Sugar Price Hikes in India: The FRP–MSP–Production–Trade Nexus A Case-Cum-Research Study of Sugarcane Costs, Sugar Supply, Prices, Imports and Exports in India, 2020–21 to 2026–27

 

Sugar Price Hikes in India: The FRP–MSP–Production–Trade Nexus

A Case-Cum-Research Study of Sugarcane Costs, Sugar Supply, Prices, Imports and Exports in India, 2020–21 to 2026–27

Abstract

India's sugar market presents a continuing policy dilemma. The Government has to provide remunerative returns to sugarcane farmers, maintain the financial viability of sugar mills, support ethanol production and, at the same time, protect consumers from excessive sugar-price inflation.

This case-cum-research study examines the relationship among sugarcane production, Fair and Remunerative Price (FRP), sugar prices, exports, imports, domestic availability and policy intervention. The principal statistical period is 2020–21 to 2024–25, comprising five completed observations. The 2025–26 and 2026–27 seasons are examined separately as current policy/case years.

FRP increased continuously from ₹285 per quintal in 2020–21 to ₹340 in 2024–25, ₹355 in 2025–26 and ₹365 in 2026–27. In contrast, sugarcane production did not rise continuously. Production increased from 4,053.99 lakh tonnes in 2020–21 to a peak of 4,905.33 lakh tonnes in 2022–23 and then declined to 4,531.58 lakh tonnes in 2023–24 before recovering marginally to 4,546.11 lakh tonnes in 2024–25.

Exports displayed even greater volatility, rising from 70 LMT in 2020–21 to 110 LMT in 2021–22, before falling to 63.08 LMT in 2022–23, 1 LMT in 2023–24 and 9 LMT in 2024–25.

The statistical analysis indicates a moderate positive correlation between FRP and sugarcane production (r = 0.466), but the relationship is not statistically significant at the 5% level. The correlation between production and exports is weak and negative (r = −0.240), demonstrating that higher cane production did not automatically translate into higher exports. FRP and exports show a strong negative sample correlation (r = −0.810), although the five-observation sample is too small to establish causality.

The case therefore demonstrates that sugar-price movements cannot be explained by one variable. Cane FRP, recovery rate, production conditions, stocks, ethanol diversion, export controls, imports and consumer demand interact to determine domestic sugar availability and prices.

Keywords: Sugar, Sugarcane, FRP, MSP, Sugar Prices, Ethanol, Exports, Imports, Supply, India

 

1. Introduction

Sugarcane is one of India's most important commercial crops. The sugar value chain includes farmers, sugar mills, transporters, ethanol producers, distilleries, power producers, wholesalers, retailers and final consumers.

The Government therefore intervenes extensively in the sector. The price paid for sugarcane is influenced by the Fair and Remunerative Price (FRP), while the sugar market has also been influenced by the administered Minimum Selling Price (MSP), monthly release mechanisms, stock-management policies and export controls.

The central economic relationship can be expressed as:

Higher cane FRP + lower recovery/yield + restricted market supply → higher production cost → upward pressure on sugar prices.

However, this relationship is not automatic.

A year of high sugarcane production can coexist with high sugar prices if:

opening stocks are low;

sugar recovery is poor;

cane is diverted toward ethanol;

exports reduce domestic availability;

government release restrictions affect market supply;

climatic conditions reduce regional output;

transportation and processing costs rise.

Consequently, the sugar-price problem is fundamentally a supply-chain and policy-management problem, rather than simply a demand problem.

 

2. Research Problem

The central research problem is:

Why can sugar prices rise even when sugarcane production has not collapsed, and how does increasing FRP affect farmers, sugar mills and consumers?

The problem involves competing interests.

Stakeholder	Primary interest	Principal risk
Sugarcane farmers	Higher FRP and timely payment	Rising cultivation cost and climate risk
Sugar mills	Higher sugar realization	Rising cane cost and low recovery
Consumers	Affordable sugar	Retail-price inflation
Government	Farmer welfare and price stability	Fiscal and political pressure
Ethanol industry	Reliable feedstock	Reduced sugar-equivalent availability
Exporters	Stable export policy	Export restrictions

The source study specifically identifies these competing interests and places them at the centre of the sugar-price problem.

 

3. Objectives of the Study

To examine the movement of sugarcane production in India.

To analyse the increase in sugarcane FRP.

To examine the relationship between FRP and sugar retail prices.

To analyse India's sugar exports.

To examine the role of imports in the domestic market.

To assess the effect of production and trade policy on domestic availability.

To statistically test relationships among FRP, production and exports.

To examine the 2025–26 and 2026–27 policy situation.

To assess the structural mismatch between cane cost and sugar realization.

To develop a balanced policy framework for farmers, mills, consumers and the ethanol industry.

 

4. Research Questions

RQ1

Has sugarcane FRP increased consistently?

RQ2

Has sugarcane production increased consistently?

RQ3

Is higher FRP associated with higher sugar retail prices?

RQ4

Does higher sugarcane production automatically result in higher exports?

RQ5

Can export restrictions and ethanol diversion affect domestic sugar availability even when cane production remains relatively high?

 

5. Hypotheses

H01

There is no significant relationship between sugarcane FRP and sugar retail prices.

H11

There is a significant positive relationship between sugarcane FRP and sugar retail prices.

H02

There is no significant relationship between sugarcane production and sugar exports.

H12

There is a significant relationship between sugarcane production and sugar exports.

H03

There is no significant upward trend in sugarcane FRP during 2020–21 to 2024–25.

H13

There is a significant upward trend in sugarcane FRP during the study period.

 

6. Research Methodology

6.1 Research Design

The study uses a case-cum-research design incorporating:

documentary case analysis;

secondary time-series data;

descriptive statistics;

percentage-change analysis;

Pearson correlation;

Spearman rank correlation;

Kendall's rank trend analysis;

simple linear regression.

These methods are consistent with the methodology stated in the source study.

6.2 Study Period

The main statistical analysis covers:

2020–21 to 2024–25 = five completed observations.

The 2025–26 season is treated as a current-season case year, while 2026–27 is treated primarily as a policy year because final outcome data are not yet available.

6.3 Data Sources

The study uses secondary information from:

Department of Food and Public Distribution;

Ministry of Agriculture and Farmers Welfare;

Press Information Bureau;

Directorate General of Foreign Trade/Department of Commerce;

USDA Foreign Agricultural Service;

ICRA;

industry estimates where official final data are unavailable.

These are the principal sources specified in the uploaded study.

 

7. Sugarcane Production and FRP Analysis

Table 1: Sugarcane Production and FRP

Sugar season	Production (lakh tonnes)	FRP ₹/quintal	Annual FRP change
2020–21	4,053.99	285	—
2021–22	4,394.25	290	1.75%
2022–23	4,905.33	305	5.17%
2023–24	4,531.58	315	3.28%
2024–25	4,546.11	340	7.94%

Source data are reproduced from the supplied study.

7.1 Production Findings

Production increased by:

4,546.11 − 4,053.99 = 492.12 lakh tonnes

between 2020–21 and 2024–25.

This represents approximately:

12.14% growth.

However, the pattern was not linear.

Production:

increased in 2021–22;

increased further in 2022–23;

declined substantially in 2023–24;

recovered only marginally in 2024–25.

Thus, the statement that higher FRP automatically produces higher production is not supported by the five-year data.

 

8. FRP Trend Analysis

FRP increased from ₹285/qtl in 2020–21 to ₹340/qtl in 2024–25.

It subsequently increased to:

₹355/qtl in 2025–26;

₹365/qtl in 2026–27.

For 2025–26, the approved FRP was ₹355/qtl at a basic recovery rate of 10.25%. A premium of ₹3.46/qtl applies for each 0.1 percentage-point increase in recovery above 10.25%, with corresponding reductions below that level subject to the specified protection mechanism.

Table 2: FRP Movement

Season	FRP ₹/quintal
2020–21	285
2021–22	290
2022–23	305
2023–24	315
2024–25	340
2025–26	355
2026–27	365

FRP increased by:

₹365 − ₹285 = ₹80/qtl

or approximately:

28.07%.

The source therefore correctly identifies a persistent upward movement in the statutory cane-cost base.

 

9. Sugar MSP and the Structural Mismatch

The administered sugar MSP has remained approximately ₹31/kg since 2019, while cane FRP has continued increasing.

Therefore, the sector has experienced:

Cane procurement cost ↑

while

administered sugar MSP → broadly unchanged.

This can create pressure on sugar-mill margins when actual market realization does not increase sufficiently.

The important distinction is between the administered MSP and the actual market price. The source notes that recent ex-mill and retail prices were materially above the old ₹31/kg MSP.

Thus, the sugar industry's financial condition cannot be assessed from MSP alone.

 

10. Export Analysis

Table 3: India's Sugar Exports

Sugar season	Exports (LMT)	Annual change
2020–21	70.00	—
2021–22	110.00	+57.14%
2022–23	63.08	−42.65%
2023–24	1.00	−98.41%
2024–25	9.00	+800.00%

The underlying official series supplied in the case records these export values.

10.1 Export Interpretation

The most important feature is the collapse after 2021–22.

Exports fell from:

110 LMT → 63.08 LMT → 1 LMT → 9 LMT.

The fall between 2022–23 and 2023–24 was approximately 98.41%.

The source attributes the sharp reduction principally to government policy aimed at protecting domestic availability. Sugar exports entered the restricted category from June 2022, and a quota of 60 LMT was allocated for 2022–23.

This demonstrates that India's sugar trade is strongly policy-sensitive.

 

11. Import–Export Position

Imports are an important balancing mechanism when domestic production, stocks and consumption do not align.

The economic role of imports is different from exports.

Exports

Exports:

reduce domestic availability

and can support:

mill realization;

foreign-exchange earnings;

disposal of surplus production.

Imports

Imports:

increase domestic availability

and can help:

reduce domestic shortages;

moderate prices;

replenish supplies during exceptional production deficits.

Therefore, a rational sugar policy cannot consider exports and imports separately. Both have to be evaluated against:

domestic consumption;

opening stocks;

closing stocks;

production;

ethanol diversion;

international prices;

domestic retail prices.

The supplied source establishes the importance of trade restrictions but does not provide a complete import dataset. Therefore, an exact import-time-series statistical test is not claimed here.

 

12. Statistical Analysis

12.1 Pearson Correlation: FRP and Sugarcane Production

Using the five completed observations:

Pearson r = 0.466

This represents a moderate positive sample association.

However:

p = 0.428

Since p > 0.05, the relationship is not statistically significant at the 5% level.

Decision

H0 is not rejected.

Interpretation

Although FRP and production moved in the same direction over portions of the study period, the available five observations do not provide sufficient statistical evidence that increasing FRP significantly increased sugarcane production.

This is economically reasonable because production also depends upon rainfall, irrigation, acreage, productivity, crop conditions and climate.

 

13. Spearman Rank Correlation: FRP and Production

Spearman's rank correlation:

ρ = 0.700

with:

p = 0.188.

The positive coefficient indicates a strong monotonic tendency in this very small sample, but the relationship is not statistically significant at the 5% level.

Conclusion

The descriptive relationship is positive, but the hypothesis of a statistically significant relationship cannot be accepted from five observations.

 

14. FRP and Production Regression

The estimated regression equation is:

Production = 2486.21 + 6.515(FRP)

The estimated slope is approximately:

6.515 lakh tonnes for each ₹1/qtl increase in FRP.

However:

R² = 0.2175

and:

p = 0.428.

Therefore, only about 21.75% of the sample variation in production is explained by FRP in this simple regression.

Interpretation

FRP by itself is not an adequate predictor of annual sugarcane production.

This is a major finding of the case.

 

15. Production and Sugar Exports

Pearson correlation between production and exports:

r = −0.240

with:

p = 0.698.

The relationship is weak and negative.

Decision

H02 is not rejected.

Interpretation

The five-year data do not establish a significant relationship between sugarcane production and exports.

This directly answers RQ4.

Higher production did not automatically lead to higher exports.

The strongest example is 2022–23. Production reached its highest value of 4,905.33 lakh tonnes, yet exports fell from 110 LMT in the preceding year to 63.08 LMT.

This is evidence that government trade policy and domestic supply considerations can dominate the production-export relationship.

 

16. FRP and Exports

Pearson correlation between FRP and exports is:

r = −0.810

with:

p = 0.097.

This is a strong negative sample association, but it does not reach the conventional 5% significance level.

Spearman's coefficient is:

ρ = −0.800

with:

p = 0.104.

Interpretation

The negative relationship is economically interesting but should not be interpreted as proof that higher FRP causes lower exports.

During the period, export restrictions and domestic-availability policies changed substantially. These policy changes are confounding factors.

Therefore:

Correlation ≠ causation.

 

17. Kendall Rank Trend Test for FRP

The FRP sequence is:

285 → 290 → 305 → 315 → 340

It increases in every successive completed year.

Kendall's tau:

τ = 1.000

for the completed five-year sequence.

The direction of the trend is therefore completely positive.

The dataset establishes a clear upward movement in FRP, although the very small sample means formal significance should be interpreted cautiously.

Hypothesis Decision

For the substantive case conclusion:

H03 is rejected descriptively and H13 is supported by the observed monotonic trend.

The conclusion is that FRP increased consistently during the study period.

 

18. Consolidated Statistical Results

Relationship/Test	Statistic	p-value	Result
FRP–Production Pearson	r = 0.466	0.428	Not significant
FRP–Production Spearman	ρ = 0.700	0.188	Not significant
Production–Exports Pearson	r = −0.240	0.698	Not significant
FRP–Exports Pearson	r = −0.810	0.097	Not significant at 5%
FRP–Exports Spearman	ρ = −0.800	0.104	Not significant at 5%
FRP trend, Kendall	τ = 1.000	Small-sample limitation	Strong upward sequence

---

19. Hypothesis Testing Summary

Hypothesis	Statistical evidence	Decision
H01: No significant FRP–retail-price relationship	Complete comparable retail-price series is not available in the supplied five-year dataset	Cannot be statistically rejected from this dataset
H02: No significant production–export relationship	r = −0.240, p = 0.698	Do not reject H02
H03: No upward FRP trend	FRP rises in every completed year	Reject H03 descriptively
H12: Production and exports are significantly related	p = 0.698	Not supported
H13: FRP has an upward trend	FRP rises continuously	Supported descriptively

The original source appropriately cautions that a five-observation sample cannot establish definitive causality.

 

20. The 2025–26 Case

The 2025–26 season represents a critical transition.

The Government approved:

FRP = ₹355/qtl

at:

10.25% basic recovery rate.

The reported sugarcane production cost was ₹173/qtl, making the approved FRP substantially higher than the stated production cost.

The economic implication is two-sided.

Farmer perspective

Higher FRP:

improves assured price realization;

protects farmers against rising input costs;

strengthens incentives for cane cultivation;

improves income visibility.

Mill perspective

Higher FRP:

increases raw-material cost;

increases working-capital requirements;

raises the minimum sugar realization required for viability;

can increase pressure on mill margins if sugar prices do not rise proportionately.

Therefore, the effect of FRP cannot be judged only from the farmer's perspective.

 

21. The 2026–27 Case

For 2026–27, FRP increased further to:

₹365/qtl.

This means the statutory cane price increased by:

₹10/qtl over 2025–26

and:

₹80/qtl over 2020–21.

The cumulative increase from 2020–21 to 2026–27 is approximately:

28.07%.

The continuing increase shows that the sugar sector's cost structure is receiving sustained policy recognition.

However, the increase also strengthens the need for an economically sustainable sugar-realization mechanism.

 

22. Why Sugar Prices Can Rise Even Without a Production Collapse

The central case finding is that sugarcane production alone cannot explain retail sugar prices.

The actual supply chain is:

Sugarcane acreage

↓

Cane yield

↓

Sugar recovery

↓

Sugar production

↓

Opening stock + current production

↓

Domestic consumption + ethanol diversion + exports

↓

Available domestic sugar

↓

Wholesale price

↓

Retail price

Thus, two years with similar cane production can produce different sugar prices if recovery, stocks, ethanol diversion or trade policy differs.

 

23. Role of Ethanol Diversion

The sugar industry has increasingly become part of India's broader ethanol strategy.

Sugarcane and sugar-equivalent material can be directed toward ethanol production rather than crystalline sugar.

This creates an important policy trade-off:

More ethanol feedstock

may mean

less sugar-equivalent availability

unless cane production and recovery are sufficiently high.

Consequently, ethanol policy should be integrated with sugar-stock management.

The relevant question is not whether ethanol diversion is beneficial or harmful in isolation.

The correct question is:

How much sugar-equivalent output can be diverted to ethanol without creating an undesirable domestic sugar shortage?

 

24. Case Analysis: Farmer–Mill–Consumer Triangle

Farmer

The farmer requires a remunerative and predictable cane price.

Increasing FRP provides:

price certainty;

income support;

greater incentive to continue cane cultivation.

Mill

The mill faces:

higher cane procurement cost;

labour cost;

energy cost;

transport cost;

financing cost;

processing and recovery risk.

Therefore, increasing FRP without corresponding sugar realization can reduce margins.

Consumer

The consumer is affected when:

domestic stocks decline;

production falls;

exports reduce availability;

ethanol diversion increases;

wholesale prices rise.

The policy challenge is therefore to prevent one stakeholder's protection from becoming another stakeholder's excessive burden.

 

25. Case Findings

Finding 1: FRP increased continuously

FRP rose from ₹285/qtl in 2020–21 to ₹340/qtl in 2024–25 and subsequently to ₹355 and ₹365/qtl.

Finding 2: Production did not increase continuously

Production peaked in 2022–23 and declined thereafter.

Finding 3: FRP alone does not explain production

The Pearson relationship between FRP and production was positive but statistically insignificant.

Finding 4: Production did not determine exports

The production-export correlation was weak and statistically insignificant.

Finding 5: Export policy strongly affected market availability

The export collapse after 2021–22 coincided with government restrictions.

Finding 6: Sugar MSP and cane FRP have moved differently

The continued increase in cane FRP against a broadly unchanged administered sugar MSP creates structural margin pressure.

Finding 7: Five observations are insufficient for strong causal inference

The statistical findings should be interpreted as evidence of association rather than proof of causality.

Finding 8: The sugar-price problem is multidimensional

Production, recovery, FRP, stocks, ethanol diversion, exports, imports and domestic consumption must be analysed together.

 

26. Managerial Implications for Sugar Mills

Sugar mills should move from a pure sugar-production model toward an integrated value-chain model.

26.1 Improve recovery

Higher recovery can reduce the effective cane cost per unit of sugar.

26.2 Increase ethanol integration

Mills can diversify revenue through ethanol while maintaining appropriate sugar inventories.

26.3 Improve energy efficiency

Bagasse-based cogeneration can reduce dependence on purchased energy.

26.4 Strengthen inventory management

Stock decisions should be based on:

expected domestic demand;

government release policy;

export opportunities;

international prices;

ethanol requirements.

26.5 Improve farmer relationships

Timely cane payment and transparent quality/recovery measurement can improve farmer loyalty and supply stability.

 

27. Policy Recommendations

27.1 Introduce a more dynamic sugar MSP

The long gap between cane FRP increases and the sugar MSP should be periodically reviewed.

A revised sugar floor could consider:

cane FRP;

sugar recovery;

processing cost;

financing cost;

reasonable mill margin.

27.2 Establish a Sugar Availability Index

A monthly national index could combine:

Opening stocks + production + imports − consumption − ethanol diversion − exports

to estimate available domestic sugar.

27.3 Use calibrated export policy

Exports should not be switched abruptly between unrestricted and severely restricted regimes.

A graduated system could be used:

surplus year → greater export freedom;

balanced year → controlled exports;

shortage year → restricted exports.

27.4 Use calibrated import policy

Imports should be considered when:

stocks fall below a predetermined threshold;

domestic prices exceed a defined band;

production falls significantly.

27.5 Integrate ethanol and sugar policy

Ethanol diversion should be evaluated against expected sugar stocks before annual allocation decisions are finalized.

27.6 Encourage climate-resilient cane

Research and adoption should focus on:

drought-tolerant varieties;

water-efficient irrigation;

disease-resistant varieties;

better ratoon management;

precision agriculture.

 

28. Proposed Integrated Sugar Policy Framework

A sustainable framework can be represented as:

Farmer FRP

↓

Sugarcane Production

↓

Recovery Monitoring

↓

Sugar + Ethanol Allocation

↓

Domestic Stock Assessment

↓

Export/Import Adjustment

↓

Retail Price Monitoring

↓

Consumer Protection

This converts sugar policy from a single-price intervention into a complete supply-chain management system.

 

29. Case Discussion

The evidence rejects the simplistic explanation that sugar prices rise only because farmers receive a higher FRP.

The data show that FRP increased steadily while production moved irregularly. Exports were even more volatile and were heavily affected by government policy.

The case therefore demonstrates an important principle of agricultural economics:

The price of a processed agricultural commodity depends not only on the quantity of the underlying crop but also on processing recovery, policy intervention, inventory, alternative uses and trade restrictions.

Sugar is especially sensitive because sugarcane has multiple economic uses, particularly sugar and ethanol.

 

30. Conclusion

The Indian sugar market between 2020–21 and 2026–27 illustrates the difficulty of simultaneously protecting farmers, mills and consumers.

FRP has increased substantially—from ₹285/qtl in 2020–21 to ₹365/qtl for 2026–27. However, sugarcane production has not followed a continuously rising path. It reached a peak of 4,905.33 lakh tonnes in 2022–23 and then declined.

Exports provide an even stronger illustration of policy influence. They rose to 110 LMT in 2021–22 but subsequently collapsed to 1 LMT in 2023–24. The data therefore show that production alone does not determine international trade.

Statistical analysis reinforces this conclusion. FRP and production have a positive sample relationship, but it is not statistically significant. Production and exports show a weak negative relationship. FRP and exports show a strong negative correlation, but the relationship is also not statistically significant at the 5% level and cannot be interpreted causally.

The fundamental conclusion is therefore:

India's sugar-price problem is a FRP–production–recovery–stock–ethanol–trade interaction, not a single-variable problem.

A sustainable policy should protect farmers through remunerative FRP, protect mills through economically realistic sugar realization, protect consumers through stock and trade management, and integrate ethanol policy with domestic sugar availability.

The objective should not be to maximize the benefit of one stakeholder. It should be to maintain equilibrium across the entire sugar value chain.

 

31. Limitations of the Study

The principal statistical analysis contains only five completed annual observations.

Five observations are insufficient for strong causal econometric conclusions.

A complete comparable annual retail-price series was not supplied in the source dataset.

Final 2025–26 production and trade outcomes may be subject to revision.

2026–27 is primarily a current policy year rather than a completed outcome year.

Sugar recovery data were not available as a consistent five-year series in the supplied material.

A complete import dataset was not included in the source material.

Climate, ethanol diversion and inventory effects could not all be separately estimated through multivariate regression.

Accordingly, the statistical findings should be interpreted as case evidence and association analysis, not as definitive causal estimates.

 

32. Scope for Further Research

Future research should construct a monthly or quarterly dataset containing:

FRP;

sugarcane production;

sugar recovery;

sugar production;

opening stocks;

closing stocks;

ethanol diversion;

domestic consumption;

wholesale sugar prices;

retail sugar prices;

exports;

imports;

international sugar prices;

rainfall;

irrigation;

diesel/fertilizer costs.

A larger dataset would permit:

ARIMA forecasting;

multiple regression;

Vector Autoregression;

Granger causality testing;

structural-break analysis;

panel analysis across sugar-producing states.

Such analysis would provide stronger evidence regarding the precise causes of sugar-price movements.

 

33. Appendix A: Consolidated Dataset

Season	Production LMT*	FRP ₹/qtl	Exports LMT
2020–21	4,053.99	285	70.00
2021–22	4,394.25	290	110.00
2022–23	4,905.33	305	63.08
2023–24	4,531.58	315	1.00
2024–25	4,546.11	340	9.00

*The supplied agricultural series reports production in lakh tonnes; export series is separately reported in LMT.

 

34. Appendix B: FRP Policy Record

Season	FRP ₹/qtl	Observation
2020–21	285	Base year
2021–22	290	Increase
2022–23	305	Increase
2023–24	315	Increase
2024–25	340	Significant increase
2025–26	355	10.25% basic recovery rate
2026–27	365	Further increase

 

35. Appendix C: Export Shock

Period	Exports LMT	Interpretation
2020–21	70.00	High export activity
2021–22	110.00	Five-year peak
2022–23	63.08	Major decline
2023–24	1.00	Severe policy-linked contraction
2024–25	9.00	Partial recovery

The source identifies government restrictions as a principal reason for the sharp post-2021–22 export contraction.

 

36. Appendix D: Statistical Calculation Summary

Variable pair	Pearson r	p-value	Statistical interpretation
FRP–Production	0.466	0.428	Positive but insignificant
Production–Exports	−0.240	0.698	Weak negative, insignificant
FRP–Exports	−0.810	0.097	Strong negative, not significant at 5%

Regression

Production = 2486.21 + 6.515(FRP)

R² = 0.2175

p-value for FRP coefficient = 0.428

Therefore, FRP alone is not a statistically reliable predictor of annual sugarcane production in this five-observation sample.

 

37. Appendix E: Stakeholder Impact Matrix

Policy variable	Farmer	Mill	Consumer	Government
Higher FRP	Positive	Cost pressure	Indirect price pressure	Welfare support
Higher sugar MSP	Indirect benefit	Positive	Possible price pressure	Monitoring burden
Export restriction	Possible lower realization	Negative	Positive availability	Price stability
Import relaxation	Neutral/possible pressure	Negative if prices fall	Positive	Price stabilization
Greater ethanol diversion	Possible cane demand support	Revenue diversification	Potential sugar-supply pressure	Energy-security benefit
Higher sugar production	Positive	Positive	Positive if stocks rise	Stabilization

 

38. Appendix F: Final Case Model

FRP ↑

→ Cane procurement cost ↑

→ Mill cost ↑

↓

Production / recovery / stocks

↓

Sugar available for domestic market

↙ ↘

Ethanol diversion Exports

↓

Domestic availability

↓

Wholesale sugar price

↓

Retail sugar price

↓

Consumer impact

At the same time:

Imports ↑

→ Domestic availability ↑

→ Price pressure ↓

This model captures the central economic mechanism identified in the case.

 

39. References

Department of Food and Public Distribution, Government of India. Annual reports and sugar-sector policy data.

Ministry of Agriculture and Farmers Welfare, Government of India. Agricultural production estimates.

Press Information Bureau, Government of India. Cabinet decisions concerning sugarcane FRP.

Directorate General of Foreign Trade, Department of Commerce, Government of India. Sugar export/import policy notifications.

USDA Foreign Agricultural Service. India sugar production and trade estimates.

ICRA. Indian sugar industry reports and sector assessments.

Note: The statistical dataset and policy values in this case study are based on the supplied source document. Where the source did not contain sufficient observations for a statistical test, no unsupported numerical conclusion has been inserted.

 

Final Case Verdict

The evidence supports the following central conclusion:

Sugar prices in India should not be explained simply as “higher FRP causes higher sugar prices.”

The actual mechanism is:

FRP + production + recovery + stocks + ethanol diversion + export restrictions + imports + domestic demand

→ determine domestic sugar availability

→ which influences wholesale and retail sugar prices.

The five-year statistical evidence does not establish a significant FRP-production or production-export relationship. It does, however, clearly establish a persistent increase in FRP and substantial instability in production and exports. The policy challenge is therefore to maintain a dynamic equilibrium among farmer income, mill viability, ethanol requirements, trade interests and consumer affordability.