Table 9 Coupling coordination types of agricultural ecological security and rural green development.

From: Study on the coupling coordination and barrier factors between agroecological security and rural green development in China

 

2011

2016

2021

Coupling coordination degree

Relative development degree

Coupling coordination type

Coupling coordination degree

Relative development degree

Coupling coordination type

Coupling coordination degree

Relative development degree

Coupling coordination type

Beijing

0.6042

0.5553

X19

0.5532

0.3635

X16

0.6694

0.5875

X19

Tianjin

0.5700

0.6545

X16

0.5976

0.5225

X16

0.6209

0.7071

X19

Hebei

0.5280

1.0396

X17

0.5566

0.7895

X16

0.6200

0.6392

X19

Shanxi

0.5032

0.8082

X17

0.5202

0.7289

X16

0.5560

0.5580

X16

Inner Mongolia

0.5302

1.1233

X17

0.5555

0.9836

X17

0.6104

0.7552

X19

Liaoning

0.5199

0.8016

X17

0.5225

0.7653

X16

0.5697

0.6066

X16

Jilin

0.5383

0.9712

X17

0.5494

1.0460

X17

0.6237

0.6599

X19

Heilongjiang

0.5562

1.1195

X17

0.5751

1.2207

X18

0.6419

0.9490

X20

Shanghai

0.5747

0.4292

X16

0.5802

0.4568

X16

0.6092

0.4138

X19

Jiangsu

0.5969

0.6507

X16

0.6235

0.6334

X19

0.6786

0.6120

X19

Zhejiang

0.5767

0.7349

X16

0.6024

0.6615

X19

0.6852

0.6620

X19

Anhui

0.5368

0.9910

X17

0.5795

0.8649

X17

0.6374

0.6767

X19

Fujian

0.5669

0.6418

X16

0.6065

0.6091

X19

0.6688

0.5843

X19

Jiangxi

0.5624

0.9592

X17

0.5843

0.9366

X17

0.6388

0.7425

X19

Shandong

0.5673

0.6995

X16

0.5783

0.5890

X16

0.6441

0.6124

X19

Henan

0.5537

0.8404

X17

0.5646

0.7609

X16

0.6153

0.6452

X19

Hubei

0.5330

0.7676

X16

0.5671

0.7193

X16

0.6220

0.6383

X19

Hunan

0.5405

0.9571

X17

0.5871

0.8693

X17

0.6514

0.7313

X19

Guangdong

0.5599

0.7025

X16

0.5783

0.6584

X16

0.6305

0.6542

X19

Guangxi

0.5277

0.8751

X17

0.5556

0.8252

X17

0.6178

0.6696

X19

Hainan

0.5519

0.6068

X16

0.5538

0.6037

X16

0.6233

0.5693

X19

Chongqing

0.5032

0.9077

X17

0.5309

0.7659

X16

0.5999

0.6459

X16

Sichuan

0.5536

0.6625

X16

0.5675

0.6426

X16

0.6208

0.6282

X19

Guizhou

0.4901

1.1366

X14

0.5321

0.9734

X17

0.5946

0.7042

X16

Yunnan

0.5050

1.0656

X17

0.5332

0.9178

X17

0.5849

0.6820

X16

Tibet

0.4894

1.8462

X15

0.5787

1.4280

X18

0.5835

0.8561

X17

Shaanxi

0.4830

1.1015

X14

0.5008

0.8092

X17

0.5761

0.6535

X16

Gansu

0.4499

1.5108

X15

0.4828

1.0172

X17

0.5547

0.6799

X16

Qinghai

0.4819

1.8863

X15

0.5125

1.3652

X18

0.5809

0.8012

X17

Ningxia

0.5102

1.3330

X18

0.5293

0.9822

X17

0.5891

0.6003

X16

Xinjiang

0.5108

0.4267

X16

0.5586

0.7476

X16

0.6024

0.5433

X19

Mean

0.5347

0.9292

X17

0.5586

0.7720

X16

0.6168

0.6533

X19

Eastern area

0.5696

0.6715

X16

0.5830

0.5789

X16

0.6450

0.6008

X19

Central area

0.5383

0.8872

X17

0.5671

0.8139

X17

0.6201

0.6681

X19

Western area

0.5029

1.1563

X17

0.5365

0.9284

X17

0.5929

0.6789

X16

Northeast area

0.5381

0.9641

X17

0.5490

1.0070

X17

0.6118

0.7358

X19

Back to article page