Meta-Analysis of Life Cycle Assessment Studies for PET Water Bottle Systems

A Quantitative and Systematic Environmental Evaluation

Abstract — What This Study Really Tells Us

As sustainability becomes central to packaging innovation, Life Cycle Assessment (LCA) has emerged as one of the most powerful tools to measure environmental impact. This study conducts a meta-analysis of 14 LCA research papers (2010–2022) focused on polyethylene terephthalate (PET) water bottles, aiming to produce statistically harmonized and comparable results.

Instead of narratively summarizing studies, the researchers:

  • Followed PRISMA systematic review guidelines

  • Standardized all studies to a common functional unit (1 kg of PET bottles)

  • Focused on Global Warming Potential (GWP) as the primary impact indicator

  • Divided the life cycle into six structured phases:

    • Raw Material Production (MP)

    • Bottle Production (BP)

    • Distribution & Transportation (DT)

    • Collection & Transport (CT)

    • Waste Management (WM)

    • Environmental Benefits (EB)

Key Finding

The harmonized result shows an average emission of 5.1 kg CO₂-equivalent per 1 kg of PET bottles.

Major Impact Contributors

  • Raw material production

  • Bottle manufacturing

  • Distribution & transportation

Interestingly:

  • Manufacturing stages showed low variability (because processes are relatively standardized globally).

  • End-of-life stages showed high variability, mainly due to differences in recycling rates, collection systems, and waste treatment scenarios.

The study further validated its approach by comparing results with Korean Environmental Product Declaration (EPD) data, confirming its practical reliability.

Most importantly, this meta-analytical framework can be applied beyond PET bottles — to any product category — making it highly valuable for evidence-based sustainable product development.


1. Introduction

Why PET Bottles Matter More Than Ever

The growth of:

  • E-commerce

  • Urbanization

  • Rising purchasing power

  • Expanding global population

has dramatically increased packaging waste.

Example:

If you order bottled water online, the environmental burden includes:

  • Plastic bottle production

  • Cap and label manufacturing

  • Secondary packaging

  • Long-distance transport

  • Disposal or recycling

Multiply this by billions of bottles consumed annually, and the scale becomes enormous.

PET water bottles are particularly important because:

  • They dominate the bottled beverage market

  • They represent one of the fastest-growing plastic segments globally

  • They contribute significantly to plastic waste streams


What is Life Cycle Assessment (LCA)?

LCA is often called a “cradle-to-grave” approach.

It evaluates environmental impacts from:

  1. Raw material extraction

  2. Manufacturing

  3. Distribution

  4. Use phase

  5. End-of-life disposal or recycling

The methodology is standardized under:

  • ISO 14040:2006

  • ISO 14044:2006

These standards ensure:

  • Clear goal and scope definition

  • Defined functional unit

  • Transparent system boundaries

  • Consistent impact assessment methods

Example:

If two researchers assess a 1-liter PET bottle:

  • One may use a European electricity grid dataset.

  • Another may use a coal-heavy Asian grid.

  • One may assume 80% recycling.

  • Another may assume landfill disposal.

The results will differ significantly.

This is where the problem begins.


The Core Problem: Incomparability in LCA Studies

Even when evaluating the same product (a PET bottle), results vary because of:

  • Different functional units (per bottle vs per kg vs per liter of water delivered)

  • Different system boundaries

  • Different databases (e.g., Ecoinvent vs regional data)

  • Different recycling assumptions

  • Different impact assessment methods

Example:

Study A: 2.8 kg CO₂ per 1,000 bottles
Study B: 4.3 kg CO₂ per 1,000 bottles

Without harmonization, we cannot tell:

  • Which one is “correct”

  • Whether differences are methodological or real

This variability limits decision-making.


Why Previous Reviews Were Not Enough

Earlier LCA reviews were largely narrative:

  • Some compared reusable vs single-use bottles.

  • Some compared PET vs glass vs aluminum.

  • Some evaluated bio-plastics vs petrochemical plastics.

But most did not statistically harmonize numerical results.

They explained trends — but did not generate a unified carbon footprint value.

This study addresses that gap.


What is Meta-Analysis — and Why Use It?

Meta-analysis is a statistical method that combines results from multiple independent studies to derive:

  • Average estimates

  • Variability ranges

  • Statistical heterogeneity

  • Confidence intervals

It is widely used in medicine.

Medical Example:

If 15 clinical trials test a new drug:

  • Each gives slightly different results.

  • A meta-analysis pools them to give a more reliable estimate.

Similarly, for PET bottles:
Instead of relying on one LCA study, this approach synthesizes 14 independent studies.

This increases:

  • Reliability

  • Statistical robustness

  • Policy relevance


Why Focus on Global Warming Potential (GWP)?

Among many environmental indicators (acidification, eutrophication, toxicity, etc.), this study focuses on:

  • Global Warming Potential (GWP)

  • Greenhouse Gas emissions (GHG)

Because:

  • Carbon footprint is the most widely understood sustainability metric.

  • It directly links to climate change mitigation.

  • It aligns with corporate net-zero strategies.

Example:

If a company claims:

“We reduced PET bottle carbon footprint by 15%”

That refers directly to GWP.


Why PET Bottled Water?

PET water bottles were selected because:

  • They are widely studied in LCA literature.

  • Consumption is rapidly increasing.

  • Waste management challenges are severe.

  • Recycling infrastructure varies globally.

Real-World Scenarios:
  • In Germany → high recycling rates → lower net GWP.

  • In regions with low recycling → landfill or incineration increases impact.

  • Use of recycled PET (rPET) can significantly reduce emissions.

  • Bio-PET alternatives are emerging but require evaluation.

This makes PET bottles an ideal candidate for systematic comparison.


Structure of the Meta-Analysis

The study breaks the PET bottle life cycle into six phases:

Raw Material Production (MP)
  • Crude oil extraction

  • Polymerization to PET resin

Bottle Production (BP)
  • Preform injection molding

  • Blow molding into final bottle

Distribution & Transportation (DT)
  • Transport of empty bottles

  • Transport of filled bottles to retailers

Collection & Transport (CT)
  • Post-consumer waste collection

  • Transport to recycling or landfill

Waste Management (WM)
  • Recycling

  • Incineration

  • Landfilling

Environmental Benefits (EB)
  • Credit from avoided virgin material (via recycling)


Why This Study is Methodologically Important

Because it:

  • Harmonizes functional units

  • Standardizes GWP values

  • Identifies variability sources

  • Quantifies average impact

  • Compares meta-results with real-world EPD data

It bridges:
Academic research ↔ Industrial application
Statistical synthesis ↔ Practical sustainability metrics


Broader Implications for Sustainable Product Development

This approach enables:

  • Evidence-based carbon benchmarking

  • Policy evaluation

  • Corporate decision-making

  • Standardized reporting

  • Better Product Category Rule development

Example for Industry:

If a beverage company wants to redesign packaging:

  • Should they reduce weight?

  • Increase recycled content?

  • Shift to local production?

  • Improve recycling partnerships?

Meta-analysis provides statistically grounded insights rather than relying on isolated studies.


Why This Matters for Future LCA Practice

By adhering to ISO standards and harmonizing data:

  • Mean GWP values can be calculated.

  • Variation factors can be identified.

  • Typical carbon footprint ranges can be established.

This moves LCA from:

“Case-specific academic exercise”

to

“Strategic decision-making tool”

2. Materials and Methods

Systematic Framework for Conducting the Meta-Analysis


A Structured Five-Step Research Framework

The study follows a sequential five-step methodology, designed to systematically synthesize multiple LCA studies and derive an integrated conclusion.

What makes this approach powerful is that it:

  • Is iterative (data can be updated or refined)

  • Can be applied to both products and services

  • Enhances comparability across studies

  • Improves statistical robustness

Think of it as converting scattered academic findings into a structured, decision-ready dataset.


2.1 Goal and Scope Definition

(Foundation of Any Reliable LCA Meta-Analysis)

Before combining LCA results, a clear target must be defined.

Goal of the Study

To analyze the environmental performance across the entire life cycle of PET bottled water systems, with a particular focus on Global Warming Potential (GWP).

Scope

The system boundary follows a cradle-to-cradle perspective, meaning it includes:

  • Raw material extraction

  • Resin production

  • Bottle manufacturing

  • Distribution

  • Collection

  • Waste treatment

  • Recycling benefits

Unlike cradle-to-grave (which stops at disposal), cradle-to-cradle accounts for recycling credits.

Example:

If 1 kg of PET bottle waste is recycled into new PET resin:

  • Virgin material production is avoided.

  • This “avoided burden” is counted as environmental benefit.

This makes the analysis more aligned with circular economy principles.


2.2 Data Collection and Screening Process

(Ensuring Scientific Rigor and Transparency)

To perform a reliable meta-analysis, the study used a structured literature search strategy.

Data Sources

Studies were collected from:

  • Web of Science database

  • Peer-reviewed journals

  • Project reports

  • Environmental Product Declarations (EPDs)

Search Query Used

The following keywords were applied:

LCA OR life cycle assessment 
AND PET OR polyethylene terephthalate
AND bottle OR beverage OR packaging OR water system
AND GWP OR global warming OR GHG OR CO2
(2010–2023)
 

Only studies:

  • Published after 2010

  • Focused on carbon-related indicators

  • Related to PET bottle systems

were included.


PRISMA-Based Screening

The screening followed PRISMA guidelines, which ensure:

  • Transparency

  • Reproducibility

  • Quality reporting

Why PRISMA Matters

Without structured screening, meta-analysis risks bias.

Example:
If we randomly pick LCA studies, we may unintentionally:

  • Favor European high-recycling cases

  • Exclude developing country landfill scenarios

  • Include review papers instead of quantitative data

PRISMA ensures only relevant, quantitative, comparable studies are included.


Screening Outcome

  • Initial articles identified: 64

  • After exclusion criteria: 14 final studies

Studies were excluded if they:

  • Did not provide phase-wise GWP data

  • Used incompatible system boundaries

  • Were purely literature reviews

  • Did not quantify carbon emissions

This ensured the final dataset was statistically usable.


2.3 Harmonization of Data

(Making Apples Comparable to Apples)

One of the biggest challenges in LCA comparison is harmonization.

Different studies may report:

  • Per bottle

  • Per liter of water

  • Per 1000 bottles

  • Per kg of material

Without conversion, comparison is meaningless.


2.3.1 Categorizing Life Cycle Phases

To standardize results, the PET bottle life cycle was divided into six harmonized phases:

Material Production (MP)
  • Crude oil extraction

  • PET resin polymerization

  • PP label production

  • HDPE cap production

Example:
Producing 1 kg of virgin PET resin typically requires fossil feedstock and energy-intensive polymerization.


Bottle Production (BP)
  • Injection molding of preforms

  • Stretch-blow molding

  • Label printing

  • Cap molding

Example:
Electricity-intensive processes dominate this phase.


Distribution & Transportation (DT)
  • Transport of empty bottles

  • Transport of filled bottles to retailers

Example:
Shipping bottled water 800 km by truck significantly increases GWP compared to local production.


Collection & Transportation (CT)
  • Collection of used bottles

  • Transport to sorting or recovery facilities

Variability example:

  • Germany: well-organized deposit return system

  • Regions with informal collection: lower efficiency

Waste Management (WM)
  • Mechanical recycling

  • Chemical recycling

  • Incineration

  • Landfilling

Example:

  • Mechanical recycling saves emissions.

  • Incineration produces energy recovery.

  • Landfilling produces minimal immediate CO₂ but long-term environmental burdens.


Environmental Benefits (EB)
  • Avoided virgin material production

  • Energy recovery credits

Recycling types:

  • Open loop → PET → fibers

  • Closed loop → PET → new bottle-grade resin

Closed-loop recycling gives higher circular benefit.


2.3.2 Extracting Phase-Wise GWP

Not all studies reported complete phase data.

Some:

  • Provided only total GWP

  • Presented percentage contributions

  • Used graphical representations

Where necessary:

  • Total GWP × phase percentage = phase GWP

  • Bar chart lengths were digitally measured for proportional extraction

This ensures no usable data is lost.


2.3.3 Re-Calculating to a Unified Functional Unit (UFU)

Different functional units (FU) create inconsistency.

Example:

  • Study A: 0.5 L bottle

  • Study B: 1 L bottle

  • Study C: 1000 bottles

To standardize, the researchers defined:

Unified Functional Unit (UFU) = 1 kg of PET bottles

Why weight-based?
Because bottle sizes vary, but material mass is the core environmental driver.

All GWP values were converted to:

kg CO₂-eq per 1 kg PET bottle
 

This conversion enabled direct statistical comparison.


2.4 Statistical Assessment

(From Data to Insight)

After harmonization, statistical analysis was conducted:

Calculated Metrics:

  • Average (AVG)

  • Standard Deviation (SD)

  • Coefficient of Variation (CV)

Why These Matter:

  • Average → Identifies hotspot phases

  • Standard Deviation → Shows variability

  • Coefficient of Variation (CV) → Reveals uncertainty

Example:
If MP phase has:

  • Low CV → consistent across countries

  • High CV in WM phase → depends heavily on recycling rates


Validation with EPD Data

To test reliability, results were compared with Korean Environmental Product Declaration (EPD) data.

EPDs disclose:

  • Scope

  • Methodology

  • Life cycle emissions

If meta-analysis average ≈ EPD results → methodology is validated.

This bridges academic LCA and real-world product certification.


Statistical Testing of Bottle Sizes

The study used the Games–Howell post hoc test (α = 0.05) via SPSS.

Why?
Because bottle volumes (0.33 L, 0.5 L, 1 L, 2 L) may have unequal variances.

This ensures statistical rigor in volume comparison.


2.5 Assumptions and Limitations

No meta-analysis is perfect. The authors clearly define limitations.

Partial Phase Inclusion

Some studies lacked full life cycle data. Partial results were included to increase sample size.

Broader Inclusion of PET Studies

Studies on PET flakes were included.
Carbonated beverage bottles were excluded due to higher material thickness.

Waste Scenario Ambiguity

Some studies did not clearly define:

  • Recycling rate

  • Incineration percentage

  • Landfill allocation

In such cases, impacts were grouped under “Waste Management”.


Why This Methodology Is Powerful

This approach:

  • Reduces bias

  • Increases comparability

  • Quantifies variability

  • Identifies carbon hotspots

  • Validates results with market data

  • Bridges academic and policy relevance

It transforms fragmented LCA research into actionable sustainability intelligence

3. Results and Discussion

A Descriptive Interpretation of the Meta-Analysis Findings


When multiple Life Cycle Assessment (LCA) studies are brought together under a harmonized framework, patterns begin to emerge that are often invisible in isolated research papers. This meta-analysis does exactly that — it transforms fragmented findings into a coherent environmental narrative of the PET water bottle system.

Rather than simply reporting numbers, this section explains what those numbers mean, why they matter, and how they influence sustainable packaging decisions.


Understanding the Research Landscape

After applying strict PRISMA-based screening criteria, 14 studies published between 2010 and 2022 were selected for analysis. These studies originated from different regions, primarily Europe, and applied varying system boundaries and functional units.

This diversity is important.

For example, a PET bottle assessed in a country with a coal-heavy electricity mix will naturally show higher emissions than one produced in a region dominated by nuclear or renewable energy. Similarly, a country with a well-established deposit-return system will report very different end-of-life impacts compared to one relying heavily on landfill.

By harmonizing these variations, the researchers ensured that comparisons were meaningful rather than misleading.


Overall Carbon Footprint of PET Bottle Systems

After standardizing all data to a unified functional unit of 1 kg of PET bottle, the average life-cycle Global Warming Potential (GWP) was found to be:

5.093 kg CO₂-equivalent per kg of PET bottle

To put this into perspective:

  • Producing 1 kg of PET bottles emits roughly the same CO₂ as driving a standard gasoline car for approximately 20–25 kilometers.

  • A single 0.5 L bottle (weighing ~20 g) would therefore represent about 0.10 kg CO₂-eq.

This provides a tangible sense of scale for consumers and policymakers.


Material Production: The Dominant Hotspot

Across nearly all studies, the Material Production (MP) phase consistently emerged as the largest contributor to emissions.

This stage includes:

  • Extraction of fossil-based feedstock

  • Production of ethylene glycol and terephthalic acid

  • Polymerization into PET resin

  • Solid-state polymerization to achieve bottle-grade properties

These processes require high temperatures and substantial energy inputs. Since virgin PET is primarily fossil-derived, its carbon intensity is structurally embedded in the raw material stage.

Practical Example

If a beverage company switches from virgin PET to 50% recycled PET (rPET):

  • It directly reduces demand for fossil feedstock.

  • It avoids emissions associated with primary polymerization.

  • Studies suggest reductions ranging from 12% to over 80%, depending on recycling technology and energy mix.

This explains why increasing recycled content is one of the most effective decarbonization strategies in plastic packaging.


Bottle Production: Energy-Driven Impacts

The second-largest contributor is the Bottle Production (BP) phase.

Here, PET resin is converted into preforms through injection molding and then shaped into bottles using stretch-blow molding at temperatures around 260–280°C.

Electricity use dominates this phase.

Example of Improvement

A lightweighting initiative reducing bottle weight by 20% results in:

  • Lower resin demand

  • Reduced molding energy consumption

  • Lower transport emissions due to weight reduction

In one cited case, a 20% weight reduction led to roughly 21% lower carbon emissions — demonstrating how design innovation directly translates into environmental benefit.


Distribution: Distance Matters

Although not the highest contributor overall, Distribution and Transportation (DT) showed a clear relationship between transport distance and GWP.

The study observed a near-linear relationship (R² = 0.964) between distance traveled and carbon emissions. This confirms that transportation emissions scale proportionally with distance and weight.

Real-World Illustration

Transporting bottled water:

  • 60 km → minimal transport emissions

  • 750 km → significantly higher GWP

This explains why locally bottled water often has a lower footprint than imported bottled water — even when the bottle design is identical.

It also highlights the importance of:

  • Rail over road transport

  • Electric fleets

  • Regional production facilities


Waste Management: A Story of Variability

Waste Management (WM) showed substantial variability across studies.

Three primary disposal routes were analyzed:

  1. Mechanical recycling

  2. Incineration (with or without energy recovery)

  3. Landfilling

Interestingly, landfill scenarios sometimes appeared to have relatively low GWP within a 100-year time horizon because PET does not biodegrade quickly. However, this does not imply landfill is environmentally preferable — it simply reflects how carbon accounting works within defined temporal boundaries.

Recycling vs Incineration

  • Mechanical recycling consistently showed the lowest emissions.

  • Chemical recycling had higher emissions but allows higher-quality material recovery.

  • Incineration increased GWP significantly, even when energy recovery was considered.

Closed-loop recycling (bottle-to-bottle) produced the greatest environmental benefit because it directly offsets virgin PET production.

This reinforces the circular economy principle: keeping material in use is far more climate-efficient than recovering energy from it.


Environmental Benefits: Credits with Uncertainty

Environmental Benefits (EB) represent avoided emissions due to recycling or energy recovery.

This phase showed the highest coefficient of variation. Why?

Because each study modeled different end-of-life scenarios:

  • High-recycling European countries showed strong emission credits.

  • Regions dominated by landfill showed minimal environmental benefit.

This variability demonstrates how policy, infrastructure, and consumer behavior directly influence product-level carbon footprints.


Validation Against Market Data

To ensure robustness, the meta-analysis results were compared against national Environmental Product Declaration (EPD) data from Korea.

The EPD system follows internationally recognized standards such as:

  • ISO 14040

  • ISO 14044

  • ISO 14025

The Korean EPD average for PET bottles was:

5.424 kg CO₂-eq per kg

The meta-analysis result:

5.093 kg CO₂-eq per kg

A difference of approximately 6.5% indicates strong methodological reliability.

This alignment suggests that meta-analysis can produce decision-grade insights comparable to certified product declarations.


Bottle Size and Packaging Efficiency

When normalized per 100 mL of water, the average emission was:

17.3 g CO₂-eq per 100 mL

A clear pattern emerged:

  • Smaller bottles (e.g., 0.33 L) had higher emissions per 100 mL.

  • Larger bottles (e.g., 2 L) had lower emissions per 100 mL.

This is due to packaging efficiency — larger bottles use proportionally less plastic per unit of water delivered.

For example:

  • Two 0.5 L bottles require more total plastic than one 1 L bottle.

  • Therefore, larger formats are more carbon-efficient per liter.

This insight has implications for retail strategy and sustainable product design.


What This Means for Sustainable Packaging Strategy

The descriptive findings of this meta-analysis reveal a clear hierarchy of action:

  1. Prioritize recycled PET integration

  2. Invest in lightweight bottle design

  3. Decarbonize energy used in production

  4. Optimize transport logistics

  5. Improve recycling infrastructure

Most importantly, the study demonstrates that the majority of emissions occur before the consumer even opens the bottle.

The climate impact is largely embedded in materials and manufacturing.

Final Reflection

This meta-analysis does more than aggregate numbers — it clarifies where intervention is most effective.

It shows that:

  • Material production is structurally carbon-intensive.

  • Recycling is essential for meaningful emission reduction.

  • Transport distance matters but is secondary to material choice.

  • Circular systems outperform linear disposal pathways.

By harmonizing global LCA studies into a unified framework, this research provides a scientifically grounded roadmap for reducing the carbon footprint of PET water bottle systems.

Source: This analysis is based on the peer-reviewed article published in Sustainability (MDPI), 2024 — Meta-Analysis of Life Cycle Assessment Studies for Polyethylene Terephthalate Water Bottle System
Available at: https://www.mdpi.com/2071-1050/16/2/535

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