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Crop diversification and risk management in Indian agriculture

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Abstract

The narrow dependence on paddy and wheat cultivation along with incentives such as free electricity and water has resulted in overuse of pumps and significant depletion of ground water resources in Punjab. Stagnating yields and soil degradation due to intensive cropping pose a significant threat to long-term agricultural productivity in the state. In this paper, we focus on the farmers’ decision-making process and identify policy changes that are required to incentivize farmers to cultivate a diverse portfolio of crops and reduce dependence on paddy and wheat. Using data from four representative districts of Punjab, we quantify the impact of introducing alternate crops on the farmers’ profitability. Our analysis shows that incorporating horticultural crops in the mix increases net expected returns from cultivation for all land size classes. We also find that including alternate crops reduces water usage by up to 30 % for most farmers, while increasing the labor and working capital requirements. We also examine risk factors—price, labor, credit and yield risk—that might be contributing to the status quo and suggest risk mitigation strategies to promote crop diversification.

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Notes

  1. http://agcensus.dacnet.nic.in/StateCharacteristic.aspx, last accessed on Nov 30, 2015.

  2. http://agcensus.dacnet.nic.in/statesummarytype.aspx, last accessed on Nov 30, 2015.

  3. http://eands.dacnet.nic.in/Cost_of_Cultivation.htm, last accessed on Nov 30, 2015.

  4. http://agmarkweb.dacnet.nic.in/SA_Month_PriM.aspx, last accessed on Nov 30, 2015.

  5. http://eands.dacnet.nic.in/Cost_of_Cultivation.htm, last accessed on Nov 30, 2015.

  6. http://pbplanning.gov.in/pdf/Statistical%20abstract%202012.pdf, last accessed on Nov 30, 2015.

References

  • Aji S (2015) How Karnataka’s horticulture department is turning the farmer into an entrepreneur. In: Economic times, 29 November 2015. http://economictimes.indiatimes.com/small-biz/entrepreneurship/how-karnatakas-horticulture-department-is-turning-the-farmer-into-an-entrepreneur/articleshow/49963157.cms, last accessed on 30 Nov 2015

  • Clarke D, Mahul O, Rao KN, Verma N (2012) Weather based crop insurance in India. In: World Bank Policy Research Working Paper (5985)

  • Committee for Formulation of Agriculture Policy for Punjab State (2013) Agriculture Policy for Punjab. Government of Punjab. http://punjab.gov.in/documents/10191/20775/Agriculture+policy+of+punjab.pdf/9db4456f-55c5-4b55-882a-adf5811b2a53, last accessed on 30 Nov 2015

  • http://www.gktoday.in/apmc-act-2003/, last accessed on 18 Jan 2016

  • Maertens A, Barrett CB (2013) Measuring social networks’ effects on agricultural technology adoption. Am J Agric Econ 95(2):353–359

    Article  Google Scholar 

  • Maheshwar C, Chanakwa TS (2006) Post harvest losses due to gaps in cold chain in India—a solution. ActaHortic 712:777–784

    Google Scholar 

  • Mohan R (2006) Agricultural credit in India: status, issues, and future agenda. Econ Polit Wkly 41(11):1013–1023

    Google Scholar 

  • Narrod C, Roy D, Okello J, Avendaño B, Rich K, Thorat A (2009) Public–private partnerships and collective action in high value fruit and vegetable supply chains. Food Policy 34(1):8–15

    Article  Google Scholar 

  • Oweis T, Hachum A (2006) Water harvesting and supplemental irrigation for improved water productivity of dry farming systems in West Asia and North Africa. Agric Water Manag 80(1):57–73

    Article  Google Scholar 

  • Porter ME, Kramer MR (2011) Creating shared value. Harv Bus Rev 89(1/2):62–77

    Google Scholar 

  • Reardon T, Minten B (2011) The quiet revolution in India’s food supply chains. In: IFPRI discussion papers, 01115

  • Scherr SJ (1999) Soil degradation: a threat to developing-country food security by 2020? Intl Food Policy Res Inst 27

  • Senthilkumar K, Bindraban PS, Thiyagarajan TM, De Ridder N, Giller KE (2008) Modified rice cultivation in Tamil Nadu, India: yield gains and farmers’(lack of) acceptance. Agric Syst 98(2):82–94

    Article  Google Scholar 

  • Singh M (1997) Bonded migrant labour in Punjab agriculture. Econ Polit Wkly 32(11):518–519

    Google Scholar 

  • Swinnen JF (ed) (2007) Global supply chains, standards and the poor: how the globalization of food systems and standards affects rural development and poverty. CABI Publishing, Wallingford

    Google Scholar 

Download references

Acknowledgments

The authors thank Sukhmeet Singh (Associate Director), Arvinder Walia (Analyst), Jasmine Sharma (Researcher) at the Munjal Institute, ISB, Mohali, Gaurav Sadhwani (MBA student 2014) at ISB, Mohali, and Prashanth Hariharan Research Associate at ISB, Hyderabad, for their valuable support for data collection, analysis and other help.

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Correspondence to Sridhar Seshadri.

Appendices

Appendix 1: Mathematical program to model the farmer’s crop-allocation decisions

$$\begin{array}{*{20}l} {\max_{{A_{1} , \ldots ,A_{n} }} } \hfill & {\sum\limits_{i = 1}^{n} {\mu_{i} A_{i} - \omega L} } \hfill \\ {{\text{subject}}\,{\text{to}}} \hfill & {} \hfill \\ {} \hfill & {\sum\limits_{i = 1}^{n} {A_{i} \le A_{0} \,{\text{Land}}\;{\text{availability}}\;{\text{constraint}}} } \hfill \\ {} \hfill & {\sum\limits_{i = 1}^{n} {l_{i} A_{i} \le L_{0} + L\;{\text{labor}}\;{\text{availability}}\;{\text{constraint}}} } \hfill \\ {} \hfill & {\sum\limits_{i = 1}^{n} {c_{i} A_{i} + \omega L \le C_{0} \;{\text{capital}}\;{\text{availability}}\;{\text{constraint}}} } \hfill \\ {} \hfill & {A_{i} \ge 0\quad{\text{for}}\;i = 1, \ldots ,n,\;L \ge 0} \hfill \\ \end{array}$$

where A i is the land allocated (in hectares) to crop i by the farmer; μ i is the expected net income per hectare from crop i; l i is the labor required (in man hours) per hectare of crop i; c i is the input cost (excluding human labor cost) per hectare of crop i; A 0 is the total land available for cultivation; L 0 is the total household labor available (in man hours); L is the total external labor (in man hours) hired by the farmer; ω is the wage rate (per man hour); C 0 is the total working capital available with the farmer.

Appendix 2: Impact of alternate cropping decisions on expected income and labor use in Kharif season (See below)

District

Land size class

Change (compared to growing only paddy)

In net income (%)

In labor use (%)

Crops grown

Using only household labor

Using household plus hired labor

Using only household labor

Using household plus hired labor

Using only household labor

Using household plus hired labor

Amritsar

Marginal

314

314

289

289

Cauliflower

Cauliflower

 

Small

314

314

289

289

Cauliflower

Cauliflower

 

Medium

251

294

230

289

Cauliflower

Cauliflower

 

Large

51

183

41

225

Cauliflower

Cauliflower

Ferozpur

Marginal

319

319

476

476

Tomato

Tomato

 

Small

319

319

476

476

Tomato

Tomato

 

Medium

134

283

200

476

Paddy, tomato

Tomato

 

Large

10

83

15

151

Paddy, tomato

Paddy, tomato

Ludhiana

Marginal

348

348

289

289

Cauliflower

Cauliflower

 

Small

348

348

289

289

Cauliflower

Cauliflower

 

Medium

260

318

212

289

Cauliflower

Cauliflower

 

Large

44

166

25

187

Cauliflower

Cauliflower

Sangrur

Marginal

186

186

289

289

Cauliflower

Cauliflower

 

Small

186

186

289

289

Cauliflower

Cauliflower

 

Medium

142

171

220

289

Paddy, cauliflower

Cauliflower

 

Large

23

90

35

196

Paddy, cauliflower

Paddy, cauliflower

Appendix 3: Impact of alternate cropping decisions on expected income and labor use in Rabi season (See below)

District

Land size class

Change (compared to growing only wheat)

In net income (%)

In labor use (%)

Crops grown

Using only household labor

Using household plus hired labor

Using only household labor

Using household plus hired labor

Using only household labor

Using household plus hired labor

Amritsar

Marginal

443

443

736

736

Onion

Onion

 

Small

443

443

736

736

Onion

Onion

 

Medium

423

439

702

736

Onion, wheat

Onion

 

Large

147

310

244

595

Onion, wheat

Onion

Ferozpur

Marginal

367

367

205

205

Capsicum

Capsicum

 

Small

367

367

205

205

Capsicum

Capsicum

 

Medium

367

367

205

205

Capsicum

Capsicum

 

Large

283

311

150

170

Capsicum

Capsicum

Ludhiana

Marginal

255

255

736

736

Onion

Onion

 

Small

255

255

736

736

Onion

Onion

 

Medium

229

247

659

736

Onion, wheat

Onion

 

Large

71

109

204

362

Onion, wheat

Onion, wheat

Sangrur

Marginal

291

291

736

736

Onion

Onion

 

Small

291

291

736

736

Onion

Onion

 

Medium

268

285

679

736

Onion, wheat

Onion

 

Large

90

144

229

410

Onion, wheat

Onion, wheat

Appendix 4: Impact of alternate cropping decisions on expected income and labor use on Annual Basis (See below)

District

Land size class

Change (compared to growing only paddy or wheat)

In net income (%)

In labor use (%)

Crops grown

Using only household labor

Using household plus hired labor

Using only household labor

Using household plus hired labor

Using only household labor

Using household plus hired labor

Amritsar

Marginal

384

384

419

419

Cauliflower, onion

Cauliflower, onion

 

Small

384

384

419

419

Cauliflower, onion

Cauliflower, onion

 

Medium

345

373

368

419

Cauliflower, onion, wheat

Cauliflower, onion

 

Large

103

252

100

333

Cauliflower, onion, wheat

Cauliflower, onion

Ferozpur

Marginal

333

333

391

391

Tomato, capsicum

Tomato, capsicum

 

Small

333

333

391

391

Tomato, capsicum

Tomato, capsicum

 

Medium

202

308

202

391

Paddy, tomato, capsicum

Tomato, capsicum

 

Large

90

150

57

157

Paddy, tomato, capsicum

Paddy, tomato, capsicum

Ludhiana

Marginal

292

292

419

419

Cauliflower, onion

Cauliflower, onion

 

Small

292

292

419

419

Cauliflower, onion

Cauliflower, onion

 

Medium

241

275

342

419

Cauliflower, onion, wheat

Cauliflower, onion

 

Large

60

131

77

238

Cauliflower, onion, wheat

Cauliflower, onion, wheat

Sangrur

Marginal

237

237

419

419

Cauliflower, onion

Cauliflower, onion

 

Small

237

237

419

419

Cauliflower, onion

Cauliflower, onion

 

Medium

203

227

354

419

Paddy, cauliflower, onion, wheat

Cauliflower, onion

 

Large

56

117

92

258

Paddy, cauliflower, onion, wheat

Paddy, cauliflower, onion, wheat

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Chhatre, A., Devalkar, S. & Seshadri, S. Crop diversification and risk management in Indian agriculture. Decision 43, 167–179 (2016). https://doi.org/10.1007/s40622-016-0129-1

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