost transport option is not necessarily superior if it creates unsafe work, severe pollution or future regulatory liabilities.

Materiality determines which issues deserve priority. Financial materiality asks whether an issue can affect enterprise value, cash flow or access to capital. Impact materiality asks how the organisation affects people and the environment. A logistics company should consider both. For example, excessive driver fatigue is an impact on workers and also a financial risk because it can produce accidents, claims and service interruption.

A useful decision sequence is:

1. Map the physical and information flows.
2. Identify actual and potential environmental, social and governance impacts.
3. Assess severity, likelihood, reversibility and affected stakeholders.
4. Examine financial and regulatory exposure.
5. Prioritise controls and publish evidence-based objectives.

This avoids confusing what is easy to measure with what is important.

1.3 Life-cycle thinking

Life-cycle thinking considers impacts from extraction and production through transport, use, reuse, recycling and final disposal. A vehicle may have low operational emissions but high manufacturing impacts; an alternative fuel may reduce tailpipe emissions while producing significant upstream emissions or competing with food production. Consequently, comparisons should state their system boundary, time horizon, functional unit and data quality.

A practical functional unit might be one tonne-kilometre (tkm), meaning the movement of one tonne over one kilometre. For warehousing, a suitable unit may be one pallet handled or one order fulfilled. For a logistics service, total emissions per shipment or per revenue unit may be useful, but revenue-based measures can be distorted by price changes.

2. Measuring logistics emissions

2.1 The emissions boundary

A credible inventory identifies sources, activity data, emission factors and organisational boundaries. Common categories include:

• fuel burned by owned or controlled vehicles and equipment;
• purchased electricity, heating or cooling;
• contracted road, rail, air and ocean transport;
• warehouses, terminals, refrigeration and packaging;
• employee travel, commuting and business services; and
• purchased equipment, construction and end-of-life treatment where material.

The Greenhouse Gas Protocol commonly distinguishes:

• Scope 1: direct emissions from owned or controlled sources;
• Scope 2: indirect emissions from purchased electricity, steam, heating or cooling; and
• Scope 3: other indirect value-chain emissions, including purchased transport, fuel production, capital goods and waste.

A freight forwarder may have relatively small Scope 1 emissions but substantial Scope 3 emissions from carriers. It must therefore obtain supplier data or use carefully selected estimates.

2.2 The basic calculation

For an emission source, emissions are calculated as activity multiplied by an appropriate emission factor:

where:

• E = emissions, normally kg CO₂e;
• A = activity data, such as litres of fuel, kWh of electricity or tonne-kilometres; and
• EF = emission factor, such as kg CO₂e per litre, kWh or tkm.

The result is dimensionally valid only when the units of A match the denominator of EF. CO₂e means carbon-dioxide equivalent: a common unit expressing the climate effect of different greenhouse gases using their specified global-warming potentials. The factor must identify whether it is well-to-tank (upstream fuel production), tank-to-wheel (use by the vehicle) or well-to-wheel (both).

For several sources:

Here, i indexes each source. This additive approach assumes sources are measured over the same reporting period and that emission factors are compatible. It does not by itself prove causality or environmental superiority.

2.3 Freight intensity

For a shipment transported over distance:

where I is emissions intensity in kg CO₂e per tonne-kilometre, E is shipment emissions in kg CO₂e, m is transported mass in tonnes and d is distance in kilometres. The formula assumes that mass and distance are measured consistently and that the shipment’s allocated emissions are known. For containerised transport, allocation may use actual cargo mass, volume, occupied slots or another documented method. Different allocation rules can produce different results; therefore the method should be disclosed.

A useful operational identity is:

where D is distance, M is freight mass and EF is emissions per tonne-kilometre. This is a simplified estimate. Real emissions depend on vehicle type, load factor, route, speed, terrain, congestion, refrigeration and empty running.

2.4 Worked example: comparing two transport plans

A 20-tonne shipment moves 800 km by road. The carrier reports an average factor of 0.09 kg CO₂e per tonne-kilometre.

The shipment therefore produces an estimated 1.44 tonnes CO₂e under the stated boundary. If improved consolidation reduces the shipment to 16 tonnes-equivalent of allocated freight while the actual cargo remains 20 tonnes, the calculation is not automatically valid: allocation must represent the service actually used. A legitimate reduction would require evidence such as a lower vehicle-kilometre, a higher load factor, a different mode or a verified lower emission factor.

Suppose a rail alternative has a factor of 0.025 kg CO₂e per tonne-kilometre and the same mass and distance:

The estimated saving is 1,040 kg CO₂e, or approximately 72.2% relative to road, calculated as (1,440 − 400) ÷ 1,440 × 100. The comparison is meaningful only if service time, routing, terminal movements, electricity mix, reliability and emission boundaries are comparable.

2.5 Data quality and assurance

Emission estimates should be ranked by data quality. Primary fuel and electricity records are generally preferable to generic spend-based estimates. Important controls include:

• documenting source, period, units and boundary;
• preventing double counting between shipper, forwarder and carrier;
• separating actual from estimated data;
• retaining evidence for emission factors;
• checking unusual year-to-year changes; and
• obtaining independent assurance for material public claims.

Carbon offsets must not be treated as a substitute for reducing physical emissions. Any residual-emissions claim should disclose the type, vintage, verification and cancellation status of credits, while recognising concerns about additionality, permanence and leakage.

3. Decarbonisation and alternative fuels

3.1 The mitigation hierarchy

A robust hierarchy is:

1. Avoid: eliminate unnecessary movements, packaging, empty returns and expedited shipments.
2. Shift: use rail or water instead of road or air where service requirements permit.
3. Improve: increase load factors, optimise routes, reduce idling, electrify equipment and improve building efficiency.
4. Substitute: use lower-carbon fuels or renewable energy.
5. Neutralise residuals: address genuinely unavoidable emissions with high-integrity measures.

The hierarchy prevents a company from purchasing certificates while retaining inefficient operations.

3.2 Technology choices by mode

Road freight. Battery-electric trucks are increasingly suitable for predictable, shorter routes and depot charging. Hydrogen fuel-cell vehicles may suit some longer or heavier operations, but infrastructure, fuel cost and production pathways remain constraints. Renewable diesel and biomethane can reduce emissions in particular contexts, but their climate performance depends on feedstock, land-use effects, methane leakage and certification.

Rail. Electrified rail can be highly efficient. Diesel-electric rail may still have a lower or higher footprint depending on network conditions, load and electricity generation. Rail is constrained by infrastructure, terminal access, frequency and reliability.

Shipping. Efficiency measures include slow steaming where commercially feasible, hull and propeller improvement, weather routing, shore power and better cargo utilisation. Methanol, ammonia, hydrogen and other fuels are being developed, but they differ in energy density, safety, toxicity, storage requirements, engine maturity and upstream emissions. “Alternative” does not automatically mean “sustainable.”

Air freight. Sustainable aviation fuel can reduce life-cycle emissions for eligible pathways, but supply is limited and costs are high. Avoidance, modal shift and better shipment planning usually offer more immediate leverage.

Warehouses and terminals. Measures include solar generation, efficient lighting, heat pumps, insulation, electric material-handling equipment, battery charging management, refrigeration controls and resilient backup power.

3.3 Total-cost and risk appraisal

A technology should be assessed using total cost of ownership rather than purchase price alone. Relevant variables include capital cost, energy cost, maintenance, residual value, infrastructure, downtime, training, insurance, safety controls and regulatory exposure. Scenario analysis should test fuel price, carbon price, utilisation, interest rate and technology-life assumptions.

A decision matrix can score each option against emissions, cost, safety, maturity, infrastructure and service performance. Scores should not conceal trade-offs: a weighted score is a managerial aid, not objective truth. Stakeholders should be able to see the weights and sensitivity of the result.

4. Circular logistics and resource stewardship

Linear logistics follows a take–make–move–use–discard pattern. Circular logistics seeks to retain product and material value through repair, reuse, refurbishment, remanufacturing and high-quality recycling. Logistics activities include reverse collection, inspection, sorting, disassembly, cleaning, re-packing, resale and compliant disposal.

Circular systems alter network design. Forward and reverse flows may be consolidated, but returns are uncertain in timing, location, condition and quantity. A company must decide whether to centralise inspection, establish regional repair hubs or use third-party specialists. The lowest transport distance is not always best if centralisation increases damage, delay or energy use.

Packaging is a practical entry point. Reusable packaging can reduce single-use waste, but its benefits depend on return rate, number of cycles, washing, repair and transport. A simplified break-even model compares the life-cycle impact of one reusable unit with disposable units:

where N_break-even is the approximate number of uses required for the reusable option to break even, I_R is the impact of producing and preparing one reusable unit, I_D is the impact of one disposable unit, and I_RV is the impact of returning, washing and servicing the reusable unit per cycle. This simplified formula assumes constant impacts per cycle and excludes fixed network effects; actual analysis should include loss, damage and transport distances.

5. Ethical labour and governance

5.1 Labour risks in logistics

Logistics labour may involve subcontracting, temporary work, migrant workers, informal employment, algorithmic performance management and long working hours. Risks include wage theft, forced labour, child labour, discrimination, unsafe equipment, fatigue, inadequate rest, retaliation against whistle-blowers and denial of freedom of association.

Ethical management requires more than a supplier code. Essential controls include risk-based due diligence, worker consultation, accessible grievance mechanisms, contract clauses, remediation procedures, unannounced or worker-informed assessments, and protection against retaliation. Audits can miss hidden abuse, particularly when workers fear speaking openly. Effective due diligence therefore combines documentary review, confidential worker engagement, operational data and local expertise.

Safety indicators should include both outcomes and leading controls. Lost-time injury frequency may reveal harm after it occurs, whereas training completion, near-miss reporting, vehicle inspection and fatigue-management compliance are preventive indicators. Targets must not encourage under-reporting.

5.2 Human rights and responsible purchasing

Aggressive purchasing practices can create ethical risk. Unrealistic delivery windows, late order changes and price pressure may force carriers to overload vehicles, breach working-time rules or underpay workers. Responsible logistics procurement considers the supplier’s ability to deliver safely and lawfully, not merely the lowest freight rate.

A responsible contract should specify:

• compliance with applicable labour and safety law;
• prohibition of forced and child labour;
• working-time and rest requirements;
• transparent subcontracting;
• incident notification and corrective action;
• data protection and cybersecurity;
• anti-bribery expectations; and
• audit, grievance and termination rights proportionate to risk.

5.3 Governance, corruption and data

Ports, customs, licensing and border processes can create bribery exposure. Controls include segregation of duties, documented approval thresholds, gifts and hospitality registers, third-party screening, rotation of sensitive roles, whistle-blower channels and investigation procedures. Facilitation payments should not be normalised merely because they are common in a market.

Digital logistics creates additional governance questions. Tracking data can identify workers, drivers, customers and locations. AI systems may allocate routes or assess performance using biased or inaccurate data. Good governance requires purpose limitation, access control, data minimisation, retention rules, human review of consequential decisions and cybersecurity testing. AI may support demand forecasting and disruption detection, but accountability remains with the organisation using it.

6. Resilient logistics systems

6.1 Meaning and dimensions

Resilience is the capability to anticipate, withstand, adapt to and recover from disruption while maintaining critical functions. It has at least four dimensions:

• preparedness: identifying risks and planning responses;
• absorption: continuing operations during an event;
• adaptation: changing processes, suppliers or routes;
• recovery and learning: restoring performance and improving the system.

Resilience is not the same as redundancy. Extra inventory, suppliers or capacity can improve continuity, but they also create cost, emissions and complexity. A resilient design balances efficiency with acceptable exposure.

6.2 Risk assessment

A logistics risk register should identify hazard, exposure, vulnerability, consequence, controls, owner and trigger. Climate risks should be location-specific: a coastal warehouse faces flooding and storm surge; an inland facility may face heat, wildfire or water scarcity. Scenario analysis should include compound events, such as a drought reducing river transport while heat disrupts rail infrastructure.

A simple prioritisation method uses a risk score:

where R is a prioritisation score, L is likelihood and C is consequence, each assigned a documented ordinal scale. This is not a probability estimate unless the scales are defined quantitatively. It is useful for comparison, but it can hide low-frequency catastrophic events and interactions. Critical operations should therefore also use scenario analysis, stress testing and expert judgement.

6.3 Resilience strategies

Practical strategies include:

• multi-sourcing critical components;
• alternative ports, carriers and border crossings;
• strategic inventory for high-criticality items;
• postponement and flexible product configuration;
• visibility beyond tier-one suppliers;
• emergency transport and customs procedures;
• mutual-aid agreements and crisis communication;
• physical protection, drainage, cooling and backup power;
• cyber segmentation, offline recovery and tested backups; and
• business-continuity exercises with suppliers and public agencies.

The appropriate strategy depends on criticality and recovery time. A low-value, easily substituted item does not justify the same redundancy as a life-saving product or a component with a twelve-month replacement lead time.

7. Regulatory and reporting landscape

International logistics managers must monitor rules rather than assume that one global standard applies everywhere. Relevant frameworks and policy areas include the Paris Agreement, International Maritime Organization greenhouse-gas measures, national fuel and vehicle standards, carbon-pricing mechanisms, extended-producer-responsibility rules, modern-slavery requirements, sanctions, customs controls and corporate sustainability reporting regimes.

The exact obligations depend on jurisdiction, entity size, sector, transport mode, product and contractual role. For example, a company may be affected indirectly when a customer requires emissions data or when a carrier passes through a carbon-related cost. Managers should maintain a regulatory horizon-scanning process with legal review and documented ownership.

Credible reporting follows recognised methods such as the GHG Protocol, relevant ISO standards including ISO 14083 for quantification and reporting of greenhouse-gas emissions from transport-chain operations, and applicable reporting standards. Claims should be specific: “uses electricity from a documented renewable supply arrangement at facility X” is more defensible than “zero-carbon logistics” without a boundary or evidence.

8. Integrated implementation framework

A practical implementation programme can proceed in eight stages:

1. Establish governance: appoint executive accountability, define decision rights and create cross-functional working groups.
2. Map the network: document suppliers, modes, facilities, flows, critical nodes and data owners.
3. Baseline performance: measure emissions, energy, waste, injuries, labour risks, service reliability and disruption exposure.
4. Assess materiality: combine impact, financial, legal and stakeholder perspectives.
5. Set targets: specify baseline year, boundary, metric, deadline, interim milestones and responsibility.
6. Prioritise interventions: use abatement potential, cost, feasibility, social impact and resilience value.
7. Pilot and scale: test in selected lanes or facilities, measure actual results, then revise the business case.
8. Assure and improve: audit data, engage affected stakeholders, publish progress and correct failures.

Targets should distinguish absolute emissions from intensity. Absolute emissions can fall because activity declines, while intensity can improve despite total growth. Both may be needed. A target should also state whether it covers Scope 1, 2 or relevant Scope 3 emissions and whether offsets are excluded from the reduction calculation.

9. Illustrative case: Northstar Components

Background

Northstar Components, an illustrative international manufacturer, imports electronic assemblies through one major seaport and distributes finished products by air and road to regional customers. Its sustainability report showed modest facility emissions but rising Scope 3 transport emissions. A heatwave then closed a regional distribution centre for four days, while a labour dispute delayed cargo at the principal port.

Problem

Management initially proposed buying carbon credits and holding more inventory. This would not address the causes of emissions, worker concerns or concentration risk. The company needed a combined ESG and resilience response without sacrificing critical customer service.

Analysis

Northstar mapped routes, suppliers, facilities and shipment data. It found that 18% of urgent air shipments resulted from poor demand visibility and late production changes. Road carriers were selected mainly on price, and subcontracting was not transparent. The main distribution centre was in a flood-prone zone with inadequate drainage. Driver safety data were unavailable beyond the first-tier carrier.

The company calculated emissions using actual fuel data where available and documented emission factors for estimated contracted transport. It separated well-to-wheel assumptions from tank-to-wheel figures and avoided claiming that renewable-energy certificates eliminated all logistics emissions.

Approach and solution

Northstar implemented five measures:

1. It introduced a transport hierarchy: consolidate orders, shift eligible freight from air to rail–road, and reserve air freight for defined criticality classes.
2. It required carriers to disclose subcontractors, working-time controls, safety performance and fuel data.
3. It established a second port and a qualified alternate distribution centre, supported by a limited strategic inventory of critical components.
4. It installed flood barriers and drainage improvements and developed a heat and power-continuity plan.
5. It created a monthly dashboard covering absolute and intensity emissions, air-freight share, on-time delivery, injury indicators, supplier grievances, audit closure and disruption recovery time.

Worker representatives and carriers were consulted before changing delivery windows. The procurement team revised incentives so that carriers were not rewarded for unsafe speed or excessive empty running. An independent review tested the emissions methodology and the operation of the grievance process.

Outcome

In the first year, the programme reduced avoidable urgent air shipments and improved route flexibility. More importantly, management gained visibility into subcontracted labour and critical nodes. The alternate port was used during a later disruption, preventing a complete production stoppage. Northstar did not claim that every risk had been eliminated: costs increased for some lanes, data remained incomplete for small suppliers, and alternative fuels were deferred until infrastructure and life-cycle evidence improved.

Learning points

The case demonstrates that sustainability and resilience can reinforce one another, but not automatically. Consolidation may reduce emissions while increasing inventory or reducing responsiveness. Diversification may improve resilience while adding transport and administrative cost. Ethical procurement is operationally relevant because unsafe or exploitative labour conditions can create accidents, strikes and reputational damage. Finally, credible measurement requires transparent boundaries and an acknowledgement of uncertainty.

10. Challenges and limitations

Sustainable logistics decisions face several limitations. Emission factors vary by geography, technology and methodology. Supplier data may be commercially sensitive or incomplete. Modal comparisons can be distorted by different service levels and terminal legs. Renewable electricity claims can be misunderstood when contractual instruments are confused with physical supply. Alternative fuels may shift impacts upstream rather than remove them. Circular systems can increase reverse transport if return rates are low.

There are also distributional questions. A technology transition may reduce emissions but make some workers redundant or transfer pollution to communities near energy production. A low-carbon procurement policy that excludes small suppliers may reduce competition and economic opportunity. Ethical decision-making therefore requires stakeholder engagement, transition support and attention to who bears costs and who receives benefits.

Resilience investments may become stranded if climate projections, trade routes or technologies change. Organisations should use modular investments, staged commitments, real-options thinking and regular review rather than assuming one forecast is correct. Scenario planning is particularly valuable where uncertainty is deep and probabilities cannot be estimated credibly.

11. Best-practice checklist

A professionally managed sustainable and resilient logistics system should:

• measure material Scope 1, 2 and 3 emissions with documented boundaries;
• use consistent functional units and disclose allocation methods;
• prioritise avoidance, efficiency and modal shift before offsets;
• assess fuels on a full life-cycle and safety basis;
• integrate reverse logistics and packaging reuse into network design;
• conduct human-rights and labour due diligence through the supply chain;
• protect worker voice, safety, privacy and freedom from retaliation;
• maintain anti-bribery, sanctions, cybersecurity and data controls;
• map climate and disruption exposure by node and route;
• test business-continuity plans with suppliers and public authorities;
• use targets with baselines, interim milestones and accountable owners; and
• assure important claims and communicate uncertainty honestly.

Chapter Summary

Sustainable, ethical and resilient logistics is a strategic discipline combining environmental performance, social responsibility, governance and continuity of operations. Emissions inventories depend on clear boundaries, compatible units, reliable activity data and appropriate emission factors. The basic relationship E = A × EF supports measurement, but comparisons require careful attention to life-cycle scope, allocation and service conditions.

Decarbonisation is best organised through a hierarchy of avoidance, modal shift, operational improvement, fuel substitution and carefully governed treatment of residual emissions. Alternative fuels must be assessed for upstream impacts, safety, infrastructure, maturity and total cost. Circular logistics retains product and material value through reverse flows, repair, reuse, refurbishment and recycling.

Ethical logistics requires due diligence over labour, human rights, safety, procurement, anti-corruption and data governance. Resilience involves preparedness, absorption, adaptation, recovery and learning. Diversification, inventory, alternative routes, visibility, physical adaptation and cyber recovery should be matched to criticality rather than applied indiscriminately. Effective implementation depends on governance, materiality assessment, measurable targets, stakeholder participation, assurance and continuous learning.

Key Terms

Alternative fuel: A non-conventional energy source used instead of a standard fossil fuel, assessed through technical, safety and life-cycle criteria.

Carbon dioxide equivalent (CO₂e): A common unit expressing the climate effect of different greenhouse gases.

Circular logistics: Logistics supporting reuse, repair, refurbishment, remanufacturing, recycling and responsible recovery.

Climate resilience: The capacity to anticipate, withstand, adapt to and recover from climate-related disruption.

Emission factor: A coefficient converting activity data into estimated emissions.

ESG: Environmental, social and governance factors used to assess organisational impacts, risks and conduct.

Functional unit: The quantified service to which impacts are related, such as one tonne-kilometre.

Impact materiality: The significance of an organisation’s effects on people and the environment.

Life-cycle thinking: Assessment of impacts across production, use, transport, recovery and disposal stages.

Load factor: The proportion of available transport capacity that is utilised.

Materiality: The process of determining which issues are sufficiently significant to influence decisions or stakeholders.

Modal shift: Moving freight from one transport mode to another, often from air or road to rail or water.

Reverse logistics: Movement and management of products, packaging or materials from users back to recovery or reuse points.

Scope 1 emissions: Direct emissions from owned or controlled sources.

Scope 2 emissions: Indirect emissions from purchased energy.

Scope 3 emissions: Other indirect value-chain emissions.

Supply-chain resilience: The capability of a supply network to continue, adapt and recover under disruption.

Triple bottom line: A framework considering economic, environmental and social performance together.

Well-to-wheel: Assessment covering both upstream fuel production and vehicle use.

Review Questions

Short Answer Questions

1. Distinguish sustainability from ESG in the context of logistics.
2. What are Scope 1, Scope 2 and Scope 3 emissions?
3. Why must an emission factor’s boundary be identified?
4. State two labour risks found in international logistics.
5. Name the four broad dimensions of logistics resilience.

Long Answer Questions

1. Explain how a logistics company should design a credible greenhouse-gas inventory.
2. Discuss the mitigation hierarchy and evaluate its value for freight decarbonisation.
3. Explain how circular logistics changes transport-network and packaging decisions.
4. Analyse the relationship between responsible procurement, worker protection and operational performance.
5. Develop an implementation framework for integrating ESG and resilience into a logistics organisation.

Analytical / Application Questions

1. A 15-tonne shipment travels 600 km by road using an emission factor of 0.11 kg CO₂e per tonne-kilometre. Calculate total emissions and explain two reasons why the result may differ from actual emissions.
2. A company is choosing between a single low-cost port and two more expensive ports. Using likelihood, consequence, recovery time and emissions as criteria, design a decision approach and identify the trade-offs.
3. A reusable container has a production impact of 30 kg CO₂e, a disposable container has an impact of 4 kg CO₂e per use, and return, washing and servicing add 0.5 kg CO₂e per reusable cycle. Calculate the approximate break-even number of uses using the simplified model and identify two factors that the model omits.

Multiple Choice Questions with Answers

Question 1

Which activity is normally classified as Scope 3 emissions for a freight forwarder?

A. Fuel burned by the forwarder’s own delivery van

B. Electricity purchased for the forwarder’s office

C. Transport purchased from an external carrier

D. Fuel burned in a company-owned forklift

Correct Answer: C. Transport purchased from an external carrier

Question 2

A shipment weighs 10 tonnes, travels 500 km and has an emission factor of 0.08 kg CO₂e per tonne-kilometre. What are its estimated emissions?

A. 40 kg CO₂e

B. 400 kg CO₂e

C. 4,000 kg CO₂e

D. 0.16 kg CO₂e

Correct Answer: B. 400 kg CO₂e

Question 3

Which option comes first in the logistics decarbonisation hierarchy?

A. Purchasing offsets

B. Avoiding unnecessary movements

C. Substituting a conventional fuel

D. Installing carbon-capture equipment

Correct Answer: B. Avoiding unnecessary movements

Question 4

Why is a functional unit important in emissions measurement?

A. It eliminates the need for emission factors

B. It defines the service against which impacts are compared

C. It guarantees that all suppliers use identical technology

D. It converts Scope 3 emissions into Scope 1 emissions

Correct Answer: B. It defines the service against which impacts are compared

Question 5

Which practice most directly supports ethical labour governance?

A. Selecting the supplier with the shortest quotation

B. Removing all subcontractors from the network

C. Providing an accessible grievance mechanism with protection from retaliation

D. Measuring only delivery speed

Correct Answer: C. Providing an accessible grievance mechanism with protection from retaliation

Question 6

What is a principal limitation of a simple risk score calculated as likelihood multiplied by consequence?

A. It cannot compare any risks

B. It always produces a probability

C. It may hide low-frequency catastrophic events and interactions

D. It applies only to financial risks

Correct Answer: C. It may hide low-frequency catastrophic events and interactions

Question 7

Which statement best describes circular logistics?

A. It focuses only on faster forward transport

B. It seeks to retain product and material value through reuse and recovery

C. It requires all products to be recycled immediately

D. It eliminates the need for reverse flows

Correct Answer: B. It seeks to retain product and material value through reuse and recovery

Question 8

Why should alternative fuels be assessed on a well-to-wheel basis?

A. To consider only vehicle tailpipe emissions

B. To include upstream fuel-production effects as well as vehicle use

C. To avoid assessing fuel safety

D. To guarantee that the fuel is renewable

Correct Answer: B. To include upstream fuel-production effects as well as vehicle use

Question 9

Which measure most clearly improves logistics resilience?

A. Dependence on one port for all imports

B. Eliminating all safety stock

C. Qualifying an alternative port and route for critical cargo

D. Reporting only annual revenue

Correct Answer: C. Qualifying an alternative port and route for critical cargo

Question 10

A reusable package has a production impact of 30 kg CO₂e. Each disposable package causes 4 kg CO₂e, while each reusable cycle causes 0.5 kg CO₂e for return and washing. Using N_break-even = I_R ÷ (I_D − I_RV), what is the approximate break-even number of uses?

A. 4 uses

B. 6 uses

C. 8.6 uses

D. 60 uses

Correct Answer: C. 8.6 uses